School of Computer Science and Engineering

Research

Book Publications

Year 2022

  1. Dr. R. Priyadarshini, Dr. N. Rajendran, Dr. K.A. Varun Kumar, Modern Software Development Workbook, Mahi Publishers, 2022.
  2. D Kavitha, Internet of Things-Basics, Flying hands publications, 2022.
  3. Kumar L.A., Renuka D.K., Geetha S., Deep Learning Research Applications for Natural Language Processing, IGI Global, 2022
  4. Tyagi A.K., Abraham A., Recurrent Neural Networks: Concepts and Applications, Taylor & Francis, 2022

Year 2021

1. Niranjan Panda, Sandeep Kumar Satapathy, Shruti Mishra, Pradeep Kumar Mallick, Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease , Technical Advancements of Machine Learning in Healthcare, Studies in Computational Intelligence 936, Springer, – pp-75 to 86, (2021).
2. DhanasekaranV. MuthumanikandanM. PrasadA. Jayachandran, Multi-Class Brain Tumor Classification System in MRI Images Using Support Vector, Lecture Notes in Electrical Engineering/Advances in Electrical and Computer Technologies, pp-1007-1014, (2021).
3. Abijah Roseline, Geetha S., “Intelligent malware detection using deep dilated residual networks for cyber security”, IGI Global Research Anthology titled Research Anthology on Artificial Intelligence Applications in Security, pp. 1085-1099, Jan 2021. DOI: 10.4018/978-1-7998-7705-9.ch050. (ISBN: 978-1-79987-705-9 (hardback)).
4. S. Geetha, L. Jani Anbarasi, Arya Vardhan Prasad, Aayush Gupta and Benson Edwin Raj, “Augmented Reality Application: AR Learning Platform for Primary Education”, Multimedia and Sensory Input for Augmented, (2021).
5. Anto Arockia Rosaline R., Parvathi R., Deep Learning for Social Media Text Analytics, Advanced Deep Learning Applications in Big Data Analytics Deep Learning for Social Media Text Analytics (050819-015036) (pages 68-91), (2021).
6. IgnishaRajathi,Johny Elton,Vedhapriyavadhana.R,L.R.Priya, Internet of Things, Artificial Intelligence and Blockchain Technology, Springer Nature, (2021).
7. R.Vedhapriyavadhana,Ignisha Rajathi,Girija,Jayalakshmi.S.L,Johny Elton, Tools, platforms and techniques used for the management of the patients with COVID, Elsevier
8. Rajathi C and Rukmani. P, A Survey on Distributed Denial of Service Attack Detection, Security and Privacy-Preserving Techniques in Wireless Robotics, (2021).
9. Arun Kumar Sivaraman, A Muraidhar, Rajiv Vincent, N Janakiraman, Kong Fah Tee, Image Processing with Machine Learning, (2021).
10. R.Vedhapriyavadhana,Jayalakshmi.S.L,Girija.R,Ninoslav Marina, Ethereum Block chain Network with Artificial Intelligence -DeFi Affair Management, IET- MLBT – IoTs – Big Data – 2020, (2021).
11. Vergin Raja Sarobin M, Rukmani Panjanathan, and E. A. Mary Anita, Machine Learning Based Intrusion Detection for Internet of Things Network Traffic, Handbook of Research of Internet of Things and Cyber-Physical Systems An Integrative Approach to an Interconnected Future, (2021).
12. M. Vergin Raja Sarobin, Sherly Alphonse, and L. Jani Anbarasi, Intelligent Interactive Multimedia Systems for e-Healthcare Applications, Automated Health Monitoring System (AHMS) Using IoT for Improving Healthcare, (2021).
13. S.V.Nagaraj and Navneet Bhushan, Critical Infrastructure: Defense Industrial Base Sector, Encyclopedia of Security and Emergency Management, (2021)..
14. R.Radha, VinuthnaReddy, Kathiravan, Mitigating Collision in Multihop Wireless Networks A Survey, Wireless Sensor Networks and the Internet of Things, pp.38-48, (2021).
15. Dinesh Jackson Samuel, Rajesh Kanna Baskaran, Design to automate the detection and counting of Tuberculosis(TB) bacilli, Electrical Engineering and Systems Science, Image and Video Processing, May 2021
16. Rajesh Kanna, and C.Vijayalakshmi, Touch and Voice-Assisted Multilingual, Communication Prototype for ICU Patients Specific to COVID-19, Smart Healthcare System Design: Security and Privacy Aspects, 71-85, Wiley, (2021).
17. P.Subbulakshmi, S. Vimal, Seifidine Kadry, K.Vijayalakshmi, Deep Learning for Video Analytics using Digital Twin, River Publishers, (2021).
18. R Vedhapriyavadhana, S.L Jayalakshmi, R Girija, Tools and techniques used for the management of the patients with COVID-19, Biomedical Engineering Tools for Management for Patients with COVID-19- Elsevier, (2021)..
19. Amit Kumar Tyagi, Meghna Manoj Nair, Deep Learning for Clinical and Health Informatics, CUDLMC Wiley Scrivener, pp.109-130, (2021).
20. Akshara Pramod, Harsh Sankar Naicker and Amit Kumar Tyagi*, Machine Learning and Deep Learning: Open Issues and Future Research Directions, CUDLMC Wiley Scrivener, pp.463-490), (2021).
21. Shasvi Mishra, Amit Kumar Tyagi, The Role of Machine Learning Techniques in Internet of Things Based Cloud Application, “Artificial Intelligence for Internet of Things”,(2021)..
22. Shaveta Malik, Amit Kumar Tyagi, Sameer Mahajan, Deep Learning Framework (Architecture, Generative Model, Deep Reinforcement learning, Artificial Intelligence for Internet of Things, (2021).
23. Amit Kumar Tyagi, G. Rekha, Sravanthi Reddy, Big Data and Behaviour Analytics, IET Book Chapter – “IET Handbook of Big Data Analytics Book Series: IET Book Series on Big Data, (2021).
24. Amit Kumar Tyagi, G. Rekha, N Sreenath, Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles, (2021).
25. Amit Kumar Tyagi, Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality, (2021).
26. Amit Kumar Tyagi, COMPUTATIONAL ANALYSIS AND DEEP LEARNING FOR MEDICAL CARE, Wiley Scrivener, (2021).
27. Sanjay Misra, Amit Kumar Tyagi, Artificial Intelligence for Cyber Security: Methods,Issues and Possible Horizons, Springer, (2021).
28. Misra, S., Amit Kumar Tyagi., Piuri, V., Garg, L, Artificial Intelligence for Cloud and Edge Computing, Springer, (2021).
29. Amit Kumar Tyagi, Data Science and Data Analytics Opportunities and Challenges, CRC Press, (2021).
30. V. Kanchana Devi, A Comprehensive Review on Reputation-Based Trust Management Framework for CPS, International Virtual Conference on Industry 4.0: Lecture Notes in Electrical Engineering, pp.400-415, (2021)
31. Aleksa Cuk, Timea Bezdan, Nebojsa Bacanin, Miodrag Zivkovic, K. Venkatachalam, Tarik A. Rashid, V. Kanchana Devi Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic, Data Science and Data Analytics: Opportunities and Challenges, pp.279-300, (2021)
32. T. Sudarson Rama Perumal, V. Muthumanikandan, S. Mohanalakshmi, Energy Efficiency Optimization in Clustered Wireless Sensor Networks via Machine learning, Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems, pp.19-29, (2021).
33. G. Sainath , S. Vignesh , S. Siddarth , and G. Suganya, Application of Neuroevolution in Autonomous Cars, Lecture notes in Electrical Engineering – Proceedings of International Virtual Conference on Industry 4.0, pp.301-312, (2021).
34. K. Karunamurthy, G. Suganya, M. Ananthi, T. Subha, Predicting Effectiveness of Solar Pond Heat Exchanger with LTES Containing CuO N, Applied Learning Algorithms for Intelligent IoT, Taylor & Francis Group, pp.348-368, (2021).
35. B. Vignesh and G. Suganya, Crop Models and Decision Support Systems Using Machine Learning, Data Science and Data Analytics Opportunities and Challenges, Taylor & Francis Group. pp.67-81, (2021).
36. Rajesh Kanna, and C.Vijayalakshmi, Touch and Voice-Assisted Multilingual, Communication Prototype for ICU Patients, Smart Healthcare System Design: Security and Privacy Aspects, pp-71-85, (2021).
37. K. Anita Davamani, C.R. Rene Robin, S. Amudha and L. Jani Anbarasi, Biomedical Image Segmentation by Deep Learning Methods, Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications, wiley, pp-132-154, (2021).
38. Ashoka Rajan R, Kumaran P, Privacy-Preserving in Fingerprint Templates Security Using Combinatorial Logic C, Springer International Conference on Soft Computing for Security Applications (2021), pp-953-968.
39. Kanchana Devi V., Kavya A., Umamaheswari E., Karmel A., Kavitha D., Shruthi D., IoT-SDWD: Internet of Things-Based Security Device for Women in Danger, Smart Innovation, Systems and Technologies (311-318), 2021
40. Kusum Lata Jain, Meenakshi Nawal, Shivani Gupta, Unique ECG AuthenticationSystem for Health Monitoring, Lecture Notes in Networks and Systems

