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2. J. Julanta Leela Rache, A. Bhuvaneswari, (2024), An Xlnet Based Target Dependent Sentiment Classification Along with a Smart Webapp for Post-disaster Management Using Django, Lecture Notes in Networks and Systems, Vol. 948 LNNS, pp. 419-431. DOI: 10.1007/978-981-97-1329-5_34.
3. A. K. Tyagi, R. K. Singh, S. Tiwari, (2024), Artificial Intelligence Based Chatbots is Killing Creative Minds: An Effective Discussion on Modern Education, Lecture Notes in Networks and Systems, Vol.1049 LNNS, pp. 113-126. DOI: 10.1007/978-3-031-64779-6_11.
4. B. Shah, A. Gupta, S. Paul, (2024), Change Detection in Optical Satellite Images Using Local Self-similarity Information, Lecture Notes in Networks and Systems, Vol. 954 LNNS, pp. 413-422. DOI: 10.1007/978-981-97-1724-8_36.
5. V. Banka, G. Singh, S. Paul, (2024), Change Detection in Remote Sensing SAR Image Using a Ratio-Based Operator, Lecture Notes in Networks and Systems, Vol. 954 LNNS, pp. 217-226. DOI: 10.1007/978-981-97-1724-8_20.
6. H. Aiyyer, R. Priyadarshini, N. Rajendran, (2024), Deciphering Crypto-Financial Media Diets: Crafting Ontologies for Insights, Proceedings 3rd International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2024. DOI: 10.1109/ACCAI61061.2024.10602182.
7. R. Karthik, V. Thalanki, P. Yadav, (2024), Deep Learning-Based Histopathological Analysis for Colon Cancer Diagnosis: A Comparative Study of CNN and Transformer Models with Image Preprocessing Techniques, Lecture Notes in Networks and Systems, Vol. 1046 LNNS, pp. 90-101. DOI: 10.1007/978-3-031-64813-7_11.
8. V. Premanand, V Arulalan, G. Divya, S. Sandhya, (2024), Deepfake Detection in Video Using Integrity Verification Method, AIP Conference Proceedings, Vol. 3075(1). DOI: 10.1063/5.0217296.
9. S. Afiya, M. Rajesh, (2024), Embedding (K 9-C9) ninto 2-CAT and triangular snake graph, AIP Conference Proceedings, Vol.3180(1). DOI: 10.1063/5.0225049.
10. R. Marappan, R. Saraswatikaniga (2024), Emerging Technologies in Online Learning with New Trends and Analysis, 1st International Conference on Electronics, Computing, Communication and Control Technology, ICECCC 2024. DOI: 10.1109/ICECCC61767.2024.10593832.
11. K. M. Sai Gopi, R. Sujithra Kanmani, E. Elakiya, B. Surendiran, (2024), Enhancing Academic Decision-Making using Semantic Analysis based Course Recommendation System, Proceedings 4th International Conference on Pervasive Computing and Social Networking, ICPCSN 2024, pp. 438-445. DOI: 10.1109/ICPCSN62568.2024.00075.
12. M. Jesher Joshua, R. Adhithya, S. Sree Dananjay, M. Revathi, (2024), Exploring the Efficacy of Federated-Continual Learning Nodes with Attention-Based Classifier for Robust Web Phishing Detection: An Empirical Investigation, International Conference on Advancements in Power, Communication and Intelligent Systems, DOI: 10.1109/APCI61480.2024.10617245.
13. S. A. Roseline, S. A. Pearline, (2024), Exploring Tree-Based Machine Learning for Multi-Illness Prediction, International Conference on Knowledge Engineering and Communication Systems, ICKECS 2024. DOI: 10.1109/ICKECS61492.2024.10616981.
14. D. J. Mala, S. Basak, A. P. Reynold, (2024), IntelliFarm Assist – A Novel Machine Learning-integrated Genetic Algorithm Based Optimal Crop Recommendation System, Lecture Notes in Networks and Systems, Vol. 1051 LNNS, pp. 42-54. DOI: 10.1007/978-3-031-64850-2_5.
15. R. D. Rajagopal, B. Saha, (2024), Optical Mark Recognition (OMR) Automated Grading using OpenCV, AIP Conference Proceedings, Vol. 3075(1). DOI: 10.1063/5.0219019.
16. P. Selvam, P. Saravanan, M. Marimuthu, M. R. Nithya,V. Sathiyapriya, V.N.Harsha (2024) “PSDNet: A Breakthrough Parking Space Detection Network Powered by YOLOv8”, Proceedings – 3rd International Conference on Advances in Computing, Communication and Applied Informatics. DOI: 10.1109/ACCAI61061.2024.10602434.
17. V. Arulalan, D. Kumar, V. Premanand, (2024), Reducing Latency in MPEG-DASH Live Streaming using Backward Q-Learning SARSA Approach, AIP Conference Proceedings, Vol. 3075(1). DOI: 10.1063/5.0217079.
18. S. Rajeshwari, M. Rajesh, (2024) Revolutionizing Smart Agriculture: Burning Number Analysis and Linear Regression for Optimal Sensor Activation in 3-Ary n-Cube Networks, International Conference on Integrated Circuits, Communication, and Computing Systems, ICIC3S 2024 – Proceedings, DOI: 10.1109/ICIC3S61846.2024.10603271.
19. A.Revathi, R.N.Venkataraman, M.Moola, (2024), A CNN Approach for Brain Tumor Detection Using Diverse Optimizers, Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024, pp. 84-90. DOI: 10.1109/ICAAIC60222.2024.10575750.
20. P. Guntha, P.M.R.Beaulah, (2024), A Comprehensive Review on Underwater Object Detection Techniques, International Conference on Computing and Data Science, ICCDS 2024. DOI: 10.1109/ICCDS60734.2024.10560365.
21. B.N.Sivadas, J.Ullas, S.Paul, (2024), A Machine Learning-based Change Detection Scheme for the Remote Sensing Images using Gaussian and Lee filters, 7th International Conference on Devices, Circuits and Systems, ICDCS 2024, pp. 224-228. DOI: 10.1109/ICDCS59278.2024.10560603.
22. A.S.Abdullah, P.J.S.Kailash, U.Mishra, D.Ramesh, J.G.Reddy, (2024), A Novel Meta-heuristic Hybrid Machine learning Model for disseminating the factors corresponding to Type II Diabetes with devised clinical trials, 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024. DOI: 10.1109/ICITIIT61487.2024.10580444.
23. B.Santhosh Narayanan, L.Shyamala, (2024), Adopting Ensemble Learning and Machine Learning Techniques for Predictive Modeling in Traffic Data Analysis, Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024, pp. 528-533. DOI: 10.1109/ICAAIC60222.2024.10575594.
24. V.K.Singh, L.Kalinathan, M.Marimuthu, S.M.Vadivel, S.Palani, (2024), Advancing Virtual Reality Interaction through Real-Time Hand Gesture Recognition for Immersive Experiences, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574578.
25. A.R.Revathi, A.Arockia Agash, (2024), An Overview of Predictive Analysis for Air Quality Measurements and Visualization, International Conference on Computing and Data Science, ICCDS 2024. DOI: 10.1109/ICCDS60734.2024.10560439.
26. A.Bakiya, V.Vetrivel, K.Kamalanand, A.Anitha, S.Aswath, M.Valliammai, S.Sridevi, (2024), Artificial Bee-Optimized CNN for Osteoporosis Detection using Leg X-ray Images, Proceedings of the 2024 10th International Conference on Biosignals, Images and Instrumentation, ICBSII 2024. DOI: 10.1109/ICBSII61384.2024.10564019.
27. K.Thangaramya, G.Logeswari, S.Gajendran, J.Deepika Roselind, N.Ahirwar, (2024) Automated Resume Parsing and Ranking using Natural Language Processing, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574696.
28. V.Manjula, P.Panicker, A.Nainar, (2024), Autonomously Reactive Home Security System using Internet of Things, 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024. DOI: 10.1109/ICITIIT61487.2024.10580736.
29. M.Kaviya Elakkiya, Dejey, (2024), Combination of Activation Functions Within LeNet-5 Framework for Autism Screening, 16th International Conference on Computer and Automation Engineering, ICCAE 2024, pp. 294-298. DOI: 10.1109/ICCAE59995.2024.10569450.
30. P.Aggarwal, V.Vijayakumar, (2024), Customer Churn Prediction in the Telecom Sector, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574660.
31. P.Aggarwal, V.Vijayakumar, (2024), DeepKet- Quantum Space-Efficient Word Embedding Layer for Steganalysis, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574718.
32. N.Natesan, V.Arunkumar, S.Sathiyavathi, G.Kalaiarassan, (2024), Design and fabrication of a mobile robot for weed removal applications in agricultural fields, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574784.
33. A.S.Abdullah, V.Thalanki, A.Hariharan, (2024), Enabling Customer Segmentation Based on Classical Partitioning Methods Upon Statistical Evaluation for E-commerce Business Applications, Lecture Notes in Networks and Systems, Vol. 967 LNNS, pp. 211-223. DOI: 10.1007/978-981-97-2053-8_16.
34. A.Suresh, R.Bharathi, V.Vijayakumar, (2024), Enhanced Deep Dehazing for Haze Removal in License Plates, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574608.
35. E.Kotha, L.H.Palivela, A.Begum, (2024), Enhanced Malware Image Classification through Ensemble model, Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024, pp. 1421-1425. DOI: 10.1109/ICAAIC60222.2024.10575553.
36. S.Shoba, R.Krithiga, A.V.J.Dhanushvardan, K.Gowtham Balaaji, S.Krithika, S.Pranaav, (2024), Enhancing Communication with Real-Time Tamil Subtitled Sign Language, 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024. DOI: 10.1109/ICITIIT61487.2024.10580793.
37. S.Gajendran, G.Logeswari, K.Balasubramanian, C.U.Om Kumar, K.Thangaramya, (2024), Enhancing Drug Repositioning Through Collaborative Metric Learning: A Novel Approach, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574615.
38. U.Maanasa; Kumar, H.Raj, V.Vijayakumar, (2024), Error Identification in Translation Look-Aside Buffer, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574540.
39. R.Mohamed Riyaas, A.S.Alphonse, (2024), Face recognition system based on novel Peak Response-based Sobel Directional Pattern (PRSDP) and the Stacked Restricted Boltzmann Machine (SRBM), 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024. DOI: 10.1109/ICITIIT61487.2024.10580819.
40. A.Pilankar, L.Shyamala, (2024), Liver disease Prediction using Ensemble Learning, Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024, pp. 589-595. DOI: 10.1109/ICAAIC60222.2024.10575083.
41. D.Mohnish Kumaar, S.Palani, (2024), ResNet50 Integrated Vision Transformer for Enhanced Plant Disease Classification, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574771.
42. R.Sidharthan, V.R.Balasaraswathi, (2024), Secured Land Registration using Ethereum Blockchain and IPFS, Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024, pp. 1449-1454. DOI: 10.1109/ICAAIC60222.2024.10575276.
43. S.Rajkumar, S.Jaiswal, L.Jenila Livingston, (2024), Skin Cancer Detection using Image Processing and Machine learning, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574768.
44. H.Gupta, R.Vincent, G.Rajakumaran, A.K.Sivaraman, M.Rajesh, A.Sultana, (2024), Stacked Regressor for Crop Yield Prediction, International Conference on Computing and Data Science, ICCDS 2024. DOI: 10.1109/ICCDS60734.2024.10560364.
45. V.Pratik, S.Palani, (2024), Super Long Range CNN For Video Enhancement in Handball Action Recognition, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574588.
46. S.Abinaya, K.Sharma, (2024), Systematic Review on Machine Learning based Recommendation System, 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024. DOI: 10.1109/ICITIIT61487.2024.10580558.
47. J.J.L.Rachel, A.Bhuvaneswari, M.Kumudha, (2024), Topic Modeling Based Clustering of Disaster Tweets Using BERTopic, MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024. DOI: 10.1109/MITADTSoCiCon60330.2024.10575555.
48. K.Tejwani, A.Sharma, A.Rai, V.Vijayakumar, (2024), TPM with Multiple CRTM and Graphical Logs: An Efficient Approach to Management and Mitigation, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574551.
49. S.R.Mishra, J.P.Sahoo, S.P.Sahoo, (2024), Visual Static Hand Gesture Recognition for ASL using Multi-Feature Fusion Technique, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574668.
50. C.Rajathi, P.Rukmani, (2024), Voting Ensemble: Performance Improvement for Intrusion Detection System, 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024. DOI: 10.1109/AIIoT58432.2024.10574592.
51. A.Khan, P. Dhavakumar, (2024), A Cryptographically Secure Image Steganography Scheme Based On Arduino Microcontrollers, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 119-123. DOI: 10.1109/ICCSP60870.2024.10543409.
52. N.V.Teja, S.P.Akshay, K.A.Khaleed, C.S.Kumar, G.P.Manoj Kumar, R.M.Bhavadharini (2024), An Earthquake Alert system using Internet of Things:, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1621-1626. DOI: 10.1109/ICCSP60870.2024.10544248.
53. S.Giridhar, K.Rhithik Raj, K.P.Sreeram, N.Menon, A.Ravikumar, H. Sriraman, (2024), An Intelligent System for Preventing Accidents Due to Driver Distractions, Procedia Computer Science, Vol. 235, pp. 2196-2204. DOI: 10.1016/j.procs.2024.04.208.
54. E. Dhanuka, P. Dhavakumar, (2024), Automated Email and SMS Notification System for Unauthorized Entry using Yolov, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 271-276. DOI: 10.1109/ICCSP60870.2024.10544306.
55. N.Karthikeyan, S.R.Mahapatro, R.Akash, P.V.Rakesh Teja, (2024), Deep Neural Network Based Smart Intrusion Detection and Alerting System, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 225-230. DOI: 10.1109/ICCSP60870.2024.10543605.
56. T.Kundu, S.Abirami, (2024), Enhancing Deep Neural Network Architecture in Spatio- Temporal Forecasting Through Neural Architecture Search, International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence, RAEEUCCI 2024. DOI: 10.1109/RAEEUCCI61380.2024.10547787.
57. M.Narendra, S.Negi, (2024), Enhancing Leukemia Diagnosis through Machine Learning: A Customized ResNet50 Approach, Proceedings – 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024, pp. 728-733. DOI: 10.1109/InCACCT61598.2024.10551130.
58. S.Navyakala, R.Rathinam, (2024), Intrusion Detection System Using Hybrid Model of Denoising Autoencoder and Ladder Variational Autoencoder, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 214-219. DOI: 10.1109/ICCSP60870.2024.10543519.
59. R.R.Roy, R.Raman, M.Amanullah, V.Kumar Pandey, E.N.Ganesh, (2024), IoT Applications in Wildlife Conservation: Tracking and Protecting Endangered Species, 7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 – Proceedings, pp. 1542-1547. DOI: 10.1109/ICECA58529.2023.10395145.
60. S.Saraswat, G.Malathi, (2024), Pose Estimation based Fall Detection system using MediaPipe, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1733-1738. DOI: 10.1109/ICCSP60870.2024.10543522.
61. S.Sobitha Ahila, D.Dorji, S.Kumar, (2024), Revolutionizing the Rice Supply Chain: Blockchain and Machine Learning Integration for Transparency and Efficiency, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1454-1458. DOI: 10.1109/ICCSP60870.2024.10543842.
62. B.S.V.Reddy, C.A.Rishikeshan, V.V.Dagumati, A.Prasad, B.Singh, (2024), Customer Segmentation Analysis Using Clustering Algorithms, Lecture Notes in Networks and Systems, Vol. 728 LNNS, pp. 353-368. DOI: 10.1007/978-981-99-3932-9_31.
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64. K.V.Sharon, B.Natarajan, P.Madhumitha, A.Dhanamathi, S.Prabu, S.Saranya, (2024), A Novel Approach for Driver Drowsiness Detection using Deep Neural Networks, Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 554-559. DOI: 10.1109/ICWITE59797.2024.10503519.
65. J.Shyam Prasath, B.Natarajan, K.Venkatraman, M.Nallusamy, M.Revathi, T.Muruganantham, (2024), A Novel Approach for Electricity Load Forecasting using Hybrid Deep Learning Models, Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 570-575. DOI: 10.1109/ICWITE59797.2024.10502461.
66. R.Pravine Mukesh, B.Natarajan, R.Elakkiya, G.K.Vaidhya, P.Murali, K.Geetha, (2024), A Novel Approach for Photo-Realistic High-Quality Sign Language Video Synthesis, IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024 – Proceedings. DOI: 10.1109/INCOS59338.2024.10527474.
67. T.Venkatesh, L.M.Jenila Livingston, S.Rajkumar, (2024), A Predictive Model for Marine Debris Prediction (A Comparative Case Study), 2nd International Conference on Emerging Trends in Information Technology and Engineering, IC-ETITE 2024. DOI: 10.1109/ic-ETITE58242.2024.10493259.
68. D.Srinivasan, M.Premkumar, S.Deepa Nivethika, P.Dhilipkumar, S.Parameswari, M.K.Chowdary,(2024), A Review on Wideband High-Gain Low-THz Antennas for Wireless Applications, 11th International Conference on Computing for Sustainable Global Development, pp. 1644-1648. DOI: 10.23919/INDIACom61295.2024.10499069.
69. K.Shreyas, V.Manjula, (2024), Adaptive Edge Computing for Autonomous Vehicles in Varying Environment, 2nd International Conference on Emerging Trends in Information Technology and Engineering, IC-ETITE 2024. DOI: 10.1109/ic-ETITE58242.2024.10493481.
70. K.Srivastava, T.N.Pandey, B.B.Dash, S.S.Patra, M.R.Mishra, U.C.De, (2024), Advance Chess Engine: An use of ML Approach, 3rd International Conference for Innovation in Technology, INOCON 2024. DOI: 10.1109/INOCON60754.2024.10511742.
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72. J.Julanta Leela Rachel, A,Bhuvaneswari, (2024), An Xlnet Based Target Dependent Sentiment Classification Along with a Smart Webapp for Post-disaster Management Using Django, Lecture Notes in Networks and Systems, vol. 948 LNNS, pp. 419-431. DOI: 10.1007/978-981-97-1329-5_34.
73. A.Sheik Abdullah, R.Parkavi, P.J.S.Kailash, D.Ramesh, (2024), Analysis of Online Fake News Using Machine Learning Techniques, 2nd International Conference on Emerging Trends in Information Technology and Engineering, IC-ETITE 2024. DOI: 10.1109/ic-ETITE58242.2024.10493794.
74. M.Vergin Raja Sarobin, J.Ranjith, D.Ashwath, K.Vinithi, Smiti, V.Khushi, (2024), Comparative Analysis of Various Feature Extraction Methods on IoT 2023, Procedia Computer Science, Vol. 233, pp. 670-681. DOI: 10.1016/j.procs.2024.03.256.
75. G.Mohanraj, K.Prabakaran, M.Rajkumar, (2024), Comparative Study on Cassava Leaf Disease Classification, 2nd International Conference on Emerging Trends in Information Technology and Engineering, IC-ETITE 2024. DOI: 10.1109/ic-ETITE58242.2024.10493497.
76. K.Laxmikant, A.Arthi, V.Vinodhini, B.Natarajan, R.Bhuvaneswari, P.Selvam, (2024), Deep Convolutional Neural Networks for Early-Stage Detection and Prognostication of Lung and Colon Cancer, 2nd International Conference on Integrated Circuits and Communication Systems, ICICACS 2024. DOI: 10.1109/ICICACS60521.2024.10499027.
77. S.Sukumar, A.Harish, A.Shahina, B.Sanjana, A.Nayeemulla Khan, (2024), Deep Learning based Pulmonary Embolism Detection using Convolutional Feature Maps of CT Pulmonary Angiography Images, Procedia Computer Science, Vol. 233, pp. 317-326. DOI: 10.1016/j.procs.2024.03.221.
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82. S.S.Rajput, S.Manimaran, S.KSatapathy, S.Mishra, S.N.Mohanty, (2024), Feature Extraction and Recognition of Fingerprint Using KNN-SIFT Algorithm, 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024, pp. 247-252. DOI: 10.1109/ICICV62344.2024.00044.
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85. S.S.Gokulnath, M.Revathi, (2024), Leveraging Data Analytics in Azure for Effective Churn Management, 2nd International Conference on Emerging Trends in Information Technology and Engineering, IC-ETITE 2024. DOI: 10.1109/ic-ETITE58242.2024.10493670.
86. S.A.Kedia, N.Jesseman Devamirtham, S. Harishankar, S.K. Erramchetty, (2024), Leveraging Location Data for Enhanced Contact Tracing in Educational Settings, Proceedings of the 2nd IEEE International Conference on Networking and Communications 2024, ICNWC 2024. DOI: 10.1109/ICNWC60771.2024.10537381.
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89. B.Mittal, J.Vanzara, S.A.Sajidha, (2024), Navigating Spatial Insights: Comparative Exploration of Deep Learning Algorithms for Flood Detection using Remote Sensing Data, IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024. DOI: 10.1109/IATMSI60426.2024.10502981.
90. A.S.Abdullah, U.Mishra, G.Bala Adithyan, B.Sriram, (2024), Opinion Analysis and Text Pattern Detection from Social Media Data Using Integrated Machine Learning Approach, 2nd International Conference on Emerging Trends in Information Technology and Engineering, IC-ETITE 2024. DOI: 10.1109/ic-ETITE58242.2024.10493286.
91. B.Bharathi Kannan, S.Sriramulu, V.Gopal, M.Karthick, Y.NReddy, B.Natarajan, (2024) Optimizing Energy Usage and Data Storage in Industrial IoT Settings Through Heuristic-Based Data-Rate Processors, Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 582-587. DOI: 10.1109/ICWITE59797.2024.10502760.
92. G.S.Nikhileswar, S.S.Pampana, L.Jani Anbarasi, C.L.Bhavana, R.LNanditha, K.C.Krishna, (2024), PlantLDNet : Disease Detection in Leaf Images Using Deep Learning Models, Proceedings – 2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024, pp. 190-198. DOI: 10.1109/ICICV62344.2024.00036.
93. K.Navyeesh, K.Hinduja, L.Jani Anbarasi, N.D.Charitha, P.S.Varshitha, U.V.SVarshitha U.V.S (2024), Prediction of Knee Osteoarthritis Severity from X-Ray Images Using Ensemble Learning, Proceedings – 2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024, pp. 218-225. DOI: 10.1109/ICICV62344.2024.00040.
94. B.Subburaj, A.Agrawal, (2024), Prophet and Neural Prophet compared with Indian inflation data, 11th International Conference on Signal Processing and Integrated Networks, SPIN 2024, pp. 205-210. DOI: 10.1109/SPIN60856.2024.10512170.
95. V.Nikhil, S.A.Sahaaya Arul Mary, B.Natarajan, A.Bajulunisha, R.S.Anuradha, K.Venkatraman, (2024), Revolutionizing Influenza A Detection in Humans: Unleashing the Power of XGBoost Classification, Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp.229-234. DOI: 10.1109/ICWITE59797.2024.10503406.
96. R.Bhuvaneswari, M.Sai Lasya, B.Natarajan, M.Tamilselvi, K.Geetha, M.Velammal, (2024), Safeguarding the Homeless Using ViTransformer in Violence Detection, 2024 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024 – Proceedings. DOI: 10.1109/INCOS59338.2024.10527473.
97. R.Ratnavel, R.G.Joshua, S.R.Varsini, M.A.Kumar, (2024), Sarcasm Detection in Tamil Code-Mixed Data Using Transformers, Communications in Computer and Information Science, Vol:2046 CCIS, pp. 430-442. DOI: 10.1007/978-3-031-58495-4_32.
98. S.Sandosh, R.Saxena, S.Shah, S.S.Rachiraju, (2024), State-of-the-Art of Voice Assistance Technology, Mitigating Replay Attacks: A Comprehensive Discussion, 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024, pp. 594-601. DOI: 10.1109/ICICV62344.2024.00100.
99. Misquitta J, Kannan A, (2024), A Comparative Study of Malicious URL Detection: Regular Expression Analysis, Machine Learning, and Virus Total API, EAI/Springer Innovations in Communication and Computing, pp. 219-232. DOI: 10.1007/978-3-031-52760-9_16.
100. Ilakiyaselvan N, Dhandapani A, Khadar Nawas K, Bhattacharya A, (2024) AgriAid: An Intelligent Farmer Companion Using Deep Learning Approach, Proceedings of the 2nd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2024, DOI: 10.1109/IITCEE59897.2024.10467751.
101. Suguna M, Sangeetha M, Shanmugapriya N, Pavithra G, Anandkumar V (2024), AI Based Ontology-Driven Information Retrieval for Healthcare Information System, Proceedings – International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024, pp. 1872-1875. DOI: 10.1109/IC2PCT60090.2024.10486267.
102. Hareesh Narayan B.K, Chowdhury A, Shukla P (2024), Anomaly Detection in Surveillance Videos Using Deep Learning and SVM Based Data Reduction Method, Proceedings – International Conference on Computing, Power, and Communication Technologies, IC2PCT, pp. 1733-1738. DOI: 10.1109/IC2PCT60090.2024.10486351.
103. Rajagopal R.D, Sripriya A, Shakthi B, Manoj R.S, Rajagopal H (2024), AR Based Application for Campus Navigation, Proceedings of International Conference on Artificial Life and Robotics, pp. 495-501.
104. Akila V, Christaline J.A (2024), Breast Cancer Prediction Using Artificial Intelligence Technology”, 4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024. DOI: 10.1109/ICAECT60202.2024.10469604.
105. Theninpan R, Valarmathi P (2024), Classification of Code-Mixed Tamil Text Using Deep Learning Algorithms, Communications in Computer and Information Science, vol. 1973 CCIS, pp. 288-298. DOI: 10.1007/978-3-031-50993-3_23.
106. Bajaj D, Renjith P.N (2024), Developing ML model for early detection and prediction of Alzheimer’s disease using multi modal biomarkers, IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024. DOI: 10.1109/SCEECS61402.2024.10481979.
107. Ancilla G.M, Rajagopal H, Al-Hadi I.A, Rajagopal R.D, Mokthar N (2024), Development of a Desktop Application Restaurant Management System, Proceedings of International Conference on Artificial Life and Robotics, pp. 510-517.
108. Ganesh N, Rajagopal H (2024), Development of Robotic Assistant for Health Care Sector with A Special Focus to Aid the Geriartric Patients, Proceedings of International Conference on Artificial Life and Robotics, pp. 502-509.
109. Roy S.P, Beulah.s A, Kasat A, Pankajalakshmi P, Sivagami P (2024), Diabetic Prediction with Ensemble Model and Feature Selection Using Information Gain Method, 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024, pp. 1080-1085. DOI: 10.1109/IDCIoT59759.2024.10467649.
110. Priyadarshini R, Abdullah A.S, Sakthivel R, Monish S, Thamarai M (2024), Disease Prediction and Evaluation in Medical data upon suitable Drug Recommendation system, 2nd International Conference on Computer, Communication and Control, IC4 2024. DOI: 10.1109/IC457434.2024.10486566.
111. Rajalakshmi R, Saptharishee M, Hareesh T.S, Joshua G.R, Varsini S.R (2024), DLRG-DravidianLangTech@EACL2024: Combating Hate Speech in Telugu Code-mixed Text on Social Media, DravidianLangTech 2024 – 4th Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Proceedings of the Workshop, pp. 140-145.
112. Cong K.P, Rajagopal H, Al-Dharhani G.S.H, Mokthar N, Rachaveti D (2024), Face Recognition based on Attendance System, Proceedings of International Conference on Artificial Life and Robotics, pp. 518-523.
113. Kaushik K, Pavithra L. K, Subbulakshmi P (2024), Finite Automata Application in Monitoring the Digital Scoreboard of a Cricket Game, Communications in Computer and Information Science, vol. 1973 CCIS, pp. 143-158. DOI: 10.1007/978-3-031-50993-3_12.
114. Thota T, John R.S, Dhanush R, Amutha S, Rajagopal H (2024), GCN Analysis of Task-Based fMRI Data for Diagnosis of Schizophrenia, Proceedings of International Conference on Artificial Life and Robotics, pp. 487-494.
115. Muthumanikandan V, Sannasi G, Perumal T.S.R, Sushmitha J (2024), High performance packet classification algorithm for network security systems using modified grid-of-tries, AIP Conference Proceedings, vol. 2919, Issue. 1. DOI: 10.1063/5.0184660.
116. Prakash P, Sakthivel V (2024), Layoffs Analysis and Prediction Using Machine Learning Algorithms, Lecture Notes in Electrical Engineering, vol. 1096, pp. 535-543. DOI: 10.1007/978-981-99-7137-4_53.
117. Athish S.R, Rajesh H, Vishvanath N, Ganesh V.S, Vijesh V, Renjith P.N, (2024) “Multi-Modal Driver Behavior Analysis and Speed Estimation using Fusion of Computer Vision and InCar Sensor Data”, IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024. DOI: 10.1109/SCEECS61402.2024.10482236.
118. Jain A, Nath M, Rama Parvathy L (2024), Optimising Makespan Minimization and Performance at the Same Time with a Dynamic Cloud Task Scheduling Comparative Study of MOSOS and PSO, Proceedings – International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024, pp.944-949. DOI:10.1109/IC2PCT60090.2024.10486252.
119. Chauhan T, Renjith P.N (2024), Real-Time Network Optimization in 6G minimizing End-to-End Delay Using SARSA Algorithm, IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024. DOI:10.1109/SCEECS 61402.2024.10481931.
120. Raguraman R, Gautham Rajan T.S, Subbulakshmi P, Pavithra L.K, Thirumurthy S (2024), Social Distancing and Face Mask Detection Using YOLO Object Detection Algorithm, Communications in Computer and Information Science, vol. 1973 CCIS, pp. 66-79. DOI: 10.1007/978-3-031-50993-3_6.
121. Sakthivel V, Li J, Rama Abirami K, Min D, Lee J.W, Choi E (2024), STaaS: Cost Effective and Scalable Union Mounting in ICP for Aerospace Applications, International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2024, pp. 334-338. DOI: 10.1109/GECOST60902.2024.10474829.
122. Anand P, Sudharsan R.M, Ramachandran V, Prusty M.R (2024), Steel Defect Detection Using a ResNet-Inspired Model and Fourier Transforms, 4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024. DOI: 10.1109/ICAECT60202.2024.10469579.
123. Kothari N, Bhardwaj C, Mishra S, Satapathy S.K, Cho S.-B, Mallick P.K (2024), Towards Insider Threat Resilience: A Proposed Mitigation Model, ESIC 2024 – 4th International Conference on Emerging Systems and Intelligent Computing, PP. 62-67. DOI: 10.1109/ESIC60604.2024.10481615.
124. Chauhan T, Renjith P.N (2024), Utilizing Machine Learning to foster employee mental health in modern workplace environment, IEEE International Students’ Conference on Electrical, Electronics and Computer Science. DOI: 10.1109/SCEECS61402.2024.10482079.
125. V.Sonai, Indira B, (2024), A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network, Lecture Notes in Networks and Systems, Vol. 832, pp. 1-9. DOI: 10.1007/978-981-99-8129-8_1.
126. V.Prathyuma, S.Hareesh Teja, G.Suganeshwari, S.Divya, (2024), Assessing the Feasibility and Scalability of Using Spark for Identifying Tip Burn Diseases in Strawberry Leaves, Lecture Notes in Networks and Systems, Vol. 891, pp. 343-354. DOI: 10.1007/978-981-99-9524-0_26
127. S.Graceline Jasmine, T.Jagadish, M.Shabrez, J.L.Febin Daya, (2024), Classification of Organic and Recyclable Waste Using a Deep Learning Approach, Lecture Notes in Networks and Systems, Vol. 891, pp. 117-129. DOI: 10.1007/978-981-99-9524-0_10.
128. S.Asvitha, T.Dhivyaa, H.Divyasree, R.M.A.Bhavadharini, (2024), A survey on plant diseases detection using different ML/DL techniques, AIP Conference Proceedings, Vol. 2802, Issue. 1, DOI: 10.1063/5.0186981.
129. V.Priyanka, P.Sandhya, V.Vani, (2024), Deep learning based object detection and counting in tomato field, AIP Conference Proceedings, Vol. 2802, Issue. 1, DOI: 10.1063/5.0182358.
130. S.Tarnima, P.Sandhya, V.Vani, A.Bhaumik, (2024), Diagnosis and treatment of attention deficit hyperactivity disorder using artificial intelligence, AIP Conference Proceedings, Vol. 2802, Issue. 1. DOI: 10.1063/5.0182356.
131. S.Abinaya, A.Sharma, (2024), Enhancing Context-Aware Hybrid Collaborative Filtering Using DBSCAN Clustering Approach, Lecture Notes in Networks and Systems, Vol. 831, pp. 107-117. DOI: 10.1007/978-981-99-8135-9_10.
132. R.M.Bhavadharini, G.Amulya, K.G.Sarasvathi, J.Kirthika, (2024), Gesture controlled wheelchair with fall and obstacle detection, AIP Conference Proceedings, Vol. 2802, Issue. 1. DOI: 10.1063/5.0182491.
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134. R.Arvind, M.Helen Santhi, G.Malathi, V.Vasugi, (2024), Performance-Based Seismic Analysis of RC Multi-storey Framed Building Equipped with Dampers, Lecture Notes in Civil Engineering, Vol. 387, pp. 431-437. DOI: 10.1007/978-981-99-6175-7_39.
135. Sahni, K.Arockiasamy, (2024), Data Analysis on Determining False Movie Ratings, Smart Innovation, Systems and Technologies, Vol. 364, pp. 85-94, DOI: 10.1007/978-981-99-5180-2_8.
136. S.Deepika, K.P.Vijayakumar, V.Sugumaran, (2024), An E-Coupon Service Based on Blockchain, Lecture Notes in Networks and Systems, Vol. 738 LNNS, pp. 457-469, DOI: 10.1007/978-981-99-4433-0_38.
137. B.S.V.Reddy, C.A.Rishikeshan, V.V.Dagumati, A.Prasad, B.Singh, (2024), Customer Segmentation Analysis Using Clustering Algorithms, Lecture Notes in Networks and Systems, Vol. 728 LNNS, pp. 353-368, DOI: 10.1007/978-981-99-3932-9_31.