Year 2020

  1. Indranil Saha, S Maheswari , (2020). Deep Learning for Voice Control Home Automation with Auto Mode. INTERNATIONAL CONFERENCE ON INVENTIVE RESEARCH IN COMPUTING APPLICATIONS : New Trends in Computational Vision and Bio-inspired Computing, pp1605-1614,9,978-3-030-41862-5.
  2. Vishakha Malik S, Maheswari, (2020). Deep learning Architectures for Medical Diagnosis. INTERNATIONAL CONFERENCE ON INVENTIVE RESEARCH IN COMPUTING APPLICATIONS, pp1569-1577,9,978-3-030-41862-5.
  3. Shaveta Malik, Archna M, Amit Kumar Tyagi, (2020). Blockchain in Clinical Trials. IGI GLOBAL, 15,8.
  4. M Shamila, Amit Kumar Tyagi, (2020). Genetic Data Analysis. IGI GLOBAL, 15,9,DOI: 10.4018/978-1-7998-2742-9.ch017.
  5. Amit Kumar Tyagi, (2020). Prediction Models. IGI GLOBAL, 20,9.
  6. Siddarth M, Varsha R, Amit Kumar Tyagi, (2020). Issues and Challenges (Privacy, Security, and Trust) in Blockchain-Based. IGI GLOBAL, 14,8.
  7. Jenila Livingston LM and Satapathy, Ashutosh and LGX, Agnel Livingston and Merlin Livingston LM, (2020). Blockchain Security Using Secure Multi-Party Computation. Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles, 178-195,9.
  8. Sandhya P. (Vellore Institute of Technology, Chennai, India), Aishwarya Madhav Mujumdar (Vellore Institute of Technology, Chennai, India) and Abhijit , (2020). Cognitive Computing and Its Applications. Analyzing Future Applications of AI, Sensors, and Robotics in Society, 47-68,9,ISBN13: 9781799834991.
  9. Satapathy, A., Jenila Livingston, L.M., (2020). OpenCLTM Implementation of Fast Frequency Domain Image Denoisification Kernels f. Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, 569–611(692),12,1876-1100 (IF 0.34)
  10. “Mrs.V.SathyaMr.Kirankumar ManivannanDr.V.VaniDr. Sridhar Chandrasekaran”, (2020). An obfuscation technique for malware detection and protection in sandboxing. Publication in Springer- Studies in Computational Intelligence (Q4-SCOPUS, CiteScore 1.3) Artificial Intelligence for Cyber Security-Methods, Issues and Possible horizons, 12.
  11. Aswathi Ravikumar and Harini Sriraman, (2020). Vulnerability Analysis of FPGA Through Side-Channel Attacks in Cloud. Springer Lecture Notes in Networks and Systems book series, 597-606(145),9,978-981-15-7344-6.
  12. Jasmine SG, Anbarasi LJ, Narendra M, Raj BE. , (2020). Augmented and Virtual Reality and Its Applications. InMultimedia and Sensory Input for Augmented, Mixed, and Virtual Reality (pp. 68-85). IGI Global, 68 – 85,12.
  13. V. Sabapathi K.P. Vijayakumar, (2020). A Study of Addiction Behavior for Smart Psychological Health Care System. Role of Edge Analytics in Sustainable Smart City Development: Challenges and Solutions, 257-272,7,9.78E+12.
  14. N.Sangeetha, X.Anita, R.Vijayarajan, (2020). Medical Image Watermarking: A Review on Wavelet-Based Methods. Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems, 203-221, 11(1),9,978-981-15-6140-5
  15. S. Geetha, L.Jani anbarasi ,Arya Vardhan Prasad, Aayush Gupta,Benson Edwin Raj, (2021). Augmented Reality Application: AR Learning Platform for Primary Education. InMultimedia and Sensory Input for Augmented, Mixed, and Virtual Reality (pp. 68-85). IGI Global, 118-133,1.
  16. Sathiya Narayanan,Nikshith Narayan Ramesh,Amit Kumar Tyagi,L. Jani Anbarasi,Benson Edwin Raj, (2021). Current Trends, Challenges, and Future Prospects for Augmented Reality and Virtu. Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality (pp. 68-85). IGI Global, 275-2811.
  17. Vergin Raja Sarobin M, Rukmani Panjanathan, and E. A. Mary Anita, (2021). Machine Learning based Intrusion Detection for Internet of Things Network Traff. Handbook of Research of Internet of Things and Cyber-Physical Systems An Integrative Approach to an Interconnected Future.
  18. Y. V. Akileswar Reddy, Ch. Ajay Kumar, P. Rukmani, and Sannasi Ganapathy, (2021). A New Compromising Security Framework for Automated Smart Homes Using VAPT. Handbook of Research of Internet of Things and Cyber-Physical Systems An Integrative Approach to an Interconnected Future.
  19. Sivakumar S., Rajalakshmi R., Kanna B.R, Prakash K.B., Karthikeyan C, (2020). Virtual Vision Architecture for VIP in Ubiquitous Computing. Technological Trends in Improved Mobility of the Visually Impaired., 145-179,1, ISBN : 978-3-030-16449-2.
  20. Balasubramanian, C., Geetha, S., VANET: Routing Protocols and Applications. United States – Lap Lambert Academic Publishing, 2020. (ISBN No. 978-620-0-49717-8)