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2. G. Prudvi, B. Prabhakar Rao, V.A.N.S.S (2023) An Intelligent System Framework for Cancer Prediction, AIP Conference Proceedings.
3. C. Spandana, I.V. Srisurya, A.R. Priyadharshini, S. Krithika, S. Sridevi, R. Prasanna Kumar (2023) Application of Machine Learning and Deep Learning Algorithms in Predicting Virtual Network Functions for Network Function Virtualization, 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023.
4. V. Sharma, H. Atwal, I.R. Praveen Joe (2023) Artist-Specific Analysis of Spotify using BI Tools, 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023.
5. S. Shankar, S. Doshi, R. Bhuvaneshwari, I.R. Praveen Joe (2023) AutoDL: Enriching PowerBI AutoML Features with Deep Learning, 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023.
6. R. Pawar, H. Kathuria, I.R. Praveen Joe (2023) Credit Card Fraud Detection and Analysis, 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023.
7. B.C. Balusa, V. Subbarayalu, A.A. Janvekar, M.K. Rangaswamy, T.K. Mahanta, S. Darmawan (2023) Decision Making using Simple Additive Weighting and Weighted Product Method for Selection of Underground Mining Method, AIP Conference Proceedings.
8. A. Rajan, S. Annadurai, A. Chowdhury, E. Johnson (2023) Dynamic fingerprint construction and tree generation approach for biometric template protection, AIP Conference Proceedings.
9. D. Vekariya, A. Rastogi, R. Priyadarshini, M. Patil, M.S. Kumar, Bhasker Pant (2023) Mengers Authentication for efficient security system using Blockchain technology for Industrial IoT(IIOT) systems, 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023.
10. V. Viswanathan, S. Sridevi, R. Prasanna Kumar, S. Balachandran (2023) MIMIC III Text classification with the generalization of BERT transformer model synergized with XGBoost classifier, 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023.
11. R. Girija, R. Vedhapriyavadhana, S.L. Jayalakshmi (2023) Smart truck: A boon for logistic firms in fast delivery, AIP Conference Proceedings.
12. K. Mukherjee, K. Parkavi (2023) Video Based Fashion Recommendation System, 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023.
13. Pradeep K., Sharma K., Edara J., (2023) Review of Task Scheduling based on Different Parameters in Cloud Environments, IDCIoT 2023 – International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings.
14. Trinishia A.J., Asha S., (2023) Computer Vision Technique to Detect Accidents, Smart Innovation, Systems and Technologies.
15. Gajendran S.; Arunarani A.; Manjula D.; Sugumaran V., (2023) Text to Image Synthesis Using Bridge Generative Adversarial Network and Char CNN Model, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
16. Afiya S.; Rajesh M., (2023) Embedding (K9-C9)n into Certain Necklace Graphs, Lecture Notes in Electrical Engineering.
17. Rakshana B.S.; Anahitaa R.; Rao U.S.; Ragala R., (2023) Simulation, Perception, and Prediction of the Spread of COVID – 19 on Cellular Automata Models: A Survey, Lecture Notes in Networks and Systems.
18. Dhanalakshmi R.; Thenmozhi M.; Saxena S.; Mahalingam H., (2023) Convolutional Neural Network Model based Deep Learning Approach for Osteoporosis Fracture Detection, Proceedings of the 1st IEEE International Conference on Networking and Communications.
19. Sai G.H.; Tyagi A.K.; Sreenath N., (2023) Biometric Security in Internet of Things Based System against Identity Theft Attacks, 2023 International Conference on Computer Communication and Informatics.
20. Mohan A.; Singh R.K.; Tyagi A.K., (2023) Analysis and Prediction of Apple’s iphone Sales and Factors Causing Downfall using Deep Learning Techniques, 2023 International Conference on Computer Communication and Informatics.
21. Hazarika S.; Senthil Kumar A.M., (2023) A Novel Query Based Summerizer Model of Product Reviews Using Modified LDA, Proceedings of the 1st IEEE International Conference on Networking and Communications.
22. Dhanalakshmi R.; Kumar V.V.; Basha S.; Vijayaraghavan N., (2023) A Logical Investigation of Stock Market Prediction and Analysis using Supervised Machine Learning Algorithm, Proceedings of the 1st IEEE International Conference on Networking and Communications.
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24. Renold A.P., (2023) Survey of Evidence Collection Methods for Internet of Things Forensics, Proceedings of the 1st IEEE International Conference on Networking and Communications 2023.
25. Mathew M.B.; Surya Manjunathan G.; Gokul B.; Mohana Ganesh K.; Sajidha S.A.; Nisha V.M., (2023) Banana Ripeness Identification and Classification Using Hybrid Models with RESNET-50, VGG-16 and Machine Learning Techniques, Lecture Notes in Electrical Engineering.
26. Dhanalakshmi R.; Vijayaraghavan N.; Narasimhan S.; Basha S., (2023) Password Manager with Multi-Factor Authentication, Proceedings of the 1st IEEE International Conference on Networking and Communications 2023.
27. Ray S.; Senthil Kumar A.M., (2023) Prediction and Analysis of Sentiments of Reddit Users towards the Climate Change Crisis, Proceedings of the 1st IEEE International Conference on Networking and Communications 2023
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30. Quadir M.A.; Bhardwaj S.; Verma N.; Sivaraman A.K.; Tee K.F., (2023) IoT-Based Mental Health Monitoring System Using Machine Learning Stress Prediction Algorithm in Real-Time Application, Lecture Notes in Electrical Engineering.
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33. Amutha S.; Joyal Isac S.; Niha K.; Dharani M.K., (2023) Machine Learning Model for Brain Stock PredictionLecture Notes in Networks and Systems.
34.  Priya B.L.; Jayalakshmy S.; Saraswath D., Gammatone Visualization based Cough Sound Classification: Performance Comparison with Delta and Delta-Delta Features, 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing.
35. Nair M.M.; Fernandez T.F.; Tyagi A.K., (2023) Cyberbullying in Digital Era: History, Trends, Limitations, Recommended Solutions for Future, 2023 International Conference on Computer Communication and Informatics, ICCCI 2023.
36. Ravikumar S.; Vijay K.; Pavithra S.; Prithi S.; Kannan S., (2023) Prediction of Rental Demands using different Machine Learning Algorithms, 2023 International Conference on Computer Communication and Informatics, ICCCI 2023.
37. Srivastava K.; Pandey T.N.; Roy D.; Sahoo S., (2023) A Machine Learning Model on Healthcare Based Chatbot and Appointment System, 2023 3rd International Conference on Artificial Intelligence and Signal Processing, AISP 2023.
38. Suguna M.; Alphonse S.; Sheik Abdullah A.; Omkumar C.U.; Prakash D., (2023) Object Detection with Voice Feedback for Blind People Using Computer Vision, Smart Innovation, Systems and Technologies.
39. Gupta B.; Sreelatha P.; Shanmathi M.; Philip Bhimavarapu J.; John Augustine P.; Sathyarajasekaran K., (2023) A Smart Handling of Bio-Medical Waste and its Segregation with Intelligant Machine Learning Model, 2023 International Conference on Disruptive Technologies, ICDT 2023.
40. Usharani S.; Gayathri; Rajarajeswari S.; Kishore D.S.; Depuru S., (2023) IoT based Animal Trespass Identification and Prevention System for Smart Agriculture, Proceedings of the 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023.
41. Rai S.; Sajidha S.A.; Nisha V.M.; Mahalakshmi B., (2023) Using Machine Learning to Detect Botnets in Network Traffic, Springer Proceedings in Mathematics and Statistics.
42. Raja Sree T.; Mary Shamala L., (2023) Block Chain-Based Voting System, 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2023.
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46. Pulast A, S Asha (2023), Baggage Recognition and Collection at Airports, Smart Innovation, Systems and Technologies Melarkode N.V., Agarwal V.N., Kanshi A., Lal A.M. (2023), Secure Wireless Smart Car Door Unlocking System, Lecture Notes in Networks and Systems
47. Kishore G.T.T., Manoj A., Sidharth G., Vasra T.R.A., Abdullah A.S., Selvakumar S. (2023), Sentiment Analysis of User Groups in an Working Environment Using CNN for Streaming Data Analysis, Lecture Notes in Networks and Systems
48. Sharma D., Tyagi A.K (2023), Preserving Privacy in Internet of Things (IoT)-Based Devices, Lecture Notes in Networks and Systems
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52. Raghav Srinivaas M., Shah K., Abhishek B., Jagadeesh Kannan R., Balasundaram A. (2023), Detection of COVID-19 Using CNN and ML Algorithms, Smart Innovation, Systems and Technologies
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63.  Ahmed P.A., Gantayat P., Jay S., Satvik V.S., Raju J.K., Balasundaram A., (2023), Diagnosis of COVID-19 Using Artificial Intelligence Techniques, Smart Innovation, Systems and Technologies.
64. Dhanalakshmi R., Sankar S., Srinidhi V., Srividya K.,  (2023), Design of Web-Based Agile Meeting Dashboard, Lecture Notes in Electrical Engineering.
65. Magesh M., Menon H.S., Geetha S., (2023), COVIDEffiNet: Pulmonary Diseases and COVID-19 Detection from Chest Radiographs Using EfficientNet Deep Learning Model, Lecture Notes in Electrical Engineering.
66.  Balakrishnan Y., Renjith P.N., Balakrishnan Y., Renjith P.N, (2023), An analysis on Keylogger Attack and Detection based on Machine Learning.
67.  Nair M.M., Sai G.H., Pattabiraman V., Sriraman H., (2023), The COVID’19 Dashboard with Implementation of Face Mask Detection and Social Distancing Detection Algorithm, Proceedings of 2023 International Conference on Intelligent Systems, Advanced Computing and Communication.
68.  Pradeep K., Sharma K., Edara J., (2023), Review of Task Scheduling based on Different Parameters in Cloud Environments, IDCIoT 2023 – International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings.
69.  Sathya R., Saleena B., Prakash B., (2023), Pothole Detection Using YOLOv3 Model, IEEE International Students’ Conference on Electrical, Electronics and Computer Science.
70.  Raghav Srinivaas M., Shah K., Abhishek B., Jagadeesh Kannan R., Balasundaram A., (2023), Detection of COVID-19 Using CNN and ML Algorithms, Smart Innovation, Systems and Technologies.
71.  Sathya R., Saleena B., Anirudh N.N., (2023), An Analytical Study of Various Pothole Detection and Prevention Techniques, 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science.
72. Chauhan T., Renjith P.N., (2023), Intelligent transformation of 6G network by incorporating Expert Systems, 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2023.
73. Trinishia A.J., Asha S., (2023), Computer Vision Technique to Detect Accidents, Smart Innovation, Systems and Technologies.
74. Ravikumar A., Sriraman H., Lokesh S., Maruthi Sai Saketh P., (2023), Identifying Pitfalls and Solutions in Parallelizing Long Short-Term Memory Network on Graphical Processing Unit by Comparing with Tensor Processing Unit Parallelism, Lecture Notes in Networks and Systems.
75. Priya K.P.S., Hemadharshini J., Sona S., Suganya R., Buhari S.M., (2023), Computational Drug Discovery Using Minimal Inhibitory Concentration Analysis with Bacterial DNA Snippets, Lecture Notes in Networks and Systems.
76. Nazeer S., Yayavaram P., Anbarasi L.J., (2023), Advanced Algorithmic Techniques for Topic Prediction and Recommendation?An Analysis, Lecture Notes in Electrical Engineering.
77. Anandan P., Kumar A.M.S., Vignesh C.C., Kokila S., (2023), Machine Learning Solution for Police Functions, IDCIoT 2023 – International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings.
78. Rajaboina N.B., Prasad Sariki T., Kumar G.B., (2023), An Empirical Review for Character Recognition in Video Frames using Text Detection Algorithms, Proceedings of the 13th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2023.
79. Kishore G.T.T., Manoj A., Sidharth G., Vasra T.R.A., Abdullah A.S., Selvakumar S., (2023), Sentiment Analysis of User Groups in an Working Environment Using CNN for Streaming Data Analysis, Lecture Notes in Networks and Systems.
80. Karn I., Manikandan S.T., Abdullah A.S., (2023), Disseminating the Process of Hurricane Path Prediction using Multilayer Perceptron and Support Vector Machine upon Varied Kernel Functions, International Conference for Advancement in Technology.
81. Chowdhury A., Swaminathan A., Ashoka R.R., Pal A., (2023), Enabling Edge Devices Using Federated Learning and Big Data for Proactive Decisions Communications in Computer and Information Science.
82. Pratik R., Sendhil R., (2023), Privacy Protection Against Reverse Image Search, Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy.
83. Asha S., Usharani S., Ola S., (2023), Evaluation of Deep Learning Approaches for Lung Pneumonia Classification, Lecture Notes in Electrical Engineering
84. Purni J.S.T., Vedhapriyavadhana R., Jayalakshmi S.L., Girija R., (2023), High Performance Classifier for Brain Tumor Detection Using Capsule Neural Network, Lecture Notes in Electrical Engineering
85. Srivastava S., Anshu, Bansal R., Soni G., Tyagi A.K., (2023), Blockchain Enabled Internet of Things: Current Scenario and Open Challenges for Future, Lecture Notes in Networks and Systems.
86. Roy S., Saxena E., Quadir Md A., (2023), Minimizing Latency While Transferring IoT Data to Cloud Using Gap Optimization Algorithm, Lecture Notes in Electrical Engineering.
87. Verma B., Yudheksha G.K., Sanjana Reddy P., Maheswari R., Parvathi R., Vignesh U., (2023), An Intelligent Flood Automation System Using IoT and Machine Learning, Advances in Transdisciplinary Engineering.
88. Lavanya J.M.S., Subbulakshmi P., (2023), Machine Learning Techniques for the Prediction of Non-Communicable Diseases, Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering.
89. Jothi A.M., Satapathy S.K., Mishra S., (2023), A Comparative Analysis of Various Methods for Attendance Framework Based on Real-Time Face Recognition Technology, Lecture Notes in Networks and Systems.
90.  Devi T., Ganesan R., Deepa N., Jaisharma K., (2023), Towards Improving the Packet Delivery Ratio in Mobile Ad Hoc Networks Using DSDV Protocol and Cuckoo Search Algorithm, Lecture Notes in Electrical Engineering.
91.  Pradeep K.V., Gowrishankar K., Sivanantham E., Rao K.S., Kiran N., Vimal A., (2023), Detection of Early Fault in Power Electronic Converters through Machine Learning and Data Mining Techniques, Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy.
92.  Kathiravan M., Logeshwari R., Pavithra S., Meenakshi M., Sathya Durga V., Vijayakumar M., (2023), A Cloud based Improved File Handling and Duplicate Removal using MD5, Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy.
93.  Ahmed P.A., Gantayat P., Jay S., Satvik V.S., Raju J.K., Balasundaram A., (2023), Diagnosis of COVID-19 Using Artificial Intelligence Techniques, Smart Innovation, Systems and Technologies.
94. Dhanalakshmi R., Sankar S., Srinidhi V., Srividya K.,  (2023), Design of Web-Based Agile Meeting Dashboard, Lecture Notes in Electrical Engineering.
95. Magesh M., Menon H.S., Geetha S., (2023), COVIDEffiNet: Pulmonary Diseases and COVID-19 Detection from Chest Radiographs Using EfficientNet Deep Learning Model, Lecture Notes in Electrical Engineering.
96. Balakrishnan Y., Renjith P.N., Balakrishnan Y., Renjith P.N, (2023), An analysis on Keylogger Attack and Detection based on Machine Learning.
97. Nair M.M., Sai G.H., Pattabiraman V., Sriraman H., (2023), The COVID’19 Dashboard with Implementation of Face Mask Detection and Social Distancing Detection Algorithm, Proceedings of 2023 International Conference on Intelligent Systems, Advanced Computing and Communication.
98. Pradeep K., Sharma K., Edara J., (2023), Review of Task Scheduling based on Different Parameters in Cloud Environments, IDCIoT 2023 – International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings.
99. Sathya R., Saleena B., Prakash B., (2023), Pothole Detection Using YOLOv3 Model, IEEE International Students’ Conference on Electrical, Electronics and Computer Science.
100. Raghav Srinivaas M., Shah K., Abhishek B., Jagadeesh Kannan R., Balasundaram A., (2023), Detection of COVID-19 Using CNN and ML Algorithms, Smart Innovation, Systems and Technologies.
101. Sathya R., Saleena B., Anirudh N.N., (2023), An Analytical Study of Various Pothole Detection and Prevention Techniques, 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science.
102. Chauhan T., Renjith P.N., (2023), Intelligent transformation of 6G network by incorporating Expert Systems, 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2023.
103. Trinishia A.J., Asha S., (2023), Computer Vision Technique to Detect Accidents, Smart Innovation, Systems and Technologies.
104. Ravikumar A., Sriraman H., Lokesh S., Maruthi Sai Saketh P., (2023), Identifying Pitfalls and Solutions in Parallelizing Long Short-Term Memory Network on Graphical Processing Unit by Comparing with Tensor Processing Unit Parallelism, Lecture Notes in Networks and Systems.
105. Priya K.P.S., Hemadharshini J., Sona S., Suganya R., Buhari S.M., (2023), Computational Drug Discovery Using Minimal Inhibitory Concentration Analysis with Bacterial DNA Snippets, Lecture Notes in Networks and Systems.
106. Nazeer S., Yayavaram P., Anbarasi L.J., (2023), Advanced Algorithmic Techniques for Topic Prediction and Recommendation?An Analysis, Lecture Notes in Electrical Engineering.
107. Anandan P., Kumar A.M.S., Vignesh C.C., Kokila S., (2023), Machine Learning Solution for Police Functions, IDCIoT 2023 – International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings.
108. Rajaboina N.B., Prasad Sariki T., Kumar G.B., (2023), An Empirical Review for Character Recognition in Video Frames using Text Detection Algorithms, Proceedings of the 13th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2023.
109. Kishore G.T.T., Manoj A., Sidharth G., Vasra T.R.A., Abdullah A.S., Selvakumar S., (2023), Sentiment Analysis of User Groups in an Working Environment Using CNN for Streaming Data Analysis, Lecture Notes in Networks and Systems.
110. Karn I., Manikandan S.T., Abdullah A.S., (2023), Disseminating the Process of Hurricane Path Prediction using Multilayer Perceptron and Support Vector Machine upon Varied Kernel Functions, International Conference for Advancement in Technology.
111. Chowdhury A., Swaminathan A., Ashoka R.R., Pal A., (2023), Enabling Edge Devices Using Federated Learning and Big Data for Proactive Decisions Communications in Computer and Information Science.
112. Pratik R., Sendhil R., (2023), Privacy Protection Against Reverse Image Search, Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy.
113.  Agrawal S., Chandhok A., Maheswari S., Sasikumar P., (2023) Smart Classroom: A Step Toward Digitization, Lecture Notes in Networks and Systems
114. Raghav Srinivaas M., Shah K., Abhishek B., Jagadeesh Kannan R., Balasundaram A.(2023) Detection of COVID-19 Using CNN and ML Algorithms, Smart Innovation, Systems and Technologies.
115. Vinod B., Senthil Kumar A.M.(2023) Handwritten Signature Identification and Fraud Detection using Deep Learning and Computer Vision, 2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 – Proceedings.
116. Bajaj S., Bala M., Angurala M. (2023) Comparative Analysis of Different Types of WSN, Proceedings of the 17th INDIACom; 2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023.
117. Ravimaram S., Jerald Nirmal Kumar S., Sathish A., Vatchala S., Rawat R., Michael Raj T.F., (2023) Robust Transfer Learning Based Modelling for Accelerating the Learning of Ai in the Field of NLP, 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023.
118. Pradeep K., Sharma K., Edara J., (2023) Review of Task Scheduling based on Different Parameters in Cloud Environments, IDCIoT 2023 – International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings.
119. Shunmughavel V., Jeevanantham V., Srinivasan D., Premkumar M., Nivethika S.D., Ashokkumar N., (2023) A Concept-based Ontology Mapping Method for Effective Retrieval of Bio-Medical Documents, 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023.
120. Pabbi V., Khullar V., Angurala M., (2023) Efficient Skin Lesion based Classification System for Monkeypox Detection using VGG16 and Ensemble Learning, Proceedings of the 17th INDIACom; 2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023.
121. Anitha C., Rajkumar S., Dhanalakshmi R., (2023) An Effective Heart Disease Prediction Method using Extreme Gradient Boosting Algorithm Compared with Convolutional Neural Networks, 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023
122. Thalanki V., Akshayaa R.N., Krithika R., Jothi R., (2023) Voice-based Image Captioning using Inception-V3 Transfer Learning Model, 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 – Proceedings.
123. Pabbi V., Khullar V., Angurala M., (2023) Efficient Skin Lesion based Classification System for Monkeypox Detection using VGG16 and Ensemble Learning, Proceedings of the 17th INDIACom; 2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023,
124. Parvathi R., Choudhary A., Jain P., Kajave O., (2023) Vehicle Efficiency Prediction using Machine Learning Algorithms, Proceedings – 2023 3rd International Conference on Smart Data Intelligence, ICSMDI 2023.
125. Prajapati P.K., Singh I., Subhashini N., (2023) Network Intrusion Detection Using Machine Learning, Lecture Notes in Electrical Engineering.
126. Gomathi L., Mishra A.K., Tyagi A.K., (2023) Industry 5.0 for Healthcare 5.0: Opportunities, Challenges and Future Research Possibilities, 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 – Proceedings.
127. Ramkumar B.N., Jayalakshmi S.L., Vedhapriyavadhana R., Girija R., (2023) Disability Assistance System Using Speech and Facial Gestures, Lecture Notes in Electrical Engineering.
128. Kathiravan M., Logeshwari R., Pavithra S., Meenakshi M., Sathya Durga V., Vijayakumar M., (2023) A Cloud based Improved File Handling and Duplicate Removal using MD5, Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023.
129. Karn I., Manikandan S.T., Abdullah A.S., (2023) Disseminating the Process of Hurricane Path Prediction using Multilayer Perceptron and Support Vector Machine upon Varied Kernel Functions, 2023 International Conference for Advancement in Technology, ICONAT 2023.
130. Divya S., Suganeshwari G., (2023) Blockchain-Based Higher Educational Data Management: Enhanced Architecture for Data Security, Lecture Notes in Networks and Systems.
131. Anupriya S.R.; Muthumanikandan V., (2023) A Survey on Exploring the Effectiveness of IOT Based Home Security Systems, 2023 International Conference on Computer Communication and Informatics, ICCCI 2023.
132. Sharon F.; Asnath Victy Phamila Y.; Geetha S., (2023) IoT Framework for Real Time Weather Monitoring using Machine Learning Techniques, 2023 2nd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023
133. Topale N.R.; Usharani S.; Gayathri; Rajarajeswari S.; Depuru S.; Shola S.P., AnuVidya (2023) Anesthesia Monitoring system for EEG Signals using AlexNet Model, 2023 2nd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023.
134. Khullar V.; Chhabra R.; Angurala M.; Veeramanickam M.R.M.; Singh K.; Lamba V., (2023) Indian National Stock Exchange Crude Oil (CL=F) Close Price Forecasting Using LSTM and Bi-LSTM Multivariate Deep Learning Approaches, Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2023.
135. Suhas Reddy P.; Madhalam D.S.; Kundeti P.K., (2023) Named Entity Recognition using Multiple Smaller LSTM in Parallel Recurrent Neural Networks, Proceedings of 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2023
136. Joshua Alfred J.; Sai Srivathsan V.; Sasithradevi A.; Mohamed Mansoor Roomi S. (2023) MedSay-Tamil: A Pharmacological-Translator Mobile Application for the aid of Native Tamil Speakers, Proceedings of 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2023.
137. Jagati A.; Subbulakshmi T., Building ML (2023) Workflow for Malware Images Classification using Machine Learning Services in Leading Cloud Platforms, Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2023.
138. Krishnamurthy V.; Jafrin Rosary B.; Oliver Joel G.; Balasubramanian S.; Kumari S.(2023) Voice command-integrated AR-based E-commerce Application for Automobiles, Proceedings of 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2023.
139. Sahu S.L.; Chintala Bhargavi R., (2023) Prediction of Diseases in Potato Plant using Pre-trained and Traditional Machine Learning Models, 2023 4th International Conference for Emerging Technology, INCET 2023.
140. Arunkumar K.; Leninisha S., (2023) An effective identification between various plant species using shape descriptors and image processing technique, Proceedings of International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2023.
141. Suhas Reddy P.; Anala J.; Krishnamurthy V.; Balasubramanian S.; Sujithra Kanmani R., (2023) Performance Improvement of Model View Controller based Applications through Linda’s-Key, Proceedings of International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2023.
142. Damodaran S.; Shanmugam L.; Swaroopan N.M.J.(2023) Extraction of Overhead Transmission Towers from UAV Images, 5th International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023.
143. Jawahar M.; Neeraja R.; Anbarasi L.J.; Raj B.E., (2023) Fissura_Net: An Enhanced Crack Detection and Prediction Network, 2023 9th International Conference on Information Technology Trends, ITT 2023.
144. Dhanalakshmi R.; Kumar V.V.; Basha S.; Vijayaraghavan N., (2023) A Logical Investigation of Stock Market Prediction and Analysis using Supervised Machine Learning Algorithm, Proceedings of the 1st IEEE International Conference on Networking and Communications, ICNWC 2023.
145. Naidu R.; Vedhapriyavadhana R.,(2023) Advanced Traffic Sign and Lane Discernment, 4th International Conference for Emerging Technology, INCET 2023.
146. Roomi S.M.M.; Suvetha S.; Maheswari P.U.; Suganya R.; Priya K. (2023) Radon Feature Based Osteoarthritis Severity Assessment, Proceedings of 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2023.
147. Thalanki V., Akshayaa R.N., Krithika R., Jothi R. (2023) Voice-based Image Captioning using Inception-V3 Transfer Learning Model, 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 – Proceedings.
148. T. S. Prajwal, A. K. Ilavarasi, (2023) A Comparative Study of RESNET-Pretrained Models for Computer Vision, ACM International Conference Proceeding Series.
149. Sheik Abdullah, D. Rajasekar, A. Rahul, (2023) A Machine Learning Approach for the Identification and Estimation of Pulsars upon Statistical Analysis, International Conference on Network, Multimedia and Information Technology, NMITCON 2023.
150. Sumathi, T. Prasath, K. Anusha K, E. Prema, R. Jegadeeshwaran, M. A. Senthilkumar, (2023) A novel method for noise elimination in ECG signals, AIP Conference Proceedings.
151. R. Rishub, S. V. Harini, R. A. A. Khan, N. Sudhersan, M. Vanmathi, M. Ismail M. S. Kumar, (2023) Blind assist navigation system using distance estimation in webcam, AIP Conference Proceedings.
152. Gomathi, A. K. Mishra, A. K. Tyagi, (2023) Blockchain and Machine Learning Empowered Internet of Things Applications: Current Issues, Challenges and Future Research Opportunities, Proceedings of the 4^th International Conference on Smart Electronics and Communication, ICOSEC-2023.
153. V. Panjwani, Y. Asnath Victy Phamila, (2023) Candidate Prioritization Using Automated Behavioural Interview with Deep Learning, Advances in Science and Technology.
154. Chakraborty, S. Tyagi, S. Shridevi, (2023) Comparative analysis of deep learning models for bird song classification, AIP Conference Proceedings.
155. Sultania, V. Sakthivel V, (2023) Cypher: A New Innovative Application-Level Internet Protocol, Proceedings 3^rd International Conference on Pervasive Computing and Social Networking.
156. Mahadevi, M. Marimuthu, I.G.A. Poornima, K. Vijayalakshmi, D. Vidyabharathi G.S. Priya, (2023) Deep Learning for the Investigation of Lung and Pancreatic Tumors, 7^th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC-2023.
157. Chellappa, R.K. Baskaran, (2023) Dehaze information removal using deep learning framework, AIP Conference Proceedings, Vol. 2797(1). DOI: 10.1063/5.0149962.
158. Natesan, R. Jegadeeshwaran, G. Sakthivel, V. Arunkumar, (2023) Design and analysis of robot and fixture pedestal for OTC FD-V8 MAG welding robot, Journal of Physics: Conference Series.
159. A.S. Abdullah, P.K. Sai Kailash, D. Ramesh, P. Guntha, (2023) Evaluating Employee Attrition And Its Factors Using Machine Learning Approaches, International Conference on Network, Multimedia and Information Technology, NMITCON-2023.
160. M.M. Nair, A.K. Mishra, A.K. Tyagi, (2023) Fog Computing and Edge Computing: Open Issues, Critical Challenges and the Road Ahead for Future, ACM International Conference Proceeding Series.
161. Usharani, G. Rajakumaran, A.D. Nandam, M. Ibrahim, (2023) Integration Framework Solution for Healthcare Monitoring, Journal of Physics: Conference Series.
162. D.C. Beri D.C, B.V.A.N.S.S.P. Rao, (2023) Intelligent plant disease detection system, AIP Conference Proceedings.
163. P.R. Mishra, A.K. Ilavarasi, (2023) Intracranial Haemorrhage Detection Based on Deep Learning Using CT Images, ACM International Conference Proceeding Series.
164. D.O. Do Rosario Lourenco, M.V.H. Sai Sriraj, K.K. Thambi, V. Ranjan, (2023) Malicious URLs and QR Code Classification Using Machine Learning and Deep Learning Techniques, 3^rd Asian Conference on Innovation in Technology, ASIANCON 2023.
165. V.S. Salgarkar, A.K. Ilavarasi, (2023) Multi-Class Breast Cancer Classification from Digital Mammograms Using Vision Transformers, ACM International Conference Proceeding Series.
166. Balamurugan, V. Arulalan, V. Premanand, (2023) Object Detection Using a YOLOv4 Model in Video Surveillance, Proceedings of the 4^th International Conference on Smart Electronics and Communication, ICOSEC-2023.
167. Shreeya, R.H. Ray R.H, R. Parvathi, (2023) Predicting fake news: Analyzing the reference network structure of news articles, AIP Conference Proceedings.
168. Balasubramaniam, R.K. Singh, A.K. Tyagi, (2023) Self-Driving Car Simulation Using Reinforcement Learning and Xception Model Tuning, Proceedings of the 4^th International Conference on Smart Electronics and Communication, ICOSEC-2023.
169. Rajakumaran, S. Usharani, C. Vincent, M. Sujatha, Smart Waste Management: Waste Segregation using Machine Learning, Journal of Physics: Conference Series.

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27. Sai G.H., Nair M.M., Vani V., Shivani, INTELLIBOT – Intelligent Voice Assisted Chatbot with Sentiment Analysis, Communications in Computer and Information Science, Communications in Computer and Information Science,
28. Blesslin Sheeba T., Manimegalai T., Ananthi S., Kamatchi S., Anitha G., Muthuraman U, SVM: Adaboost with SVM-based Classifier Implementation for Aspect-based Opinion Mining to Appraise Products, 5th International Conference on Inventive Computation Technologies, ICICT 2022, Springer
29. Anusha K., Nachiyappan S., Braveen M., Pradeep K.V., Yarlagadda S.R., A Simple Number Plate Detection Technique with Support Vector Machine for On-Road Vehicles, 2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future,  PECCON 2022, Springer
30. Jaisakthi S.M., Dhanya P.R., Social Media Flood Image Classification Using Transfer Learning with EfficientNet Variants, Lecture Notes in Networks and Systems, , Springer
31. Manimegalai, T. N. Ravishankar, L. Kannagi, K. Kannan and G. Anitha, A Novel approach for Data mining Classification using J48DT Classifier for Intrusion detection, 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), 2022
32. Satheeswari D., Shanmugam L., Swaroopan N.M.J., Venkatachalam N, Mask R-CNN based Object Detection in Overhead Transmission Line from UAV Images, Lecture Notes in Networks and Systems, Springer
33. Singh R.K., Rao B.V.A.N.S.P., Sivabalakrishnan M., Pidugu M.S., Intelligent System for Diagnosis of Herbs Disease Using Deep Learning, IFIP Advances in Information and Communication Technology, IFIP Advances in Information and Communication Technology, Springer
34. Tyagi A.K., Chandrasekaran S., Sreenath N, Blockchain Technology:- A New Technology for Creating Distributed and Trusted Computing Environment, Proceedings – International Conference on Applied Artificial Intelligence and Computing,  ICAAIC 2022, Springer
35. Rosaline S., Nasreen M.A., Suganthi P., Manimegalai T., Ramkumar G., Predicting Melancholy risk among IT professionals using Modified Deep Learning Neural Network (MDLNN), Proceedings – 2022 IEEE 11th International Conference on Communication Systems and Network Technologies,  CSNT 2022, IEEE
36. Manimegalai T., Manju J., Rubiston M.M., Vidhyashree B., Prabu R.T, Prediction of OPTIMIZED Stock Market Trends using Hybrid Approach Based on KNN and Bagging Classifier (KNNB), Proceedings – 2022 IEEE 11th International Conference on Communication Systems and Network Technologies,  CSNT 2022, IEEE
37. Ganguly P., Parihar G., Sivagami M., Real-Time Big Data Analysis Using Web Scraping in Apache Spark Environment: Case Study Mobile Data Analysis from Flipkart, ,  Lecture Notes in Electrical Engineering, Springer
38. Abhishek B., Tyagi A.K, An Useful Survey on Supervised Machine Learning Algorithms: Comparisons and Classifications,  Lecture Notes in Electrical Engineering,  Lecture Notes in Electrical Engineering,
39. Christy Jackson J., Narendra G.O., Sathish S., Maheysh V., Boovaraghavan A., Srinivasan M., Hashwanth S, Opinion Mining Models for Learner Feedback on Massive Open Online Courses,  Proceedings of the 2022 International Conference on Electronic Systems and Intelligent Computing,  ICESIC 2022, Springer
40. Basu A., Kiliroor C.C., Basu R., Nag R., Fake News Predictor: A Random Forest-Based Web Application for the Prediction of Fake News on Social Media, Lecture Notes in Electrical Engineering, Lecture Notes in Electrical Engineering,
41. Sheth H.S.K., Ilavarasi K.A., Tyagi A.K., Deep Learning, Blockchain based Multi-layered Authentication and Security Architectures, Proceedings – International Conference on Applied Artificial Intelligence and Computing,  ICAAIC 2022, Springer
42. Sekar K., Tyagi A.K, Study of Data Behaviour and Methods for Data Prediction and Analysis,  Proceedings – 2022 6th International Conference on Intelligent Computing and Control Systems,  ICICCS 2022, Springer
43. Nair M.M., Tyagi A.K., Preserving Privacy Using Blockchain Technology in Autonomous Vehicles, Lecture Notes in Networks and Systems, Lecture Notes in Networks and Systems, Springer
44. Jayaprakash V., Tyagi A.K, Security Optimization of Resource-Constrained Internet of Healthcare Things (IoHT) Devices Using Asymmetric Cryptography for Blockchain Network, Lecture Notes in Networks and Systems, Lecture Notes in Networks and Systems, Springer
45. Mindarta E.K., Kavitha D., Poongundran M., Priyadarshini R., Sethu Ram M., Moldabayeva M, IoT In Increasing Human to Machine Interactions in the Automobile Sector, Proceedings – International Conference on Applied Artificial Intelligence and Computing,  ICAAIC 2022, IEEE
46. Pradeep K., Pravakar D, Exploration on Task Scheduling using Optimization Algorithm in Cloud computing, 2022 6th International Conference on Trends in Electronics and Informatics,  ICOEI 2022 , IEEE
47. Sathish S., Pavithra L.K., Subbulakshmi P, Envision of Solar System using Augmented Reality, 2022 1st International Conference on Electrical, Electronics, Information and Communication Technologies,,  ICEEICT 2022, Springer
48. Addanke S., Krishna M.V., Pradeep K.V., Jayant K.P., Ilyassova K., Sainath K.L., Machine Learning on the Role of Eliminating Human Error on the Manufacturing Industry, 2022 6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 , IEEE
49. Santoshi G, Mobile Sensor Nodes Traversal Patterns to?Attend Random Events, Lecture Notes in Electrical Engineering, Lecture Notes in Electrical Engineering, Springer
50. Vasiyani P., Prakash P., Sakthivel V, A Comparative Study of Students Online Learning During Pandemic Using Machine Learning Model,  Lecture Notes in Electrical Engineering,  Lecture Notes in Electrical Engineering, Springer
51. Prakash P., Sakthivel V, Efficient Node Placement Approach in Fog Computing Environment Using Machine Learning Model, Lecture Notes in Electrical Engineering, Lecture Notes in Electrical Engineering, Springer
52. Sharen H.G., Rajalakshmi R, DLRG@LT-EDI-ACL2022:Detecting signs of Depression from Social Media using XGBoost Method, LTEDI 2022 – 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop, ACL
53. Muthumanikandan V., Singh P., Chithreddy R., Cloud-Based Face and Face Mask Detection System, Smart Innovation, Systems and Technologies, Smart Innovation, Systems and Technologies, Springer
54. Duraphe A., Rajalakshmi R., Shibani A., DLRG@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil using Multilingual Transformer Models, DravidianLangTech 2022 – 2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop, ACL
55. Nuthakki P., Manju J., Geetha R., Suguna M., Sheik Abdullah A.S, A Smart wearable motion sensor and acoustic signal processing based on vocabulary for monitoring children’s wellbeing using Big Data, International Conference on Advanced Computing Technologies and Applications,  ICACTA 2022, Springer
56. Suganya G., Naik I., Jagati A., Fating H., Premalatha M., An Effective Decision Support System for Travel in COVID’19 Pandemic using Fuzzy Rules and Intelligent Algorithms, 2022 International Conference on Advanced Computing Technologies and Applications,  ICACTA 2022, Springer
57. Pavaiyarkarasi R., Manimegalai T., Satheeshkumar S., Dhivya K., Ramkumar G., A Productive Feature Selection Criterion for Bot-IoT Recognition based on Random Forest Algorithm,  Proceedings – 2022 IEEE 11th International Conference on Communication Systems and Network Technologies, CSNT 2022,, IEEE
58. Sri Suvetha C.S., Subiksha S., Suguna M, Automatic Traffic Sign Detection System with Voice Assistant, 2022 International Conference on Advanced Computing Technologies and Applications,  ICACTA 2022, IEEE
59. Manimegalai T., Ravishankar T.N., Kannagi L., Kannan K., Anitha G, A Novel approach for Data mining Classification using J48DT Classifier for Intrusion Detection System, Proceedings – 2022 IEEE 11th International Conference on Communication Systems and Network Technologies,  CSNT 2022, IEEE
60. Sheeba A., Maheswari B.U., Sam D., Jenipher V.N., Rajarajeswari S., A Patient-Centered Secured Approach to E-Health, 2022 International Conference on Computer Communication and Informatics,  ICCCI 2022, Springer
61. George T.T., Tyagi A.K, Reliable Edge Computing Architectures for Crowd sensing Applications, 2022 International Conference on Computer Communication and Informatics, ICCCI 2022, IEEE
62. Deshmukh A., Sreenath N., Tyagi A.K., Jathar S, Internet of Things Based Smart Environment: Threat Analysis, Open Issues, and a Way Forward to Future, 2022 International Conference on Computer Communication and Informatics, ICCCI 2022, IEEE
63. Vishnuram G., Tripathi K., Tyagi A.K, Ethical Hacking: Importance, Controversies and Scope in the Future, 2022 International Conference on Computer Communication and Informatics, ICCCI 2022,, IEEE
64. Parkavi R., Karthikeyan P., Abdullah A.S, Collaborative Learning : A Case Study on Information Security and Auditing Management Course, 2022 International Conference for Advancement in Technology, ICONAT 2022, IEEE
65. Agrawal D., Bansal R., Fernandez T.F., Tyagi A.K, Blockchain Integrated Machine Learning for Training Autonomous Cars,  Lecture Notes in Networks and Systems,  Lecture Notes in Networks and Systems, Springer
66. Sheth H.S.K., Tyagi A.K, Mobile Cloud Computing: Issues, Applications and Scope in COVID-19, Mobile Cloud Computing: Issues, Applications and Scope in COVID-19Mobile Cloud Computing: Issues, Applications and Scope in COVID-19, Sheth H.S.K., Tyagi A.K., Lecture Notes in Networks and Systems, Vol:418 LNNS, Pg.No:(587-600), DOI: 10.1007/978-3-030-96308-8_55, Mobile Cloud Computing: Issues, Applications and Scope in COVID-19, Springer
67. Pandey A.A., Fernandez T.F., Bansal R., Tyagi A.K, Maintaining Scalability in Blockchain,  Lecture Notes in Networks and Systems,,  Lecture Notes in Networks and Systems,, Springer
68. Kumaran V.A., Tyagi A.K., Kumar S.P., Blockchain Technology for Securing Internet of Vehicle: Issues and Challenges, 2022 International Conference on Computer Communication and Informatics,,  ICCCI 2022, IEEE
69. Tyagi A.K., Agarwal D., Sreenath N., SecVT: Securing the Vehicles of Tomorrow using Blockchain Technology, 022 International Conference on Computer Communication and Informatics,,  ICCCI 2022, IEEE
70. Deshmukh A., Sreenath N., Tyagi A.K., Abhichandan U.V.E., Blockchain Enabled Cyber Security: A Comprehensive Survey, 2022 International Conference on Computer Communication and Informatics, ICCCI 2022, IEEE
71. Jothi A.M., Charumathi A., Yuvarani A., Parvathi R, Data Prediction and Analysis of COVID-19 Using Epidemic Models, Lecture Notes in Networks and Systems, Lecture Notes in Networks and Systems, Springer