Year 2019

  1. S. Geetha and Dr. Y. Asnath Victy Phamila , “Countering Cyber Attacks and Preserving the Integrity E76and Availability of Critical Systems” , IGI Global Publishers , 2019
  2. Justus Selwyn and V. Hepsiba Mabel , “Software Metrics for Object Relational Data Modeling” , LAMBERT Academic Publication , 2019
  3. Shriansh Srivastava, J Priyadarshini, Sachin Gopal, Sanchay Gupta, Har Shobhit Dayal , “Optical Character Recognition on Bank Cheques Using 2D Convolution Neural Network” , Applications of Artificial Intelligence Techniques in Engineering , 2019
  4. Vijayakumar V., Subramaniyaswamy V., Abawajy J., Yang L. , “Intelligent, smart and scalable cyberphysical systems ” , Journal of Intelligent and Fuzzy Systems , 2019
  5. Advance Computing and Informatics: The Emerging Context, P.K. Paul and Karmel A. ISBN NO:9789388879347, 2019
  6. S.R. Prabhu, Sreevallabh Chivukula, Aneesh , Aditya Mogadala, Rohit Ghosh & L.M. Jenila Livingston, “Big Data Analytics: Systems, Algorithms, Applications”, Springer publishers, 2019, DOI: https://doi.org/10.1007/978-981-15-0094-7_1, Print ISBN: 978-981-15-0093-0, Online ISBN: 978-981-15-0094-7 (SCOPUS indexed)

Year 2018

Maheswari R, Sheeba Rani, Gomathy , “Embedded Co-design for Real Time Operating System ” , LAMBERT Academic Publications , 2018

P.K. Paul, Neelanarayanan.V, Vijayakumar. V. and P. S. Aithal , “Cloud Computing & Big Data : A Handbook” , Handbook Series , 2018

P.K. Paul, Neelanarayanan.V, Vijayakumar. V. and P. S. Aithal , “INFORMATION TECHNOLOGY & SMARTER SYSTEMS IN INFORMATION AGE A Handbook” , Handbook Series , 2018

B. Rajesh Kanna , ” Development of Hypergraph based Techniques for Selected Image Engineering Applications” , Archers & Elevators Publishers, Bangalore , 2018

P.K. Paul, Neelanarayanan V., Vijayakumar V., P.S.Aitha. , “”CLOUD COMPUTING & BIG DATA”,A Handbook” , NEW DELHI PUBLISHERS , 2018

P.K. Paul Neelanarayanan V. A. Bhuimali & Vijayakumar V. , “INFORMATION TECHNOLOGY & SMARTER SYSTEMS IN INFORMATION AGE” , NEW DELHI PUBLISHERS New Delhi, Kolkata , 2018

V. Vijayakumar, Prof. D. Rekha and Prof. Xiao-Zhi Gao , “Special Issue on: Sensor Networks and Cloud Computing” , International Journal of Advanced Intelligence Paradigms , 2018

Year 2017

  1. Neela Narayanan V, “Grid and Cloud Computing”, Inderscience Publishers, 2017.
  2. Subbulakshmi T, “Secure Web Application Deployment using OWASP Standards: An expert way of Secure Web Application deployment”, Createspace Independent Pub, 2017.
  3. Subbulakshmi T, “Computer Network Algorithms Implementation Using Scilab”, Createspace Independent Pub, 2017.P
  4. Prof.R.Prabhakaran, G.Gowtham Raj, “Computing and Emerging Trends: A Handbook on Providing Cyber Security in Substation Automation System using Blowfish and Twofish Algorithm”, Renu Publishers, 2017.
  5. Gayathri Rajakumaran, Neelanarayanan Venkataraman, Kailash Selvaraj, Arunkumar Gopu, “Grid and Cloud Computing”, Renu Publishers, New Delhi, ISSN: 9789385502415, pp.1-139, 2017.

Year 2016

  1. Subbulakshmi T, “Handbook of Cloud Security Parameters: Real Time Measurements”, Shanlax Publications, 2016.
  2. Geetha, S., and Asnath Victy Phamila. “Combating Security Breaches and Criminal Activity in the Digital Sphere.” IGI Global, 2016. 1-300. Web. 25 Mar. 2016. doi:10.4018/978-1-5225-0193-0. (ISBN: 978-1-52-250193-0)
  3. S.Justus, V.Hepsiba Mabel, S.Geetha. Knowledge based Software Process Improvement. United States – Lap Lambert Academic Publishing, 2016. (ISBN No. 978-3-659-97717-6)