1. Abdul Quadir Md (2021), Efficient Algorithm for CSP Selection Based on Three Level Architecture, Lecture Notes in Electrical Engineering, Springer, Scopus Index.
2. A. K Ilavarasi (2021), Class imbalance learning for Identity Management in Healthcare, International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 995-1000.
3. Dr. R.Vedhapriyavadhana (2021), Assessment of Open source tools and techniques for network security, The International Conference on Cyber Security and Digital Forensics 2021.
4. Geetha S, Android Malware Detection and Classification using LOFO Feature Selection and Tr, 1st International Conference on Innovative Technology for Sustainable Development ICITSD – 2021, Jan-14, 1573-7721.
5. Parvathi R (2021), Data Prediction and Analysis of Covid-19 using Epidemic models, International Conference on pervasive computing and social Networking.
6. Parvathi R (2021), Prediction of Covid-19 case using weather parameters, International conference on Intelligent Sustainable systems
7. Ms. Pavithra L K (2021), Dominant Color and Uniform Local Binary Pattern Based Image Retrieval, IEEE International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT), 01-May.
8. Harini S (2021), Parallel LU Decomposition Algorithm for Exa-Scale Computing Using Spark Ignite, Springer Lecture Notes in Networks and Systems book series, 166, 227-233.
9. Dr. R.Vedhapriyavadhana (2021), Artificial intelligence to combat the sting of the pandemic on the psychological, ICCS 2021-Advanced Computing Research Society, (IF: 0.34).
10. Dr. R.Vedhapriyavadhana (2021), A Relative Investigation of Various Algorithms for Online Financial Fraud Detect, International Conference on Recent Trends in Computing ICRTCE 2021.
11. Dr. R.Vedhapriyavadhana (2021), Automatic Posture Recognition and Adjustment in Medical Diagnosis to prevent from, International E-Conference on Recent Advances In Computation,Communication,Internet Of Things and Artificial Intelligence.
12. Balasundaram A (2021), Computer vision based fatigue detection using facial parameters, ICRAEM 2020 – IOP Conf. Series: Materials Science and Engineering, 1757-899X.
13. Jani Anbarasi.L (2021), A Machine Learning-Based Multi-feature Extraction Method for Leather Defect Clas, Inventive Computation and Information Technologies: Proceedings of ICICIT 2020, 189-199.
14. Rajalakshmi R (2021), DLRG@DravidianLangTech-EACL2021: Transformer based approach for Offensive Langua, EACL 2021 : Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages, 357-362.
15. Shridevi S (2021), Deep Network for Network Intrusion with Concept Drift, Conference on Inventive Communication and Computational Technologies, 933-940.
16. Shridevi S (2021), Analysis of Semantic and Non-Semantic crawlers, ISIC 2021, 1 -8.
17. Ganapathy S (2021), Online Product Recommendation System Using Multi Scenario Demographic Hybrid (MD), International Conference on Computational Intelligence in Data Science, 248-260.
18. Dr. A. Menaka Pushpa (2021), Survey on Template Engines in Java, International Conference on Innovative Technology for Sustainable Development (ICITSD-2021), 01-May 2021.
19. Dr. A. Menaka Pushpa (2021), Systematic Study on Diagnosis of Lung Disorders using Machine Learning and Deep , 2021 IEEE Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII), 978-1-6654-3100-2.
20. Jani Anbarasi L (2021), Current Trends, Challenges, and Future Prospects for automated detection of Diabetes, IEEE 2021 3rd International Conference on Signal Processing and Communication (ICPSC), 978-1-6654-2864-4.
21. Dr.Jayalakshmi S L (2021), Assessment of open source tools and techniques for network security, The International Conference on Cyber Security and Digital Forensics 2021.
22. Dr.Jayalakshmi S L (2021), Survey on fusion of audiovisual information for multimedia event recognition, ICRTAC_AIT_2021,.
23. Dr.Prakash P (2021), A Hybrid Deep Learning Approach for Predicting the Spread of COVID-19, Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA’20), 193-204.
24. Dr. K. Pradeep (2021), A Review on Task Scheduling using Optimization Algorithm in Clouds, Fifth International Conference on Trends in Electronics and Informatics (ICOEI), 01-Apr, 978-1-6654-1570-5.
25. Cinu C Kiliroor (2021), Coalescing Image Steganography and Cryptography for Information Security, 2nd International Conference on Data Science & Applications (ICDSA 2021).
26. Cinu C Kiliroor (2021), Shadow Detection and Removal Using Dynamic Thresholding Approach for Driverless, 2nd International Conference on Data Science & Applications (ICDSA 2021)
27. Rajesh Kanna B (2021), Machine Learning Technique for Analyzing the Behaviour of Fish in an Aquarium, Modelling, Machine Learning and Astronomy. MMLA 2019, ISBN 978-981-33-6463-9.
28. Harini S (2021), Staleness and Stagglers in Distributed Deep Image Analytics, International Conference on Artificial Intelligence and Smart Systems (ICAIS), 848-852, :978-1-7281-9537-7.
29. Dr.Ashoka Rajan R (2021), A Novel Tree Based Shuffling Technique for Fingerprint Template Security, Fifth International Conference on Trends in Electronics and Informatics (ICOEI), 978-1-6654-1570-5.
30. Amit Kumar Tyagi (2021), P3 Block: Privacy Preserved, Trusted Smart Parking Allotment for Future Vehicles, 20th International Conference ICCSA, Italy.
31. Amit Kumar Tyagi (2021), A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriente, 20th International Conference ICCSA, Italy.
32. Amit Kumar Tyagi (2021), Recent Advancement in Deep Learning: Open Issues, Challenges and A Way to Forwar, IEMIS 2020.
33. Amit Kumar Tyagi (2021), Deep Learning for Medical Image Recognition: Open Issues and A Way to Forward, ICIMMI 2020.
34. Amit Kumar Tyagi (2021), Performance Analysis of Under-sampling Approaches for Solving Customer Churn, ICIMMI 2020.
35. Amit Kumar Tyagi (2021), “Internet of Things, Cyber Physical System and Data Analytics: Open Questions, ICIMMI 2020.
36. Amit Kumar Tyagi (2021), Blockchain and Aadhaar Based Electronic Voting System, ICECA 2020.
37. Amit Kumar Tyagi (2021), A Novel Approach to Predict Chronic Kidney Disease using Machine Learning Algorithm, ICECA 2020.
38. Amit Kumar Tyagi (2021), Intelligent Automation Systems at the Core of Industry 4.0, ISDA 2020.
39. Amit Kumar Tyagi (2021), Role of Text Mining Tools in Disease Prediction, HIS 2020.
40. Amit Kumar Tyagi (2021), The Future with Advanced Analytics: A Sequential Analysis of the Disruptive, HIS 2020.
41. Amit Kumar Tyagi (2021), Prediction of Pesticides and Fertilizers using Machine Learning and Internet, ICCCI 2020.
42. Amit Kumar Tyagi (2021), The Future with Industry 4.0 at the Core of Society 5.0: Open Issues, Future, ICCCI 2020.
43. Amit Kumar Tyagi (2021), Class Imbalanced Data: Open Issues and Future Research Directions, ICCCI 2020.
44. Dr. Sandeep Kumar Satapathy (2021), A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder, Third International Conference on Cognitive Informatics and Soft Computing, 2194-5357/978-981-16-1055-4.
45. Dr. Sandeep Kumar Satapathy (2021), Feature Ranking-Based Prediction of Climatic Parameters for Enhancement of Agriculture , Third International Conference on Cognitive Informatics and Soft Computing, 767-771, 2194-5357/978-981-16-1055-4.
46. Kanchana Devi V (2021), Current Best Opposition-Based Learning Salp Swarm Algorithm for Global Numerical, 2021 Zooming Innovation in Consumer Technologies Conference (ZINC), 05-Oct, E-ISBN:978-1-6654-0417-4, ISBN:978-1-6654-4731-7.
47. Rajesh Kanna B (2021), Parallel FPFH SLAM for Aerial Vehicles, 2021 IEEE Conference on Norbert Wiener in the 21st Century (21CW), 01-Apr.
48. Rajesh Kanna B (2021), Parallel Exploitation of 2D LiDAR Simultaneous Localization and Mapping, 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), 204-208.
49. Jani Anbarasi.L (2021), Evolutionary Computing-Based Feature Selection for Cardiovascular Disease: A Rev, International Virtual Conference on Industry 4.0,47-56, 978-981-16-1244-2.
50. Jani Anbarasi.L (2021), Breast Cancer Detection in Histology Images Using Convolutional Neural Network, International Virtual Conference on Industry 4.0, 87-98, 978-981-16-1244-2.
51. Sudha A (2021), SOSChain: self-optimizing stream chain for last-mile 6G UAV-truck networks, MOBICOM Mobile Computing and Networking, 19-24.
52. Maheswari N (2021), Modified Pre-emptive Priority-Based Round Robin Scheduling Algorithms with Dynamic, International Virtual Conference on Industry 4.0, 235-246, 978-981-16-1244-2.
53. Pattabiraman V (2021), Autoencoder Based Network Anomaly Detection, 2020 IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET), 2020, 01 June 2021, 10.1109/TEMSMET51618.2020.9557464.
54. Dr.Shivani Gupta (2021), Is India ready for technological change in Agriculture: From urban to rural path, AIP conference proceedings.
55. Dr.Jayalakshmi S L (2021), Disability Assistance System Using Speech and Facial Gestures, Virtual International Conference on Futuristic Communication and Network Technologies – 2021.
56. Dr.Jayalakshmi S L (2021), High Performance Classifier for Brain Tumor Detection, ICRTAC_2021.
57. Afaf Athar, Ilavarasi A K, (2021). A Comparative Study of Machine Learning Models for Breast Cancer Prediction. Journal of Physics, 1716. (IF: 1.99)
58. Dhanashri Narayan Wategaonkar, S.V. Nagaraj, (2021). Analysis of QoS Parameters using Prediction Algorithms on CSO based Energy-Efficient Reliable Sectoring Scheme in WSN, ICITSD 2021
59. Parvathi.R , Pattabiraman.V , Ansh Pujara, (2021). Food Demand Forecast For Online Food Delivery Service Using Cat Boost Model. 3^rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing | Coimbatore, India on December 18-19, 2020
60. E. Umamaheswari, Gazal Madan, Chinmayee Das, Shashank Sridhar and DM Ajay, (2021). CODOC: COVID – 19 PATIENT TRACKER. CODOC: COVID – 19 Patient Tracker. 37, 6