Year 2014

  1. Jagadeesh Kannan R, “Computer Programming”, Sri Maruthi Publishers, 2014.

Book Chapter Publications

Year 2024

  1. A. Mohan, R. Maheswari, S. S. Rani,(2024), Analysis and prediction of the usage of screen time to surmount COVID-19 using deep learning, Digital Analytics Applications for Sustainable Training and Education, pp. 331-353.
  2. S. Saraogi, S. Saraogi, Y. Asnath Victy Phamila, K. Kathirvelu, K, Neural networks and LDA-based machine learning framework for the early detection of breast cancer,.,Artificial Intelligence in Medicine, pp. 15-34. DOI: 10.1201/9781003369059-3.
  3. S.Kavileswarapu, N.A.Venkatraman, (2024), Comparison of Object Detection Techniques for Weed Detection in Lentil Fields, Smart Grids as Cyber Physical Systems: Artificial Intelligence, Cybersecurity, and Clean Energy for Next Generation Smart Grids, pp. 23-38. DOI: 10.1002/9781394261727.ch26.
  4. M.Suguna, D.Prakash, C.U.Om Kumar, M.Revathi, R.Kumar Dhanaraj, (2024), AI-based pest detection and recovery model for cyber-physical agricultural systems, Agri 4.0 and the Future of Cyber-Physical Agricultural Systems, pp. 237-256. DOI: 10.1016/B978-0-443-13185-1.00013-7.
  5. A.Sundarajan, S.Jaideepnath Anand, S.Ruthul Jindal, R.Maheswari, (2024), An Intelligent Smart Grid Switching System for an Efficient Load Balancing Through Machine Learning Models, Smart Grids as Cyber Physical Systems: Artificial Intelligence, Cybersecurity, and Clean Energy for Next Generation Smart Grids, pp. 111-122. DOI: 10.1002/9781394261727.ch7.
  6. J.Dey, D.D.Dhaval, D.Z.Amitkumar, K.Arockiasamy (2024), HELPIER – Empowering the Visually Impaired with Packaged Food Through OCR and Object Detection”, Smart Grids as Cyber Physical Systems: Artificial Intelligence, Cybersecurity, and Clean Energy for Next Generation Smart Grids, pp. 1-16. DOI: 10.1002/9781394261727.ch24.
  7. S.Gupta, R.Vashist, R.Sahni, K.Dwivedi, S.M.Penumala, K.Arockiasamy, (2024), Recommending Medical Specialist and Detecting Point of Discomfort Using Computer Vision and Machine Learning, Smart Grids as Cyber Physical Systems: Artificial Intelligence, Cybersecurity, and Clean Energy for Next Generation Smart Grids, pp. 337-347. DOI: 10.1002/9781394261727.ch21.
  8. J.L.Febin Daya, H.Sanyal, P.Pugazhendiran, B.Parandhaman, (2024), Reduction of Battery Life Deterioration Using Fast Charging Algorithms for Hybrid Electric Vehicles – A Review, Smart Grids as Cyber Physical Systems: Artificial Intelligence, Cybersecurity, and Clean Energy for Next Generation Smart Grids, pp. 277-287. DOI: 10.1002/9781394261727.ch42.
  9. R.Narayanan, N.A.Ganesh, (2024), A Comprehensive Review of Metaheuristics for Hyperparameter Optimization in Machine Learning, Metaheuristics for Machine Learning: Algorithms and Applications, pp. 37-72. DOI: 10.1002/9781394233953.ch2.
  10. A.Sasikumar, L.Ravi, M.Devarajan, A.Selvalakshmi, V.A.Subramaniyaswamy, (2024), A Lightweight CNN Architecture for Prediction of Plant Diseases, Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications, pp. 203-222. DOI: 10.1002/9781394214068.ch11.
  11. V.Sonai, I.Bharathi, M.Uchimuthu, (2024), A Machine Learning Perspective of Optimal Data Transmission in Wireless Sensor Networks (WSN), Signals and Communication Technology, Vol. F2556, pp. 169-175. DOI: 10.1007/978-3-031-47942-7_15.
  12. C.A.Rajput, L.Shanmugam, K.Parkavi, (2024), A Survey of Computer-Aided Diagnosis Systems for Breast Cancer Detection, Metaheuristics for Machine Learning: Algorithms and Applications, pp. 73-94. DOI: 10.1002/9781394233953.ch3.
  13. G.B.Mohammed, S.Selvarajan, A.R.Kumar, K.Sangeetha, A.O.Khadidos, S.Vatchala, (2024), An analytical framework for the industrial internet of things (IIoT): Importance, recent challenges, and enabling technologies, Industry Automation: The Technologies, Platforms and Use Cases, pp. 1-23.
  14. J.Mala, A.P.Reynold, (2024), Analysis of AI Embedded Block Chain Security Model for Healthcare and Financial Transactions, Blockchain-based Internet of Things: Opportunities, Challenges and Solutions, pp. 125-145. DOI: 10.1201/9781003407096-8.
  15. R.Shankar, N.Ganesh, (2024), Anomaly Identification in Surveillance Video Using Regressive Bidirectional LSTM with Hyperparameter Optimization, Metaheuristics for Machine Learning: Algorithms and Applications, pp.135-148. DOI: 10.1002/9781394233953.ch5.
  16. M.G.Teja, L.Ravi, M.Devarajan, V.Subramaniyaswamy, (2024), Automating ESG Score Rating with Reinforcement Learning for Responsible Investment, Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications, pp. 253-281. DOI: 10.1002/9781394214068.ch14.
  17. A.Sasikumar, L.Ravi, M.Devarajan, H. Kotb, V.Subramaniyaswamy, (2024), Cognitive Computing System-Based Dynamic Decision Control for Smart City Using Reinforcement Learning Model, Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications, pp. 29-50. DOI: 10.1002/9781394214068.ch2.
  18. M.Suguna, R.Logesh, C.U.Om Kumar, (2024), Fuzzy-Based Efficient Resource Allocation and Scheduling in a Computational Distributed Environment, Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications, pp. 191-202. DOI: 10.1002/9781394214068.ch10.
  19. S.Selvarajan, G.B.Mohammed, M.S.Yoosuf, D.Shivaprasad, M.Hedabou, C.KYogesh, (2024), Internet of things and cybersecurity mechanism for industrial automation systems, Industry Automation: The Technologies, Platforms and Use Cases, pp.305-333.
  20. P.Saravanan, V.Indragandhi, R.Elakkiya, V.Subramaniyaswamy, (2024), Investigation of Feature Fusioned Dictionary Learning Model for Accurate Brain Tumor Classification, Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications, pp. 223-237. DOI: 10.1002/9781394214068.ch12.
  21. I.Anandaraj, K.Ramu, (2024), Machine Learning-Based Intrusion Detection System with Tuned Spider Monkey Optimization for Wireless Sensor Networks, Metaheuristics for Machine Learning: Algorithms and Applications, pp.163-178. DOI: 10.1002/9781394233953.ch7.
  22. D.Kavitha, S.Venkatraman, C.R.Karthik, N,S,Nair, (2024), Machine learning-based sentiment analysis of twitter using logistic regression, Advancing Software Engineering Through AI, Federated Learning, and Large Language Models, pp. 308-319. DOI: 10.4018/979-8-3693-3502-4.ch020.
  23. V.Sonai, I.Bharathi, (2024), Packet Classification Using Improved Random Forest Algorithm, Signals and Communication Technology, Vol. F2556, pp. 157-168. DOI: 10.1007/978-3-031-47942-7_14
  24. K.Thangaramya, G.Logeswari, G.Sudhakaran, R.Aadharsh, S.Bhuvaneshwar, R.Dheepakraaj, P.Sunny, (2024), Predicting Optimal Moves in Chess Board Using Artificial Intelligence, Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications, pp. 75-101. DOI: 10.1002/9781394214068.ch4.
  25. G.Kanimozhi, Karmel Arockiasamy, (2024) “Blockchain technology for hybrid AC-DC microgrids”, Next-Generation Cyber-Physical Microgrid Systems: A Practical Guide to Communication Technologies for Resilience, pp. 233-258. DOI: 10.1016/B978-0-443-22187-3.00010-2.
  26. A.Sudha, C.M.Naga Sudha, A.Shajina, (2024) “Detecting and mitigating cyber-physical attacks in microgrids to ensure resilient and sustainable communities”, Next-Generation Cyber-Physical Microgrid Systems: A Practical Guide to Communication Technologies for Resilience, pp. 215-231. DOI: 10.1016/B978-0-443-22187-3.00009-6.
  27. B.Shashi, M. Dhanalakshmi, K. Tamilarasi, S. Saravanan, G. Sujatha, S. Boopathi, (2024) “Fog computing-based framework and solutions for intelligent systems: Enabling autonomy in vehicles”, Computational Intelligence for Green Cloud Computing and Digital Waste Management, pp. 330-356.DOI: 10.4018/979-8-3693-1552-1.ch017.
  28. V. Vasugi, M. Helen Santhi, G. Malathi, (2024) “Global seismic damage assessment of RC framed buildings using machine learning techniques”, Artificial Intelligence Applications for Sustainable Construction, pp. 389-404.DOI: 10.1016/B978-0-443-13191-2.00011-0.
  29. N.Karthikeyan, N.Pooranam, D.Surendran, M.Sivakumar, (2024) “Lossless medical image compression and noise removal using deep learning models”, Medical Imaging Informatics: Machine learning, deep learning and big data analytics, pp. 65-87.
  30. Janani Thambidurai, (2024) “Third Hankel Determinants H3(1) and H3(2) for Bi-starlike Functions”, Trends in Mathematics, Vol. F2326, pp. 327-338. DOI: 10.1007/978-3-031-37538-5_32.
  31. Geetha, T. Trivedi, (2024), An Ai-Driven Multi-Management System For Medical Resource Allocation Providing Personalized Healthcare Services, Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services, pp. 121-136, DOI: 10.1201/9781003371250-8.
  32. Rukmani, G.S. Jasmine, M.V.R. Sarobin, L.J. Anbarasi, S. Datta, (2024), An Automate Home Security System Using Secure Message Queue Telemetry Transport Protocol, Automated Secure Computing for Next-Generation Systems, pp. 275-293.
  33. K. Tyagi, A. K. Mishra, N. Vedavathi, V. Kakulapati, S. A. Sajidha, Futuristic Technologies for Smart Manufacturing: Research Statement and Vision for the Future, Automated Secure Computing for Next-Generation Systems, pp. 415-441.
  34. Kalyani, A. K. Mishra, D. Harish, A. K Tyagi, S. A. Sajidha, P. Shashank, (2024) Detection of Bank Fraud Using Machine Learning Techniques, Automated Secure Computing for Next-Generation Systems, pp. 225-241.
  35. Venkatachalam, L. Shanmugam, K. Parkavi, D. Satheeswari, (2024) IoT Next Gen and the World of Big Data Computing, Big Data Computing: Advances in Technologies, Methodologies and Applications, pp. 1-16, DOI: 10.1201/9781032634050-1.

Year 2023

  1. E. Umamaheswari, V. Kanchana Devi, A. Karmel, A. David Maxim Gururaj, N. Bacanin, An exploratory review on Internet of Things in healthcare applications, Technologies for Healthcare 4.0: From AI and IoT to blockchain, 2023.
  2. A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi, M. Muthukannan, Analysis of Deep Learning-Based Approaches for Spam Bots and Cyberbullying Detection in Online Social Networks, AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications.
  3. A. Ravikumar, H. Sriraman, Preserve Privacy-HD: A Privacy-Preserving Distributed Framework for Health Data, Privacy Preservation of Genomic and Medical Data.
  4. N.C. Ashvath, P. Vasudevan, R. Maheswari, R. Parvathi, V. Pattabiraman, Real-World Estimation of Malaria Prevalence from Genome of Vectors and Climate Analysis, Privacy Preservation of Genomic and Medical Data.
  5. Nair M.M.; Tyagi A.K., “Blockchain technology for next-generation society: Current trends and future opportunities for smart ERA”, Blockchain Technology for Secure Social Media Computing, 2023
  6. Josiga S.; Maheswari R.; Subbulakshmi T., “Design of Fuzzy Logic-Based Smart Cars Using Scilab”, Fuzzy Logic Applications in Computer Science and Mathematics, 2023.
  7. Valarmathi P.; Amma N.G.B.; Bhasin V., “A transfer learning approach for detecting plant leaf diseases with convolutional neural networks”, Machine Learning and Deep Learning for Smart Agriculture and Applications, 2023.
  8. Kindra K.; Bhuvaneswari A.N.G., “Crop prediction for smart agriculture using ensemble of classifiers”, Machine Learning and Deep Learning for Smart Agriculture and Applications, 2023.
  9. Krishna G.C.P.; Praveen J.I.R., “Exploring the ethereum blockchain: An introduction to blockchain technology”, Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies, 2023.
  10. Deepan G.S.; Subbulakshmi T., “Financial Planning and Decision Making for Students Using Fuzzy Logic”, Fuzzy Logic Applications in Computer Science and Mathematics, 2023.
  11. Shrivastava S.; Tyagi A.K, “Revolutionizing Modern Automated Technology with WEB 3.0”, Robotic Process Automation, 2023.
  12. Sharma S.; Menon S.C.; Tyagi A.K, “Robots, Cyborgs, and Modern Society: Future of Society 5.0”, Robotic Process Automation, 2023.
  13. Jaiswal P.; Tyagi A.K., “Security and Privacy of Blockchain-Based Robotics System”, Robotic Process Automation, 2023.
  14. Harish R.; Menon S.C.; Tyagi A.K., “The Role of Artificial Intelligence, Blockchain, and Internet of Things in Next Generation Machine Based Communication”, Robotic Process Automation, 2023.
  15. Arun A.S., Subhash V.P.G., Shridevi S., Fake News Detection in Mainstream Media Using BERT,  Springer, 2023
  16.  Datta S., Naruka K.S., Sajidha S.A., Nisha V.M., Ragala R., Sanskriti, A Distributed E-Commerce Site Implementation Using Block Chain, Springer, 2023
  17.  Subakkar A., Graceline Jasmine S., Jani Anbarasi L., Ganesh J., Yuktha Sri C.M., An Analysis on Tesla’s Stock Price Forecasting Using ARIMA Model, Springer, 2023
  18.  Sathish S., Boovaraghavan A., Hashwanth S., Anbarasi L.J, Exploring the Impact of Indian Revenues During COVID-19 Using Social Network Analysis, Springer, 2023
  19. Maheswari R., Ganesan R., Venusamy K., A Smart WeeDrone for Sustainable Agriculture, Internet of Drones: Applications, Opportunities, and Challenges.
  20. Mattins R.F., Vasudevan P., Srivarshan S., Maheswari R., Kanagraj V., Medication extender drone using coppeliasim, Computational Health Informatics for Biomedical Applications, 2023.
  21. Pattabiraman V., Parvathi R., Heart Disease Prediction Desktop Application Using Supervised Learning, Translating Healthcare Through Intelligent Computational Methods, Springer 2023
  22. Sai D.Y., Tyagi A.K., Introduction to Smart Healthcare: Healthcare Digitization, 6G-Enabled IoT and AI for Smart Healthcare 2023
  23. Sridevi S., Kanimozhi T., Bhattacharjee S., Reddy S.S., Shahwar D., Hybrid Quantum Classical Neural Network-Based Classification of Prenatal Ventricular Septal Defect from Ultrasound Images, ICCIDE 2023
  24. Dangey R., Tandon A., Tyagi A.K., Emerging Internet of Things (IoTs) Scenarios Using Machine Learning for 6G Over 5G-Based Communications, 2023
  25. Sakthivel V., Patel S., Lee J.W., Prakash P., Drone delivery, Wiley Online Library, 2023
  26. Sakthivel V., Suriya E., Lee J.W., Prakash P., AI-based smart surveillance for drowning and theft detection on beaches using drones, Wiley Online Library, 2023
  27. Fating H.; Narawade A.; Satapathy S.K.; Mishra S., Detection of Malicious Emails and URLs Using Text Mining, Wiley Online Library, 2023
  28. Mahesh A.; Seshadri P.; Mishra S.; Satapathy S.K., Detection of Phishing URLs Using Machine Learning and Deep Learning Models Implementing a URL Feature Extractor, Wiley Online Library, 2023
  29. Cynthia J.; Sakthipriya G.; Sudhahar J.C.; Suguna M., Intelligent Transportation System: A Review of VANET Applications for Urban Areas, Technologies, and Protocols. Taylor & Francis Group, 2023
  30. Prabhakar Rao B.V.A.N.S.S., Intelligent Coconut Harvesting System, IoT and Analytics in Renewable Energy Systems, 2023
  31. Chakrapani B.; Chakrapani K.; Kavitha T.; Safa M.I.; Kempanna M., Sustainable smart energy systems and energy preservation strategies in intelligent transportation sectors, IEEE Explore, 2023
  32. Rao B.V.A.N.S.S.P.; Singh R.K., IoT- Based Intelligent Garbage Monitoring Management System to Catalyse Farming, IoT and Analytics in Renewable Energy Systems, 2023.
  33. Renugadevi P.; Maheswari R., Smart microgrid in hospital community to enhance public health, Smart Grids for Smart Cities, 2023.
  34. Arockiasamy K.; Kanimozhi G.; Singh D, Internet of Things- Based Toddler Security Monitoring and Management System, IoT and Analytics in Renewable Energy Systems, 2023.
  35. Dixit Y.; Mohanty G.; Arockiasamy K., Adaptive Traffic Control, IoT and Analytics in Renewable Energy Systems, 2023.
  36. Jeya Mala D.; Padmavathy T.V.; Pradeep Reynold A., IntelliMedAssist: Integration of AI and ML for Secured Healthcare Assistance in MIoT Applications, Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications, 2023