1. R. Maheswari, N. Mohana, Tarun A H, Venkat Ragavan S , (2020). SMART PARKING FOR SMART BUILDINGS. Virtual International Conference on AI and ML Applications in Smart Buildings.
2. Dr. Maheswari.R, School of Computer Science and Engineering, VIT Chennai Dr Priyaadharshini M, School of Computer Science and Engineering, VIT Chennai, (2020). Digital Transformation in Higher Education during COVID-19 Pandemic. VIRTUAL INTERNATIONAL INTERDISCIPLINARY CONFERENCE ON DIGITAL LEARNING AND DIVIDE IN EDUCATIONAL EDIFICE: COVID 19 PANDEMIC.
3. Jayabrabu Ramakrishnan, Dinesh Mavaluru, Karthik Srinivasan, Azath Mubarakali, C Narmatha, Malathi G6, (2020). Opinion Mining using Machine Learning Approaches: A Critical Study. International Conference on Computing and Information Technology, University of Tabuk, Kingdom of Saudi Arabia2020. 1(41), 388-391.
4. R. Rajalakshmi, Joel Raymann , Aneesh Prabu , Chandrabose Aravindan, (2019). Deep URL: design of adult URL classifier using deep neural network. International Conference on Advanced Information Science and System. 20(1), 1-15.
5. Amit Kumar Tyagi, Deepti Goyal, (2020). A Survey of Privacy Leakage and Security Vulnerabilities in the Internet. ICCES 2020.
6. Gillala Rekha, V. Krishna Reddy, Amit Kumar Tyagi, Meghna Manoj Nair, (2020). Distance based bootstrap sampling. ic-ETITE 2020. 8.
7. Amit Kumar Tyagi, T Fredrick, Aswathy S U, (2020). Blockchain and Aadhaar Based Electronic Voting System. ICECA 2020. 6.
8. Bhavya Gudeti, Shashvi Mishra, T Fredrick, Amit Kumar Tyagi, Shabnam Kumari, Shaveta Malik, (2020). A Novel Approach to Predict Chronic Kidney Disease using Machine Learning. ICECA 2020. 6.
9. Geeta M, G Rekha, Amit Kumar Tyagi, (2020). Performance Analysis of Under-sampling Approaches for Solving Customer Churn. ICIMMI 2020.10.
10. Sakshi Purwar, (2020). Recent Advancement in Deep Learning: Open Issues, Challenges and A Way.IEMIS 2020.10
11. Sakshi Purwar, Amit Kumar Tyagi, (2020). Recent Advancement in Deep Learning: Open Issues, Challenges and A Way. IEMIS 2020.10.
12. Meghna Manoj Nair, Shabnam Kumari, Amit Kumar Tyagi, (2020). Internet of Things, Cyber Physical System and Data Analytics: Open Questions. ICIMMI 2020. 8.
13. Rajesh Kumar, Geetha S, (2018). Malware Detection Modeling System. 1st IEEE International Conference on Recent Trends in Advanced Computing, ICRTAC-CPS 2018. 1(1), 1-8.
14. Susanth, Jenika Livingston L.M, and Agnel Livingston L.G.X., (2020). Garbage Waste Segregation using Deep Learning Techniques. International Conference on Robotics, Intelligent Automation and Control Technologies. -.
15. S. Geetha, L. Jani Anbarasi, Benson Edwin Raj, Aayush Gupta, Arya Vardhan Prasad, (2020). AR Learning Platform for Mentally Differently Abled Children. 2020 Seventh International Conference on Information Technology Trends (ITT). 25-26 November 2020. 193-197.
16. A Muralidhar, Arunkumar Sivaraman, Rajiv Vincent, Ilakiyaselvan N, Rajesh M, (2020). Machine Learning Based Categorization of Brain Tumor Using Image Processing. INTERNATIONAL (VIRTUAL) CONFERENCE ON RECENT TRENDS IN ADVANCED COMPUTING -2020.
17. Pradeep Kumar Mallick, Sandeep Kumar Satapathy, Shruti Mishra, Amiya Ranjan Panda and Debahuti Mishra, (2020). Feature Selection and Classification for Microarray Data Using ACO-FLANN Framewo. 1st International Conference on Intelligent and Cloud Computing, ICICC 2019. 194, 491-501.
18. Vergin Raja Sarobin, (2020). Identification of Plant Leaf Diseases Using Convolutional Neural Network. CSPCT 2020. 1(1), 56-61.
19. Vaishnavi Battul, Helen Santhi M and Malathi G, (2020). Earthquake data analysis and data visualization of Maharashtra state, India from. IOP Conf. Series: Materials Science and Engineering. 9.
20. R. Rajalakshmi and B. Yashwant Reddy, (2020). DLRG@HASOC 2020: A Hybrid approach for Hate and Offensive Content Identification. Forum for Information Retrieval. 1(1)..
21. AMIT DIVEKAR, SHREY SRIVASTAVA, VED KULKARNI, SINDHIA LINGASWAMY, (2020). DROWSINESS DETECTION SYSTEM. NATIONAL CONFERENCE ON ADVANCES IN INFORMATION TECHNOLOGY AND COMPUTING.
22. PADMAJA V, SHRUTHI NAYAGI, SINDHIA LINGASWAMY, (2020). UNIVERSITY NEWS PORTAL WITH CHATBOT SUPPORT. NATIONAL CONFERENCE ON ADVANCES IN INFORMATION TECHNOLOGY AND COMPUTING.
23. “Mrs.V.SathyaMr.Kirankumar ManivannanDr.V.VaniDr. Sridhar Chandrasekaran”, (2020). SECURE COMMUNICATION WITH QKDP IN WSN USING REVERSIBLE LOGIC GATES – Paper. AICTE Sponsored e-Conference on Cutting Edge Technologies in Electrical, Communication, Embedded system and Soft computing Techniques (ICECES’20).
24. Shabnam Kumari, Shaveta Malik, Sravanti Reddy, (2020). Analysis of Text Mining Tools in Disease Prediction. HIS 2020 (20th international conference on hybrid intelligent systems (his 2020)).
25. Harini Sriraman and Aswathy Ravikumar, (2020). Effect of Parallel Workload on Dynamic Voltage Frequency Scaling for Dark Silico. 2020 International Conference on Smart Electronics and Communication (ICOSEC). 1012-1017.
26. Jawahar M, Anbarasi LJ, Jasmine SG, Narendra M., (2020). Diabetic Foot Ulcer Segmentation using Color Space Models. International Conference on Communication and Electronics Systems (ICCES) 2020. 742 – 747.
27. Afaf athar, Ilavarasi A K, (2021). A Comparative study of machine learning models for breast cancer prediction. Journal of Physics. 1716..(IF: 1.99).
28. Dhanashri Narayan Wategaonkar and S.V. Nagaraj, (2021). Analysis of QoS Parameters using Prediction Algorithms on CSO based Energy-. ICITSD 2021.
29. Dr. B V A N S S Prabhakar Rao, (2020). Groupware and Virtual Reality for Farmer Collaboration and Communication through. ICEVAR’20 Virtual Conference. 1(1), 1.
30. S.Geetha, L.Jani Anbarasi, Benson Edwin Raj, Aayush Gupta, Aarya, (2020). AR Learning Platform for Mentally Differently Abled Children. IEEE, Seventh International Conference on Information Technology Trends (ITT) 2020. 1(1), 180-184.
31. Parvathi.R , Pattabiraman.V , Ansh Pujara, (2021). Food Demand Forecast For Online Food Delivery Service Using CatBoost Model?. 3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing | Coimbatore, India on December 18-19, 2020.
32. Geetha ,A,Parvathi.R, (2020). Fire Escape Route Tracing using Sensors, Artificial Intelligence and Azure Clou. Virtual International Conference on Futuristic Communication and Network Technologies(VICFCNT 2020), Nov 6-7, 2020 organised by School of Electronics Engineering , Vellore Institute of Technology, Chennai .
33. Andrew Moses, E Sarah Rajkumar and Parvathi R, (2020). Contact-free interaction with computer systems using computer vision techniques. Virtual International Conference on Futuristic Communication and Network Technologies (VICFCNT 2020) to be held during Nov 6-7, 2020 in Vellore Institute of Technology, Chennai. .
34. Saif Gazali and V. Pattabiraman, (2020). Forecasting Election Data Using Regression Models and Sentimental Analysis. Advances in Smart Grid Technology, Lecture Notes in Electrical Engineering. 688(2), 501-509.
35. Balasundaram A, Ashokkumar S, Jayashree D, Magesh Kumar S, (2020). Data mining based Classification of Players in Game of Cricket. ICOSEC 2020 – IEEE XPLORE. 271-275.
36. Magesh Kumar S, Sabitha E, Balasundaram A, Senthil P, Sathish Kumar P J, Ashokkumar S, (2020). Pre-emptive Approach for Resource Scheduling in Cloud Computing. ICOSEC 2020 – IEEE XPLORE. 276-281.
37. Kothandaraman D, Balasundaram A, SeenaNaik Korra, Sudarshan E, Vijaykumar B, (2020). Enhancing dull images using discrete wavelet families and fuzzy. ICRAEM 2020 – IOP Conf. Series: Materials Science and Engineering. 981, 22020.
38. S.Magesh Kumar, V.Auxilia Osvin Nancy, Balasundaram A, Seena Naik korra, Kothandaraman D, Sudarshan E, (2020). Innovative Task Scheduling Algorithm in Cloud Computing. ICRAEM 2020 – IOP Conf. Series: Materials Science and Engineering. 981, 22023.
39. Magesh Kumar S, Balasundaram A, Kothandaraman D, Auxilia Osvin Nancy V, P. J. Sathish Kumar, Ashokkumar S, (2020). An Approach to Secure Capacity Optimization in Cloud Computing using Cryptograph. ICISS 2020 – IEEE Xplore. 1256-1262.
40. Puneet Saran; Durgi Rajesh; Hemant Pamnani; Shikhar Kumar; T.G. Hemant Sai; S Shridevi, (2020). A Survey on Health Care facilities by Cloud Computing. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 1 to 5.
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1. R. Rajalakshmi, Joel Raymann, Aneesh Prabu, Chandrabose Aravindan (2019), Deep URL: Design of Adult URL Classifier using Deep Neural Network, In Proceedings of ACM International Conference on Information Science and System (AISS 2019).
2. R. Rajalakshmi, Hans Tiwari, Jay Patel, Karthik R. (2019), Design of Kids-specific URL Classifier using Recurrent Convolutional Neural Network, International Conference on Computational Intelligence and Data Science (ICCIDS 2019), Procedia Computer Science, Elsevier.
3. R Rajalakshmi, BY Reddy, DLRG@ HASOC 2019: An Enhanced Ensemble Classifier for Hate and Offensive Content Identification, In Proceedings of FIRE 2019 – Forum for Information Retrieval Evaluation, Indian Statistical Institute, Kolkata, India, December 12-15, 2019.
4. R Rameshkannan, R Rajalakshmi, DLRG@ AILA 2019: Context-Aware Legal Assistance System, In Proceedings of FIRE 2019 – Forum for Information Retrieval Evaluation, Indian Statistical Institute, Kolkata, India, December 12-15, 2019.
5. Swaminathan, V., Arora, S., Bansal, R., Rajalakshmi, R. (2019), Autonomous driving system with road sign recognition using Convolutional Neural Networks, In Proceedings of ICCIDS 2019 – 2nd International Conference on Computational Intelligence in Data Science, IEEE. DOI:10.1109/ICCIDS.2019.8862152.Scopus indexed
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7. AL Prajoth SenthilKumar, L. Jani Anbarasi, S. Graceline Jasmine, Vergin Raja Sarobin, Anita Davamani, EGO-Network Analysis of Facebook Data,National Conference on Computational Intelligence and Automation, 12,pp. 225-227, 2019,
8. S. Abijah Roseline, A. D. Sasisri, S. Geetha, and C. Balasubramanian, “Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique”, in The IEEE 53rd International Carnahan Conference on Security Technology (ICCST 2019), organized by MIT, Chennai, India, October 1-3, 2019. (DOI : 10.1109/CCST.2019.8888406)
9. Benson Raj, L. Jani Anbarasi,Modigari Narendra,V. J. Subashini,A New Transformation of 3D Models Using Chaotic Encryption Based on Arnold Cat Map,The 7th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2019),ISBN Nos: 2367-4512, 02, pp. 322-353, 2019, Scopus
10. Saumay Agrawal, Rishabh Dhoot, Shushil Kumar Ravishankar,M.Sivagami, Implementation and analysis of ARIMA model and Kalman filter for weather forecasting in Spark computing environment, International Conference on Computing and Communication Technologies (ICCCT ’19) ,IEEE Xplore, Sairam Engineering College, Chennai, INDIA, September,2019
11. M.Kiranmayi, N.Maheswari, M.Sivagami, Implementation and analysis of ARIMA model and Kalman filter for weather forecasting in Spark computing environment,International Conference on Computing and Communication Technologies (ICCCT ’19) ,IEEE Xplore,Sairam Engineering College, Chennai, INDIA, September 2019
12. Mahek Kantesaria, Dr. Sandhya P,Argumentative Analysis on Persuasive Essays,International Conference on Recent Trends in Advance Computing (ICRTAC), IEEE Xplore,pp.168-173,ISBN:978-1-5386-5853-6,April, 2019,Not Applicable

13. S. Abijah Roseline, G. Hari, S. Geetha, and R. Krishnamurthy, “Vision based Malware Detection and Classification Using Lightweight Deep Learning Paradigm”, in The Fourth International Conference on Computer Vision & Image Processing (CVIP 2019),Organised by MNIT Jaipur, India, 27-29 September 2019. (Accepted for Publication)
14. S. Abijah Roseline and S. Geetha, “High-Performance Malware Classifier using Dense Convolutional Neural Networks”, in The 2nd World Summit on Advances in Science, Engineering and Technology (Indiana Summit 2019), Organised by Indiana University Purdue University, Indiana, USA, October 2-5, 2019. (Accepted for Publication)
15. L.Pavithra and D.Rekha, “Prevention of Replay Attack for Isolated Smart Grid”, Proceedings of 5th International Conference on Engineering and Technology, 2020.
16. Ankush Rai, R. Jagadeesh Kannan, “Automating Machine Learning By Population Coding of Neuronal Cells In Collaborative Decision Making” , Proceedings of 2nd World Summit on Advances in Science, Engineering and Technology (Indiana Summit 2019), Indiana, USA, Oct 3 – 5, 2019.
17. Ankush Rai, R. Jagadeesh Kannan, “Auto Neural Architecture Generator for UAV Based Geospatial Surveillance for Aerial Crisis Mapping in Dark” , Proceedings of 2nd World Summit on Advances in Science, Engineering and Technology (Indiana Summit 2019), Indiana, USA, Oct 3 – 5, 2019.
18. V. Kanchana Devi and R. Ganesan, “Conditional Probabilistic Coefficient based Selfish Node Identification in Cyber Physical Systems, Proceedings of International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, pp. 1-5, 2019

19. R. Padma Priya, J Marietta, D. Rekha, B Chandra Mohan, Akshay Amolik, “IoT-Based Smart Office System Architecture using Smartphones and Smart Wears with MQTT and Razberry”, In: Kulkarni A., Satapathy S., Kang T., Kashan A. (eds) Proceedings of 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore, 2019.

20. Shashwat Sanket,Jayraj Thakor, Piyush Kapoor, Karrmanya Pande, Suyash V. Shrivastav, Maheswari. R, Relative Hand Movement And Voice Control Based Home Automation and PC, Proceedings of 4th International Conference on Inventive Computation Technologies (ICICT- 2019) – Springer Conference, 2019.

21. Maheswari.R et al., A Hybrid Technique of Machine Learning and Data Analytics for Optimized Distribution of Renewable Energy Resources Targeting Smart Energy Management, Proceedings of 2nd International Conference on Recent Trends In Advanced Computing , 2019.

22. Maheswari. R, Azath. H, Sharmila. P, Sheeba Rani Gnanamalar. S, Smart Village: Solar Based Smart Agriculture with IoT Enabled for Climatic Change and Fertilization of Soil, Proceedings of IEEE 5th International Conference on Mechatronics System and Robots, pp.102-105, 2019

23. Priyaadharshini M Srii Laasya Kanuru, “Lifelong Learning in higher education using Learning Analytics, Proceedings of 9th World Engineering Education Forum (WEEF – 2019), 2019.

24. Priyaadharshini M, Bettina Shirley R, Natha Mayil N, R Dakshina, Sandhya. S Learning Analytics: Game-based Learning for Programming Course in Higher Education, Proceedings of 9th World Engineering Education Forum (WEEF – 2019), 2019.

25. Priyaadharshini M Srimadhaven T, Chris Junni AV, Naga Harshith, Jessenth Ebenezer S, Shabari Girish S, Learning Analytics: Virtual Reality for Programming Course in Higher Education, Proceedings of 9th World Engineering Education Forum (WEEF – 2019), 2019.
26. Ajeeth B, Muthumanikandan V, “Hybrid Load Balancing Approach for SDN-Enabled M2M Networks” in the Lecture Notes on Data Engineering and Communications Technologies Springer book series, (LNDECT, 2019, volume 36)

27. Karmel A, Anushka Sharma, Muktak pandya, Diksha Gar, ”IoT based Assistive Device for Deaf, Dumb and Blind People”, International Conference On Recent Trends In Advanced Computing, 2019.

28. Priyadharshini. A, M. Prasad, R. Joshua Samuel Raj, S. Geetha, An authenticated E-voting System using Biometrics and Blockchain, Proceedings of 3 rd ICBDCC 19.

29. Conditional Probabilistic Coefficient based Selfish Node Identification in Cyber Physical Systems, Kanchana Devi V, Ganesan R, 2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), 21/3/2019, Chennai, India.

30. Noella RN, Priyadarshini J. Efficient Computer-Aided Diagnosis of Alzheimer’s Disease and Parkinson’s Disease—A Survey. InNanoelectronics, Circuits and Communication Systems 2019 (pp. 53-64). Springer, Singapore.

31. Satapathy A. and Jenila Livingston L.M., An OpenCLTM Implementation of Fast Frequency Domain Image Denoisification Kernels for Parallel Environments, 5th International Conference on Nanoelectronics, Circuits & Communication Systems (NCCS-2019), paper ID: NCCS19074.
32. Jenila Livingston L.M, Merlin L.L.M, Agnel Livingston L.G.X.& Annie Portia A, Personalized Tutoring System for E-Learning, IEEE International Conference on Recent Advances in Energy-Efficient Computing and Communication, March 2019, St. Xavier’s Catholic College of Engineering, Nagercoil. DOI: 10.1109/ICRAECC43874.2019.8995161, ISBN: 978-1-5386-9482-4, Available in https://ieeexplore.ieee.org/abstract/document/8995161 (Scopus)
33. Aakash Kag, Jenila Livingston L.M., Merlin L.L.M. & Agnel Livingston L.G.X., Multiclass Single Label Model for Web page Classification, IEEE International Conference on Recent Advances in Energy-Efficient Computing and Communication, March 2019, St. Xavier’s Catholic College of Engineering, Nagercoil. DOI: 10.1109/ICRAECC43874.2019.8995087, ISBN: 978-1-5386-9482-4 Available in https://ieeexplore.ieee.org/document/8995087 (Scopus)
34. GeetaAtkar, Priyadarshini J.“Enhancing Readability of Dyslexic Children by Machine Learning Techniques—A Survey”, Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems, Springer, Singapore, pp 117-127, 2019.

35. Avinav Gupta, J Priyadarshini“Smart Monitoring of Automatic Teller Machine—A Survey”, Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems, Springer, Singapore, pp 109-115, 2019.

36. M Manasa, J Priyadarshini “Job Allocation on Cloud: A Comparative Study”, Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems, pp 431-439, Springer, Singapore, 2019

37. RS Nancy Noella, J Priyadarshini“Efficient Computer Aided Diagnosis of Alzheimer’s disease and Parkinson’s disease” 3rd International Conference on Nanoelectronics, Circuits & Communication Systems (NCCS-2017).

38. Satapathy A. and Jenila Livingston L.M., Monitoring Students using Liveness Face Detection Technique in VoIP Classroom Framework, 6th National Summit on 4E & SEED Education Awards 2017, 20th& 21st Sep 2017

39. D.sudha and J. Priayadarshini“A review on multiple vehicle detection and tracking in dynamic environment”, International conference on distributed and intelligent computing, pp 227 – 233, 2016

40. Vijaylakshmi S., Priyadarshini J. “An analysis of particle swarm optimization technique for breast cancer dataset”, International conference on distributed and intelligent computing, pp 898-909, 2016.