Year 2022

  1. Vedhapriyavadhana, Ignisha Rajathi,Girija, Jayalakshmi.S.L, Johny Elton, Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond, Elsevier,2022.
  2. S. Ackshaya Varshini T. Aghil G. Anuradha Y. Ashwin Ramanathan G. Suganya K. Karunamurthy, IoT-Based Auto-Disinfectant Sprinkler System for Large Enclosed Spac, Lecture Notes in Electrical Engineering, 2022.
  3. Harini S, Aswathy Ravikumar, Nailesh Keshwani, Malware Prediction Analysis Using AI Techniques with the Effective Preprocessing, Innovative Data Communication Technologies and Application, 2022.
  4. Jothi, Wearable Fall-Detection Using Deep Embedded Clustering Algorithm, Algorithms for Intelligent Systems. Springer, Singapore, 2022.
  5. Sarobin, M.V.R., Rukmani, P. and Anita, E.M, Machine Learning-Based Intrusion Detection for Internet of Things Network Traffic, Taylor and Francis, Handbook of Research of Internet of Things and Cyber-Physical Systems, 2022.
  6. Ashwathan,Victy Phamila Y. Asnath,S. Geetha,K. Kalaivani, Object Detection in IoT-Based Smart Refrigerators Using CNN, The Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance, 2022.
  7. Vignesh Baalaji,M. Vergin Raja Sarobin,L. Jani Anbarasi,S. Graceline Jasmine, P. Rukmani, An Extensive Survey of Applications of Advanced Deep Learning Algorithms on Dete, Advanced Analytics and Deep Learning Models, 2022.
  8. Asha, Kanchana Devi V. and G. Sahaja Vaishnavi, IoT-Based Auto-Disinfectant Sprinkler System for Large Enclosed Space, Handbook of Intelligent Healthcare Analytics: Knowledge Engineering with Big Data Analytics, 2022.
  9. Varshini, K.S.A., Aghil, T., Anuradha, G., Ramanathan, Y.A., Suganya, G., Karunamurthy, K., IoT-Based Auto-Disinfectant Sprinkler System for Large Enclosed Space, Artificial Intelligence and Technologies. Lecture Notes in Electrical Engineering, 2022.
  10. Muthumanikandan, Prashant Singh & Rithwik Chithreddy, Cloud-Based Face and Face Mask Detection System, First International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT 2021), 2022.
  11. Mishra S., Tyagi A.K, The Role of Machine Learning Techniques in Internet of Things-Based Cloud Applications, Springer, 2022
  12. Ganesan R., Devi T., Kumar S.R., Gayathri N., Securing Healthcare Information Using Blockchain Technology: A Deep Insight, Springer, 2022
  13. Rajalakshmi R., Reddy P., Khare S., Ganganwar V., Sentimental Analysis of Code-Mixed Hindi Language, Springer, 2022
  14. Mercy Nesa Rani P., Thangkhiew P.L., An Overview of Different Approaches for Ternary Reversible Logic Circuits Synthesis Using Ternary Reversible Gates with Special Reference to Virtual Reality, Springer, 2022
  15. Abinash V., Meghanth S., Rakesh P., Sajidha S.A., Nisha V.M., Muralidhar A., An Efficient Transfer Learning-Based CNN Multi-Label Classification and ResUNET Based Segmentation of Brain Tumor in MRI, Taylor & Francis, 2022
  16. Maheswari S. Web Service User Diagnostics with Deep Learning Architectures, Taylor & Francis, 2022
  17. Ramchander V., Richa, A Comparative Analysis of Stock Value Prediction Using Machine Learning Technique, Taylor & Francis, 2022
  18. Nagarajan S.K., Geetha N., Mishra A., Kumar R., Long short-term memory-based neural networks in an AI music generation platform, IGI Global, 2022
  19. Rajalakshmi R., Shinow A.B., Murali A., Nair K.S., Bhuvana J., An Efficient Convolutional Neural Network with Image Augmentation for Cassava Leaf Disease Detection, Taylor & Francis, 2022
  20. Purwar S., Tyagi A.K., Recent Advancement in Deep Learning: Open Issues, Challenges, and a Way Forward, Taylor & Francis, 2022
  21. Pattabiraman V., Maheswari R., Image to Text Processing Using Convolution Neural Networks, Taylor & Francis, 2022
  22. Shah A., Panjanathan R., Jasmine G., Rajathi C., Narendra M., Raj B.E., IoT-Based Home Intrusion Detection System for Enhanced Smart Environment, Springer, 2022
  23. Malik S., Tyagi A.K., Mahajan S., Architecture, Generative Model, and Deep Reinforcement Learning for IoT Applications: Deep Learning Perspective, Springer, 2022
  24. Singh R.K., Prabhakar Rao B.V.A.N.S.S., Sivabalakrishnan M., Guidance System for Smart Building Using Li-F, Taylor & Francis, 2022
  25. Sampath A., Kumaran B., Prabhakaran V., Kiliroor C.C., Pandemic Simulation and Contact Tracing: Identifying Super Spreaders, Springer, 2022
  26. Kute S.S., Tyagi A.K., Malik S., Deshmukh A., Internet-Based Healthcare Things Driven Deep Learning Algorithm for Detection and Classification of Cervical Cells, Springer, 2022
  27. Deshpande S., Aggarwal A., Ponraj A.S., Jackson J.C., IoT-Based Smart Hand Sanitizer Dispenser (COVID-19), Taylor & Francis, 2022
  28. Kute S., Shreyas Madhav A.V., Tyagi A.K., Deshmukh A., Authentication Framework for Healthcare Devices Through Internet of Things and Machine Learning, Springer, 2022
  29. Pattabiraman V., Maheswari R., AI-Based Classification and Detection of COVID-19 on Medical Images Using Deep Learning, Taylor & Francis, 2022
  30. Jani Anbarasi, Modigari Narendra, S. Sathiya Narayanan Machine Learning Based IoT Models and Analysis Security and Privacy-Preserving Techniques in Wireless Robotics, 2022
  31. A Jothi Prabha, R Bhargavi, B. Harish, An Efficient Machine Learning Model for Prediction of Dyslexia from Eye Fixation, New Approaches in Engineering Research
  32. S. J. Agasba Saroj, B. Saleena, B. Prakash, Knowledge Engineering Challenges in Smart Healthcare Data Analysis System, Handbook on Intelligent Healthcare Analytics, 2022
  33. Dr Shola Usharani & Dr Karmel A, AI Enabled IoT for Electrification and Connected Transportation, Springer, 2022