41. Soumok Dutta, Parvathi.R, Ganesan.R , “Threat Identification and Examination using Graph Based Anomaly Detection ” 2nd International Conference on Innovative & Advanced Multidisciplinary Research (ICIAMR 2019) at Nanyang Technological University, Singapore, during 12-13 October, 2019 .

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2. Narayanan, Manikandan; Kannan, Anusha; Ulaganathan, Senthilkumaran; Reddiar, Monesh , “Secured Key Management with Trusted Certificate Revocation in MANET” , Information Systems Design and Intelligent Applications, Springer , 2018
3. TVM Sairam, R. Rajalakshmi, A Survey on Advanced Approaches of EHR in inter-related data using Machine Learning , In Proceedings of First International Conference on Information Technology and Knowledge Management, pp.113-119.(Rajesh Kumar, Geetha S., “Malware Detection Modeling System”, in Proceedings of the IEEE International Conference on Recent Trends in Advanced Computing, ICRTAC-CPS 2018, organized by VIT, Chennai Campus, India, 10-11, September 2018.
4. Prof. Christy Jackson, Dr. V. Vijayakumar , “Taxonomy on Evolutionary computation for Vehicular Ad-hoc Networks” , International Conference on Mathematical Computer Engineering 2017 3-4 November, 2017 , 2018
5. Susheela, Asnath Phamila Y, Low Complex secured Image coding for Wireless Image Sensor Network with chaotic map, International Conference on Current Trends in Data Science and Virtualization, 2018, Non Scopus
6. Kalaivani, Asnath Phamila Y, Extraction of Surface Water feature using satellite derived indices to detect changes from times serie LandSat Imagery, International conference on Emerging Trends in Engineering Research, organised by VISTA chennai and SIAM University, Bangkok, 2018, Non Scopus
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8. Modigari Narendra, M.L.Valarmathi,L. Jani Anbarasi,A New Optimal 3D Mesh model watermarking based on Weber Law,1st International Symposium on Artificial Intelligence and Computer Vision,ISBN 978-93-84389-18-5,09, 2018, NonScopus
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10. Karthik.R.V, Sannasi Ganapathy, Arputharaj Kannan , “A Recommendation System for Online Purchase Using Feature and Product Ranking” , Proceedings of 2018 Eleventh International Conference on Contemporary Computing (IC3), 2-4 August, 2018, Noida, India , 2018
11. Balasubramanian Prabhu Kavin, Sannasi Ganapathy, Arputharaj Kannan , “An Intelligent Task Scheduling Approach for Cloud using IPSO and A* Search Algorithm” , Proceedings of 2018 Eleventh International Conference on Contemporary Computing (IC3), 2-4 August, 2018, Noida, India , 2018
12. J. Jenifa Sharon,L. Jani Anbarasi,Dr. Benson Edwin Raj,DPSO-FCM based segmentation and Classification of DCM and HCM Heart Diseases,ITT 2018 Information Technology Trends -IEE Conference – Dubai,978-1-5386-7146-7, 11, pp. 41-46, 2018, Scopus
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15. 8. M. Jayasudha , Sai Ritheesh K, and Subbulakshmi.T, ”Asymmetric Key Encryption for File Transfer in the Open Nebula Private Cloud”, in Proceedings of the IEEE International Conference on New Trends in Engineering and Technology(ICNTET 18),2018.
16. 9. Shashank pathak, Ayush Sharma, Shashank Shekhar, Aayush Pandey, Kiruthika Devi B S,Udayakumar N, and Subbulakshmi.T. ” Detection and Classification of DDoS Attack using Machine Learning Models with Real Time Generated Dataset “, in Proceedings of the International Conference on New Trends in Engineering and Technology(ICNTET), 2018.
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25. 17. B. S. K Devi, V. J. Saglani, A. V. Gupta and T. Subbulakshmi, “Classifying and Predicting DoS and DDoS Attacks on Cloud Services”, in Proceedings of the IEEE 2nd International Conference on Trends in Electronics and Informatics, pp. 1014-1018, 2018.
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28. 20. Jincy J Fernandez, Nithyanandam P., “JPEG Metadata:A complete study”, International Conference on Recent Trends in Advanced Computing, 2018, at VIT,Chennai
29. 21. Jayasudha M, Shreya R, Robin Raj, Subbulakshmi T “Encrypted Packet Transfer with Enhanced Dijkstra’s Algorithm using Open Source tools”, International Conference on communication and signal Processing, ICCSP 2018, at Melmaruvathur
30. S. R. Deepa, D. Rekha, “Cluster Optimization in Wireless Sensor Networks Using Particle Swarm Optimization”, Proceedings of 52nd Annual Convention of the Computer Society of India, Volume 836, pp 240-253, Aug 2018.
31. Durga Prasad Bollu & Maheswari R, Machine Learning Approach To Predict Remaining Life Span of Bearing, Proceedings of International Conference on Mathematical Computer Engineering, 2018.
32. Maheswari.R et al., Cancer Detecting Nanobot using Positron Emission Tomography, Proceedings of International Conference on Robotics and Smart Manufacturing, 2018
33. Abhisekh Kumar Singh & Maheswari R, Product Recommendation Based On Expiry Date Using Big Data Analytic, Proceedings of International Conference on Mathematical Computer Engineering, 2018.
34. Dhar, S., Gandhi, A., Ahuja, G., Anusooya, G., “Raspberry Pi based real time tracking system”, “ Proceedings of the International conference on Inventive Computing and Informatics, ICICI 2017, 2018.
35. Vatsal J. Saglani, Aayush V. Gupta, Rupam Sarma, Shashank Pathak, D.Rekha, “IoT based Smart Safe System”, Proceedings of International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), 2018.
36. Priyanka Rameshpant Gulhane and TS Pradeep Kumar, “TensorFlow Based Website Click through Rate (CTR) Prediction Using Heat maps,” Proceedings of International Conference on Recent Trends in Advance Computing (ICRTAC). IEEE, pp. 97–102, 2018.
37. M.Priyaadharshini, Prateek Singh, “Large Scale Image Retrieval with Locality Sensitive Hashing”, Proceedings of International Conference on Inventive Computation Technologies (ICICT-2018), November 15th-16th, 2018.
38. Vergin Raja Sarobin.M , Mayank, Mahima, Data Analytics on IoT-based Health Monitoring System, Proceedings of International Conference on Cognitive IoT with Big Data & Cloud, 2018.
39. Utsav Rai, Aman Saha, Vergin Raja Sarobin M, Kashish Miglani and Bismita Sahoo, ReachOut Smart Safety Device, Proceedings of International Conference on Wireless Networks & Embedded System, 2018
40. Vergin Raja Sarobin.M and Akhil Vaibhav, ” Bio-inspired node deployment in heterogeneous wireless sensor networks for monitoring wind farm ” International Conference on Mathematical Computer Engineering, 2018.

41. KS Umadevi, A Gaonka, R Kulkarni, R J Kannan, “Analysis of Stock Market using Streaming Data Framework”, Proceedings of International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, pp 1388-1390, September 2018.
42. KS Umadevi, Romansha Chopra, Nivedita Singh, Likitha Aruru, R Jagadeesh Kannan, “Text Summarization of Spanish Documents”, Proceedings of International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, pp 1793-1797, September 2018.
43. L. Jeganathan, A. Nayemula Khan, R. Jagadeesh Kannan, N. Sambandam, “On a Frame Work of Curriculum for Engineering Education 4.0”, Proceedings of 8th Word Engineering Education Forum, Albuquerque, NM, USA, USA, Nov 12-16, 2018
44. R. Jagadeesh Kannan, P. Punithavathi, N. Sambandam, “Technology Adoption Models – Adoption of ICT in Educational Institutions in India” , Proceedings of 8th Word Engineering Education Forum, Albuquerque, NM, USA, USA, Nov 12-16, 2018
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1. R Rajalakshmi, SanjuXaviar (2017), Experimental Study of Feature Weighting Techniques for URL Based Webpage Classification, Procedia Computer Science 115, 218-225.Scopus indexed
2. R. Rajalakshmi, Rohan Agrawal, Borrowing Likeliness Ranking based on Relevance Factor (2017), Proceedings of ACM IKDD conference on Data Sciences CODS2017, March 2017, Article
3. R.Geetha, S. Geetha, “Improved Reversible Data Embedding In Medical Images Using I-IWT and Pairwise Pixel Difference Expansion”, in 3rd International Conference on Next Generation Computing Technologies (NGCT 2017), UPES Dehradun, Communications in Computer and Information Science Series, Springer Singapore, pp. 601-611, 30 – 31 Oct 2017. Published in 2018(Total Acceptance Rate < 15%)
4. P. Punithavathi, S. Geetha, and S. Sasikala, Generation of Cancelable Iris Template Using Bi-level Transformation, in ACM International Conference on Biometrics and Forensics Engineering ICBFE 2017, at National University of Singapore, Singapore, 22-24 June 20
5. Kalaivani,Asnath Phamila Y, Fusion of Multi Temporal Landsat Images for change detectionInternational Conference on Knowledge Discovery and Computational Intelligence (ICKDCI 2017) 2017 Non Scopus
6. Susheela, Asnath Phamila Y, Skipped Zonal based Binary DCT (SZBinDCT) for Image communication over Resource Constrained Visual Sensor Network, ISBCC, 2017
7. TS Pradeepkumar, Mohammad S Obaidat, P VenkataKrishna and V Saritha,“Stochastic Power Modeling of Wireless Sensor Networks for Mission Critical Systems,” Proceedings of Future Technologies Conference 2017, vol. 11, pp. 1–8, 2017.

8. PradeepKumar, T. S., P. V. Krishna, M. S. Obaidat, V. Saritha, and K. F. Hsiao. “Energy Optimisation using Distance and Hop-based Transmission (DHBT) in Wireless Sensor Networks.” Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, pp. 17-23. SCITEPRESS-Science and Technology Publications, Lda, 2017.

9. R.Maheswari, P.Sharmila,Ramya.Y, IoT Based Water & Flouride Monitoring & Controlling System in Rural Areas, Proceedings of International Symposium on Big Data and Cloud Computing Challenges (ISBCC – ’17), 2017.
10. Ankush Rai, Sakkaravarthi Ramanathan, R Jagadeesh Kannan, “Multi-User Networked Framework for Virtual Reality Platform” Proceedings of 14th Annual IEEE Consumer Communications & Networking Conference (CCNC 2017) organized by IEEE, sponsored by IEEE Communications Society, Las Vegas, USA, January 8-11, 2017
11. Lokesh VK, Chadalavada Prasanth Chowdary, K. Naresh, R. Jagadeesh Kannan, “Classification of Automobiles by Analysis of Frequency using an Arduino” Proceedings of 4th International Conference on ‘Microelectronics, Circuits and Systems’, Micro2017 organized by Forum of CCSN in association with International Association of Science, Technology and Management, sponsored by IEEE (EDS) Kolkata Chapter, Darjeeling, West Bengal, India., June 03 – 04, 2017.

12. Ankush Rai, R. Jagadeesh Kannan, “Membrane Computing Based Scalable Distributed Learning and Collaborative Decision Making for Cyber Physical System”, Proceedings of 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, in association with IEEE, Poznan, Poland, June 21 – 23, 2017.
13. Nisha V.M., L. Jeganathan, “A Cellular Automata Model for even linear Languages”, Proceedings of the International conference on mathematical Computer Engineering”, 2017.
14. International Journal of Image Mining, Vol. 2, Nos. 3/4, 2017 Editors: V. Vijayakumar, P. Nithyanandam, V Neelanarayanan, Guillaume Blin.
15. Jisha S Manjaly and Subbulakshmi T, “A Comparison Study and Performance Evaluation of Schedulers in Hadoop YARN”, in Proceedings of the IEEE International Conference on Communication and Electronics Systems, pp.78-83, 2017.
16. Udayakumar N, Anandaselvi S and Subbulakshmi T, “Dynamic Malware Analysis using machine learning Algorithm”, in Proceedings of the IEEE International Conference on Intelligent Sustainable Systems, pp.810-815, 2017.
17. Kiruthika Devi B S and Subbulakshmi T, “DDoS Attack Detection and Mitigation Techniques in Cloud Computing Environment”, in Proceedings of the IEEE International Conference on Intelligent Sustainable Systems, pp.524-529, 2017.
18. An efficient system model for multicasting measured noise value of polluting industries, Kannan NArasu KJagadeesh Kannan R, Ganesan R Advances in Intelligent Systems and Computing, 508, pp 377-383, 2017
19. A.Dhanapal, Nithyanandam P. “An Efficient and Effective Mechanism to reproduce real time HTTP Flooding DDoS Attack” ,International Conference on Intelligent computing, Instrumentation and Control Technologies, 2017, at Vimal Jyothi Engineering College, Kerala.
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21. Jasmine SG, Pattabiraman V. Enhanced Pixel Purity Index Algorithm to Find the Index Position of the Pure Pixels in Hyperspectral Images. InAdvances in Electronics, Communication and Computing 2018 (pp. 363-370). Springer, Singapore.

21. Santosh & Jenila Livingston L.M, Two Level Filtering using High Band Pass and Winner Algorithms for Speech Enhancement, International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS 2017), 1st & 2nd Aug 2017, SKR Engineering College, Chennai, Tamil Nadu, India.

23. Sharmila Chidaravalli, Jenila Livingston L.M & Manjunath TK, Vibration Based Expert System : Review, International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT 2017), 6th & 7th July 2017, Kannur, India. DOI: 10.1109/ICICICT1.2017.8342611, ISBN: 978-1-5090-6106-8, Available in: https://ieeexplore.ieee.org/document/8342611/ (Scopus)

24. Satapathy A. and Jenila Livingston L.M., Monitoring Students using Liveness Face Detection Technique in VoIP Classroom Framework, 6th National Summit on 4E & SEED Education Awards 2017, 20th & 21st Sep 2017, IIT, Madras, Chennai, India

1. P. Punithavathi, S.Geetha, “Dynamic Sectored Random Projection for Cancelable Iris Template”, in IEEE Proceedings International Conference on Advances in Computing, Communications and Informatics (ICACCI -2016), at LNM Institute of Technology, Jaipur 21-24 September 2016.
2. R.Geetha, S.Geetha, “Multilevel RDH Scheme Using Image Interpolation”, in IEEE Proceedings International Conference on Advances in Computing, Communications and Informatics (ICACCI -2016), at LNM Institute of Technology, Jaipur 21-24 September 2016.
3. Dolly Meghani, S.Geetha, “ECG Steganography to secure patient data in an E-Healthcare System”, in Proceedings of ACM – International Conference Proceedings Series – Women in Research ACM-WIR 2016, Sri Aurobindo Institute of Technology, Indore, 21st March 2016. (ISBN : 978 – 1 – 4503 – 4278 – 0)
4. P. Punithavathi, S.Geetha, “Cancelable Biometric Template Security using Segment-based Visual Cryptography”, in Proceedings of International Conference on Computer Vision and Image Processing (CVIP -2016), Springer Publishers, at IIT Roorkee, 26-28 February 2016.
5. Lavanya Sivakumar, B. Jayaram, K. Thulasiraman and S. Arumugam, Virtual Topologies for Topology Abstraction Service for IP-VPNs, IEEE-Xplore, Networks-2016, 17th International Network Strategy and Planning Symposium, Montreal, Canada.
6. Maheswari.R & Pattabiraman.V, Performance Analysis of Reconfigurable Soft-Core using Video Surveillance System, Proceedings of International Conference on Mathematical Computer Engineering, 2016.

7. Neelanarayanan V., “A Survey on Desktop Grid Systems – Research Gap”, Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’), Smart Innovation, Systems and Technologies Series, vol. 49:183-21, 2016

8. J Prassanna, P Ajit Jadhav and Neelanarayanan V., “Towards an Analysis of Load Balancing Algorithms to Enhance Efficient Management of Cloud Data Centres, Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’), Smart Innovation, Systems and Technologies Series, vol.49: 143-155, 2016
9. Anusooya, G., Vijayakumar, V, Power Optimization System for a Small PC using Docker, Proceedings of the 3rd International symposium on big data and cloud computing challenges (ISBCC–16’) (pp. 173-181), 2016
10. Ankush Rai, R Jagadeesh Kannan, “Multivariate Automated Differential Diagnosis System” Souvenir of Engineering Sciences (ADINA YOUNG SCIENTIST AWARD-2016) organized by Adina Institute of Science and Technology, Sagar, Madhya Pradesh, India, March 05, 2016.

11. Ankush Rai, Sakkaravarthi Ramanathan, R Jagadeesh Kannan, “Quasi Opportunistic Supercomputing for Geospatial Socially Networked Mobile Devices” Proceedings of 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE-2016) organized by Paris School of business (PSB), 59 Rue Nationale, 75013 Paris, France in association with CNRS LAB, CERC, IEEE, Telecom Sud Paris, June 13-15, 2016.

12. Ankush Rai, Sakkaravarthi Ramanathan, R Jagadeesh Kannan, “Networked Infrastructure for Scalable Drone Services” Proceedings of 5th International Conference on Computing, Communication and Sensor Network (CCSN 2016) organized by Forum of CCSN in association with International Association of Science, Technology and Management, sponsored by IEEE (EDS) Kolkata Chapter, Kolkata, December 24 – 25, 2016.
13. Ankush Rai, Sakkaravarthi Ramanathan, R Jagadeesh Kannan, “One Shot Learning Technique for Automatic Target Detection in Multiview SAR Imagery” Proceedings of 5th International Conference on Computing, Communication and Sensor Network (CCSN 2016) organized by Forum of CCSN in association with International Association of Science, Technology and Management, sponsored by IEEE (EDS) Kolkata Chapter, Kolkata, December 24 – 25, 2016.
14. Ankush Rai, Sakkaravarthi Ramanathan, R Jagadeesh Kannan, “Mathematical Modeling of M2M Enabled Cellular Networks” Proceedings of 5th International Conference on Computing, Communication and Sensor Network (CCSN 2016) organized by Forum of CCSN in association with International Association of Science, Technology and Management, sponsored by IEEE (EDS) Kolkata Chapter, Kolkata, December 24 – 25, 2016.
15. Ankush Rai, Sakkaravarthi Ramanathan, R Jagadeesh Kannan, “Mathematical Modeling of M2M Enabled Cellular Networks” Proceedings of 5th International Conference on Computing, Communication and Sensor Network (CCSN 2016) organized by Forum of CCSN in association with International Association of Science, Technology and Management, sponsored by IEEE (EDS) Kolkata Chapter, Kolkata, December 24 – 25, 2016.