Year 2021

  1. S. Geetha, L.Jani anbarasi, Arya Vardhan Prasad, Aayush Gupta, Benson Edwin Raj, (2021). Augmented Reality Application: AR Learning Platform for Primary Education. In Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality (pp. 68-85), 118-133. IGI Global.
  2. Sathiya Narayanan, Nikshith Narayan Ramesh, Amit Kumar Tyagi, L. Jani Anbarasi, Benson Edwin Raj, (2021). Current Trends, Challenges, and Future Prospects for Augmented Reality and Virtual Reality, Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality (pp. 68-85), 275-281. IGI Global.

Year 2020

  1. N.Sangeetha, X.Anita, R.Vijayarajan, (2020). Medical Image Watermarking: A Review on Wavelet-Based Methods. Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems, 1(11), 203-221, 978-981-15-6140-5.
  2. Indranil Saha, S Maheswari (2020). Deep Learning for Voice Control Home Automation with Auto Mode. INTERNATIONAL CONFERENCE ON INVENTIVE RESEARCH IN COMPUTING APPLICATIONS: New Trends in Computational Vision and Bio-inspired Computing, 978-3-030-41862-5.
  3. Vishakha Malik S. Maheswari (2020). Deep learning Architectures for Medical Diagnosis. INTERNATIONAL CONFERENCE ON INVENTIVE RESEARCH IN COMPUTING APPLICATIONS, 978-3-030-41862-5.
  4. Shaveta Malik, Archna M, Amit Kumar Tyagi (2020). Blockchain in Clinical Trials. IGI GLOBAL.
  5. M Shamila, Amit Kumar Tyagi (2020). Genetic Data Analysis. IGI GLOBAL, DOI: 10.4018/978-1-7998-2742-9.ch017.
  6. Amit Kumar Tyagi (2020). Prediction Models. IGI GLOBAL.
  7. Siddarth M, Varsha R, Amit Kumar Tyagi (2020). Issues and Challenges (Privacy, Security, and Trust) in Blockchain-Based. IGI GLOBAL.
  8. Jenila Livingston LM and Satapathy, Ashutosh and LGX, Agnel Livingston and Merlin Livingston LM, (2020). Blockchain Security Using Secure Multi-Party Computation. Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles, 178-195, 9781799832973.
  9. Sandhya P. (Vellore Institute of Technology, Chennai, India), Aishwarya Madhav Mujumdar (Vellore Institute of Technology, Chennai, India) and Abhijit, (2020). Cognitive Computing and Its Applications. Analyzing Future Applications of AI, Sensors, and Robotics in Society, 47-68, 9781799834991.
  10. Satapathy, A., Jenila Livingston, L.M., (2020), OpenCLTM Implementation of Fast Frequency Domain Image Denoisification Kernels for Parallel Environments. Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, 692(0), 569–611, 1876-1100.
  11. Mrs.V.Sathya Mr.Kirankumar Manivannan Dr.V.Vani Dr. Sridhar Chandrasekaran, (2020). An obfuscation technique for malware detection and protection in sandboxing. Publication in Springer- Studies in Computational Intelligence (Q4-SCOPUS, CiteScore 1.3) Artificial Intelligence for Cyber Security-Methods, Issues and Possible horizons.
  12. Aswathi Ravikumar and Harini Sriraman, (2020). Vulnerability Analysis of FPGA Through Side-Channel Attacks in Cloud. Springer Lecture Notes in Networks and Systems book series, 145(0), 597-606, 978-981-15-7344-6.
  13. Jasmine SG, Anbarasi LJ, Narendra M, Raj BE, (2020). Augmented and Virtual Reality and Its Applications. InMultimedia and Sensory Input for Augmented, Mixed, and Virtual Reality. IGI Global, 68 – 85.
  14. V. Sabapathi K.P. Vijayakumar, (2020). A Study of Addiction Behaviour for Smart Psychological Health Care System. Role of Edge Analytics in Sustainable Smart City Development: Challenges and Solutions, 257-272, 978-111-96-8132-8.
  15. Sathis kumar B, Sountharrajan S, Karthiga M, Nandhini S S, Suganya E “On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machine Learning Algorithms”,Business Intelligence for Enterprise Internet of Things, Springer. (Accepted) May 2020.
  16. Deepa S.R, D.Rekha, Bacterial Foraging Optimization-Based Clustering in Wireless Sensor Network by Preventing Left-Out Nodes, In: Mandal J., Sinha D. (eds) Intelligent Computing Paradigm: Recent Trends. Studies in Computational Intelligence, Springer nature, Singapore, vol 784. pp. 43-58, 2020.
  17. Patil P.R., Sivagami M, Forest Cover Classification Using Stacking of Ensemble Learning and Neural Networks, Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing, vol 1056. Springer, Singapore, 2020
  18. Sivakumar S., Rajalakshmi R., Prakash K.B., Rajesh Kanna.B, Karthikeyan C. (2020) Virtual Vision Architecture for VIP in Ubiquitous Computing. In: Paiva S. (eds) Technological Trends in Improved Mobility of the Visually Impaired. EAI/Springer Innovations in Communication and Computing. Springer, 145-179, First Online, 02 July 2019, DOI: https://doi.org/10.1007/978-3-030-16450-8_7, 2020, Scopus
  19. Laby K., Sudhakar M., Janaki Meena M., Syed Ibrahim S.P. (2020) Applications of Memetic Algorithms in Image Processing Using Deep Learning. In: Hemanth D., Kumar B., Manavalan G. (eds) Recent Advances on Memetic Algorithms and its Applications in Image Processing. Studies in Computational Intelligence, vol 873. Springer, Singapore.