16. K. Naresh, R Jagadeesh Kannan, “Application of Graph Theory for Intensity Modulated Radiation Therapy (IMRT) Cancer Treatment” Proceedings of 5th International Conference on Computing, Communication and Sensor Network (CCSN 2016) organized by Forum of CCSN in association with International Association of Science, Technology and Management, sponsored by IEEE (EDS) Kolkata Chapter, Kolkata, December 24 – 25, 2016.
17. Thaseen IS, Kumar CA. Intrusion detection model using chi square feature selection and modified Naïve Bayes classifier. InProceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–16’) 2016 (pp. 81-91). Springer, Cham.

18. Sharmila Chidaravalli, Jenila Livingston L.M, Manjunath TK & Andrews Samraj , Study on Diagnosing Gearbox Faults in Vehicles Using Expert Systems: Review, International Conference on Knowledge Engineering (ICKE 2016), 21st to 23rd Dec 2016, Aurangabad, Maharashtra, India

19. Kaleeswari S. & Jenila Livingston L.M., Education Data Analysis, National Conference on Science, Engineering and Technology (NCSET), VIT University, Chennai, 2nd & 3rd May 2016.

20. Merlin L.L.M. & Jenila Livingston L.M., DIBR based 2D to Stereo Video Conversion, IEEE National Conference on Recent Trends in Computer Science Information, Electronics, Electrical, Mechanical Engineering and their Applications, 3rd and 4th March 2016, Jeppiaar Institute of Technology, Chennai, Tamil Nadu, India.

21. Satapathy A. and Jenila Livingston L.M., SSL/ TLS and their exploitation, 2nd IEEE International Conf. Engineering Tech. (ICETECH), 17th & 18th Mar 2016, Coimbatore, Tamil Nadu, India.

6. Dr. T. Subbulakshmi, Udayakumar N, “Windows XP Vulnerabilities”, in Proceedings of the 11th International Conference on Science Engineering and Technology, 2015.

7. Dr. T. Subbulakshmi, Shantanu Sakpal, Surendra Kumar Prajapat, Aditya Gaikwad and Kiruthika Devi BS, “Smurf Attack Detection using Snort IDS”, in Proceedings of 11th International Conference on Science Engineering and Technology, 2015

8. Rajarajeswari S, and Neelanarayanan V., “A Systematic Literature Review on Ontology based Context Management System”, The 49th Annual Convention of Computer Society of India (CSI-2014), Springer AISC Series vol. 338, pp 609-619, 2015

9. JC Jackson, V Vijayakumar, MA Quadir, C Bharathi, Survey on Programming Models and Environments for Cluster, Cloud, and Grid Computing that Defends Big Data, Procedia Computer Science, 50, 517-523, 2015.

10. G.Nirmala, S.Geetha, S.Selvakumar, “Intellectual Method of guiding Mobile Robot Navigation using Reinforcement Learning Algorithm”, in Proceedings of IEEE International Conference on Engineering and Technology ICETECH-15, Coimbatore, TN, India, pp. 1-4, 20th March 2015.
11. S.Geetha, Tutorial on Image content protection in cloud through reversible data hiding: Theory and Implementation, 4th IEEE International Conference on Advances in Computing, Communications and Informatics ICACCI -2015, Cochi, Kerala, 10-13 August 2015. (Accepted for Publication)
12. S.Sasi Kala, S. Appavu Balamurugan and S.Geetha, ”A Novel Feature Selection Technique for Improved Survivability Diagnosis of Breast Cancer”, in Proceedings of 2nd International Symposium on Big Data and Cloud Computing ISBCC ’15, Science Direct, Procedia Computer Science, pp. 16-23, organised by VIT University – Chenai Campus, Tamil Nadu, India, March 12-13, 2015.
13. S.Sirin Seema, M.Maheswari, S.Selvakumar, S.Geetha, “Reckoning Trust in E-Commerce by Mining Product Reviews”, in Proceedings of International Conference on Advances in Applied Engineering and Technology ICAAET– 2015, orgainsed by Syed Ammal Engineering College, Ramanathapuram, India, May 14-16, 2015.
14. S.Hasan Hussain, S. Geetha, M. AmuthaPrabakar, “Listing Past, Current, and Upcoming Research in Ubiquitous Computing – A Review”, in Proceedings of International Conference on Advances in Applied Engineering and Technology ICAAET– 2015, orgainsed by Syed Ammal Engineering College, Ramanathapuram, India, May 14-16, 2015.
15. T. B Sivakumar, S. Geetha, M. AmuthaPrabakar, “ Role Based Access Control Policy in Secure Sharing Healthcare Data Using Multi Cloud”, in Proceedings of International Conference on Advances in Applied Engineering and Technology ICAAET– 2015, orgainsed by Syed Ammal Engineering College, Ramanathapuram, India, May 14-16, 2015.
16. S.Geetha, Siva S.Sivatha Sindhu, “A Current Survey on Intrusion Detection Systems for Wireless Sensor Networks”, in Proceedings of Bilingual International Conference on Information Technology and Library Science, pp. 108-120, orgainsed by DRDO, New Delhi, 19-21, February 2015.

17. Vergin Raja Sarobin.M and Ganesan.R, “Swarm Intelligence Based Node Deployment of Wireless Sensor Networks for Smart Grid Power Generation,” Proceedings of International Conference on Mathematical Computer Engineering, pp.160-161, 2015.
18. R. Jagadeesh Kannan, Subramanian.S, M. Pradeep Raja (2015), “An Adaptive Approach of Biometric based Authentication in ATM using Deep Learning” Proceedings of 1st International Conference on Microelectronics, Computing & Communication Systems organized by Institution of Electronics & Telecommunication Engineers & Indian Society for VLSI Education ARTTC, BSNL, Jharkhand, India, November 14 – 15, 2015.

19. Sakkaravarthi Ramanathan, R Jagadeesh Kannan, Ismael Bouassida Rodriguez (2015), “MAM: Mission – Aware Middleware for Collaborative Communication” Proceedings of 4th International Conference on Computing, Communication & Sensor Network (CCSN 2015) organized by CCSN in association with International Association of Science, Technology & Management, sponsored by IEEE (EDS) Kolkata Chapter, Kolkata, Dec 24 – 25, 2015.
20. R. Jagadeesh Kannan, Subramanian.S, M. Pradeep Raja, A. Vidhya (2015), “Classifying and Detecting Packed Polymorphic Malware Files Using Data Mining Tool” Proceedings of International Conference on Mathematical Computer Engineering organized by VIT University, Chennai, India, December 14 – 15, 2015.

21. Prabakaran.N, Jagadeesh Kannan. R (2015), “Context Centered Response for Enabling Pervasive Environment using Data Centric WSNs” Proceedings of International Conference on Mathematical Computer Engineering organized by VIT University, Chennai, India, December 14 – 15, 2015.

22. Naresh. K, R. Jagadeesh Kannan (2015), “An Enumeration of Radiotherapy Terminologies, Planning and its Optimization” Proceedings of International Conference on Mathematical Computer Engineering organized by VIT University, Chennai, India, December 14 – 15, 2015.

23. Umadevi. K.S, R. Jagadeesh Kannan (2015), “An Energy Efficient Protocol for Underwater Acoustic Sensor Networks” Proceedings of International Conference on Mathematical Computer Engineering organized by VIT University, Chennai, India, December 14 – 15, 2015.

24. Senjaliya Mudra & Jenila Livingston L.M., Content Personalizing by Intelligent Agent in E-Learning, International Conference on Technical Advancements in Engineering and Technology, 4th Apr 2015, International Institute of Scientific Research and Technology, Chennai, India.
25. Vijaylakshmi S., Priyadarshini J. “Optimization in Big Data using Swarm Intelligence: A survey”, 2015 IEEE International Conference on Engineering and Technology, 20 th March 2015, Coimbatore, India.

1. A. J. George Ebbinason, B. Rajesh Kanna, Color Fingers: Improved Multi-Touch Color Picker, Proceeding of SIGGRAPH Asia 2014 Technical Briefs, Shenzhen, China, Page 13:1–13:4, 13, DOI:10.1145/2669024.2669033
2.  R. D. Jackson Samuel, B. Rajesh Kanna, Development Of Cybernetic Technique in complete smear scanning of Tuberculosis Bacterium smear, Parallel Computing, Page, 51-54, 2014, ISBN: 978-93-81899-42-7. VIT, Chennai
3.  B. Rajesh Kanna And C. Vijayalakshmi, Detection of Cutting Tool Wear using Hybrid techniques of Pattern Recognition and Artificial Intelligence Noopur Nawge, Proceedings Of International Conference On Modelling, Optimization And Computing (ICMOC 2014), NI University, Nagercoil, Tamilnadu
4. E.Umamaheswari, Dr. D.K.Ghosh “Radial Basis Function Neural Network for Software Engineering Measures – A Survey” ISBCC’14.
5. Kasliwal B,Bhatia S, Saini.S, Sumaiya Thaseen and Ch.Aswani Kumar,”A hybrid anomaly detection model using G-LDA”, IEEE Advance Computing Conference IACC 2014.
6. Alok Chauhan, “Towards the development of a framework for socially responsible software by analyzing social media big data on cloud through ontological engineering”, International symposium on Big data and Cloud computing Challenges, 2014.
7. Prassanna, Punitha, NeelaNarayanan, “Towards an analysis of data accountability and auditing for secure cloud data storage”, International symposium on Big data and Cloud computing Challenges, 2014.
8. Christy Jackson, Abdul Quadir, Vijayakumar, “Survey on Programming Models and Environments for cluster, cloud and grid computing that defends big data”, International symposium on Big data and Cloud computing Challenges, 2014.
9. Radha N, Shahina A, Vinoth G, Khan AN. Improving recognition of syallabic units of hindi languagae using combined features of throat microphone and normal microphone speech. In2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) 2014 Jul 10 (pp. 1343-1348). IEEE.
10. Anusha K, Ezhilmaran D. Investigations on Classification Algorithms for Intrusion Detection System in MANETS. In2014 International Conference on Electronics, Communication and Computational Engineering (ICECCE) 2014 Nov 17 (pp. 216-219). IEEE.
11. Jenila Livingston L.M. & Samuel Johnson Israel K., Creating Virtual Internships for 21st Century Digital Generation students at VIT Chennai, National Conference on Sustainable Industry Institute Partnership, 25th Aug 2014, IIT, Madras, Chennai, India.
12.  Jenila Livingston L.M., Agnel L.G.X. & Merlin L.L.M., Effective Practical Training through Flipped Classrooms, National Conference on Sustainable Industry Institute Partnership, 26th Aug 2014, IIT, Madras, Chennai, India.
13. Jenila Livingston L.M. & Agnel Livingston L.G.X. & Merlin L.L.M., Vector Quantization based Compression Technique for Encrypted Images, International Conference on Recent Trends in Engineering and Technology (ICRTET-2014), 14th Mar 2014, CSI Institute of Technology, Nagercoil, Chennai, India
14. Jenila Livingston L.M, Biometrics Encryption and Recognition using Fingerprint Level3 Features, National Conference on Recent Trends in Modern Electronics and its Applications, Mar 2014, Jeppiaar Institute of Technology, Chennai, India.
15. Jenila Livingston L.M. & Samuel Johnson K., Fuzzy Based Expert System of Stress Management for Engineering College Teachers, International Conference on ‘Best Organization Practices’, 22nd February, 2014, AMET University, Chennai, India.

• Saurabh Jha, Tejaswi Agarwal and B. Rajesh Kanna, Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs, in Proceedings of International Conference on Supercomputing (ICS-12), 475-476, 2013 DOI:acm.org/10.1145/2464996.2467269
•  Tejaswi Agarwal, Saurabh Jha and B. Rajesh Kanna, P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising, in Proceedings of 22nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC 13), abs/1306.5390, 2013, DOI:arxiv.org/abs/1306.5390,
• Maheswari.R, Pattabiraman.V, “Simulation of Global Hazard Controller Unit in Reconfigurable OR1200 Open Source Soft-core Processor”, International Conference on Mathematical Computer Engineering, 2013.
• Shahidha Banu, N.Maheswari, M.Geethalakshmi, “A Framework for Image Classification for an Efficient Dictionary Based Face Recognition System”,IEEE International Conference on Computational Intelligence and Computing Research(ICCIC) 26-28 ,Dec 2013.
• Tejaswi, Maheswari.R, “Design Of A Soft-Core Processor Based On Opencores With Enhanced Processing For Embedded Applications “, International Conference on Advances in Computing, Communications and Informatics, August 2013.
• Sonali and Maheswari.R “An Intelligent Obstacle And Over Speeding Sensor To Prevent Dashing Of Motorcycles”, International Conference On Electrical, Electronics And Computer Engineering, 14th July 2013.
• Arun , Ashok, Maheswari.R, “Biometric Based Mobile Panel To Prevent Mobile Hacking”, International Conference On Industrial Electronics And Electrical Engineering, 2013.
• P.Rukmani, “Scheduling algorithm for RT application in mobile adhoc mobile network with open modeler”, International Conference on Design and Manufacturing, 2013.
• Nachiyappan. S, Justus. S., “Getting Ready for Big Data Testing: A Practitioner’s Perception”, International Conference on Computational and Networking Technologies, July 2013.
• Sumaiya Thaseen and Ch.Aswani Kumar, “Analysis of Supervised tree based classifiers for intrusion detection system”, IEEE International Conference on Pattern Recognition, Informatics and Mobile Engineering, 2013.
• P. Sandhya & M. Lakshmi (2013), Web Service Composition Based on Decision Theory under Environmental Condition of Uncertainty, National Conference on Innovations in Electrical and Electronics and Computer Science Engineering, Bangalore by, Association of Researchers and Scientists, 22 September, 2013.
• P. Sandhya and M. Lakshmi, Processing Composite Service Requests in a Sequential Model to Minimize Total Elapsed Time, The Second National Conference on Computational Intelligence in Electrical and Electronics Engineering, 2013.

•  B. Rajesh Kanna, C.Aravindan, K.Kannan, An Extended algorithm based on yConvex Hypergraph model to distinguish between simply and multiply-connected regions in digital images, National Conference on Graph theory and its Engineering Applications, SASTRA University, Thanjavur
• B.Saleena and Dr.S.K.Srivatsa “ConSim: An Enhanced Semantic Similarity measure to find the relationship between concepts in cross ontology”, International Conference and IT Exhibition”, 3rd to 5th September, 2012.
• Maheswari.R, Pattabiraman.V, “Parallel High Performance Reconfigurable Computing in Soft-Core Processor of Embedded Systems”, International Conference on Advanced Computing and Communications, 14th -16th December 2012.
• Sarathkumar.J, Maheswari.N, Potential fishing zone estimation by rough cluster predictions, Fourth International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM), 2012.DOI: 10.1109/CIMSim.2012.34, Page(s): 82 – 87.
• Kalvina.R, Maheswari.N. Suitability Analysis of Gestures for Emergency Response Communication by Patients, Elderly and Disabled while using Data Gloves. 1st WSEAS International Conference on Information Technology and Computer Networks (ITCN’12), Book of Latest trends in Information Technology, ISSN: 1790-5109, ISBN: 978-1-61804-134-0 ,Page:256-260.
• Emil Kuriakose John and Sumaiya Thaseen. An efficient defense system for IP Spoofing in Networks. Computer Science Conference Proceedings on Wireless and Mobile Networks, October 2012.
• Nancy Nainan, Himika Parmar and Sumaiya Thaseen. Generation of Secure one time password based on image authentication. Computer Science Conference Proceedings on Wireless and Mobile Networks, October 2012.
• Sasirekha and Sumaiya Thaseen. An integrated intrusion detection system for credit card fraud detection. Fifth international conference on network security and Applications, July 14, 2012.
• S. Graceline Jasmine and V. Pattabiraman. Detection of Surface and Bedrock Region in a Polar Ice Sheet Radar Image. Proceeding of International Conference on Electrical Engineering and Computer Science (ICEECS-2012), pp.20-25, Goa, May 2012.
• Maheswari R, Pattabiraman V. A New Technique of Embedding Multigrain Parallel HPRC in OR1200 a Soft-Core Processor. Proceeding of International Conference on Machine Learning and Computing (ICMLC 2012), Hong Kong, 10-11 March 2012.
• Pattabiraman. V, Mahefooza. M and Suresh. K. Comparative Study on Chlorophyll Distributions in the Coastal Regions of Northeastern Arabian Sea and Southern Bay of Bengal based on Indian Seasons and Rainfall Distributions. Proceeding of Asia pacific International conference on Environmental science and Technology (APEST 2012), Kuala Lumpur, Malaysia, Feb 1-2,2012.

• Saira Banu J, Sumaiya Thaseen I. A Novel Intrusion Detection Technique for Credit Card Fraud Detection. 3rd International Conference on Science, Engineering and Technology (SET), Vol.4, November 17-18, 2011.
• K.Santhi, Sumaiya Thaseen I. Performance Analysis of FSR,LAR and ZRP Routing Protocols in MANET. 3rd International Conference on Science, Engineering and Technology(SET), Vol.5, November 17-18 2011.