  20. C. SweetlinHemalatha, Vaidehi V(2018) ‘A Pattern Mining Approach for Wearable Sensor Based Remote Health Care’ in the Book titled ‘ Developments and Trends in Intelligent Technologies and Smart Systems’ A volume in Advances in Computational Intelligence and Robotics (ACIR) Book Series, IGI Global Publisher.
  21. Vaidehi, V., Pathak, R., Bhargavi, R. C., Ganapathy, K., Hemalatha, C. S., Fathima, A. A., … & Fernando, X. (2018). Enhanced Complex Event Processing Framework for Geriatric Remote Healthcare. In Handbook of Research on Investigations in Artificial Life Research and Development (pp. 348-379). IGI Global.
  22. V. Pattabiraman and R. Parvathi,  “Social Network Anlaysis using Graph Theory” Published by NOVA Science Publishers Inc., USA. (Published)
  23. Pattabiraman.V,Parvathi.R “Dimensionality Reduction With Multi-Fold Deep Denoising Autoencoder” in Deep Learning Techniques and Optimization Strategies in Big Data Analytics,pages 154-165,,ISBN13: 9781799811923,DOI: 10.4018/978-1-7998-1192-3, IGI Global publications.
  24. Pattabiraman V., Parvathi R, “Automation of Assets Estimation for Accurate Tax Optimization Through Web Based Spatial Data Mining Techniques” in Recent Advances in Computational Intelligence [pp 215-232| Online ISBN978-3-030-12500-4DOI https://doi.org/10.1007/978-3-030-12500-4_14, Springer Publication.
  25. Parvathi R. & Pattabiraman V ,A Similarity-Based Object Classification Using Deep Neural Networks in Handbook of Research on Deep Learning Innovations and Trends,(pages 197-219) ISBN13: 9781522578628|ISBN10: 1522578625|EISBN13: 9781522578635, IGI Global (Scopus)
  26. Bhuvana Janita, R. Jagadeesh Kannan, “Enhancing Security in Smart Homes-A Review”, Intelligent Computing in Engineering, Advances in Intelligent Systems and Computing, Springer Verlag, pp 361 – 369, April 2020. (SCOPUS)
  27. M. Gayathri, R. Jagadeesh Kannan, “Construction of Domain Ontology for Traditional Ayurvedic Medicine”, Intelligent Computing in Engineering, Advances in Intelligent Systems and Computing, Springer Verlag, pp 417-426, April 2020. (SCOPUS)
  28. S. Shanthi, R. Jagadeesh Kannan, “Non-linear Correction of Transient Authentication System for Cloud Security”, Intelligent Computing in Engineering, Advances in Intelligent Systems and Computing, Springer Verlag, pp 379 -386, April 2020. (SCOPUS)
  29. AnujaNegi, Shubham Sharma, J Priyadarshini“Gini index and entropy-Bazedevaluation : A retrospective study and proposal of evaluation method for image segmentation” , Lecture notes in electrical engineering, vol (642), 239-248, 2020.
  30. Jenila Livingston L.M, AshutoshSatapathy, Merlin L.L.M &Agnel Livingston L.G.X, Blockchain Security using Secure Multi-Party Computation, Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles(081119-105154), 2020, IGI Global publisher.

Year 2019

1. Shridevi S., Saleena B. and Viswanathan V. “Semantic Technologies for Medical Knowledge Representation”,Computer Applications in Drug Discovery and Development,pp- 260,ISSN: 2327-9354, Jan 2019
2. P.Punithavathi, S.Geetha, “Digital Healthcare Security Issues”, Countering Cyber Attacks and Preserving the Integrity and Availability of Critical Systems, IGI Global, Pennsylvania, USA. , Feb. 2019. doi: 10.4018/978-1-5225-8241-0.ch016. (ISBN: 9781522582410).
3. J Hemalatha, MK Kavitha Devi, S Geetha, “Performance Analysis of Image Denoising with Curvelet Transform in Detecting the Stego Noise”, Innovations in Computer Science and Engineering, Springer, Singapore, pp. 445 – 453, 2019. https://doi.org/10.1007.978-981-10-8201-6_50.
4. Suseela G, Asnath Victy Phamila Y, Visual Sensor Networks: Critical Infrastructure Protection, Source Title: Censorship, Surveillance, and Privacy: Concepts, Methodologies, Tools, and Applications, IGI Global, DOI: 10.4018/978-1-5225-7113-1.ch027, 2019
5. Siva Vignesh, B. Rajesh Kanna, “AWS Infrastructure Automation and Security Prevention Using DevOps”, Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing, Volume 1056, 2020, 537-549, Springer, Singapore, DOI:/10.1007/978-981-15-0199-9_46, 2019.
6. B. Rajesh Kanna, “Secured Information Exchange Using Haptic Codes.” Countering Cyber Attacks and Preserving the Integrity and Availability of Critical Systems. IGI Global, 2019. 267-274. Web. 16 May. 2019. doi:10.4018/978-1-5225-8241-0.ch014,2019.
7. Suseela G, Asnath Victy Phamila Y, Security Framework for Smart Visual Sensor Networks, Source Title: Countering Cyber Attacks and Preserving the Integrity and Availability of Critical Systems, IGI Global, |Pages: 23, DOI: 10.4018/978-1-5225-8241-0.ch012 , 2019
8. Dr. Sandhya P, Mahek Kantesaria,Named Entity Recognition in Document Summarization,Trends and Applications of Text Summarization Techniques, pp.125-149,ISBN:9781522593737, August, 2019.
9. M Sivabalakrishnan, R Menaka, S Jeeva ,Smart Video surveillance Systems and Identification of Human Behavior Analysis, Countering Cyber Attacks and Preserving the Integrity and Availability of Critical Systems, pp. 34-50, May 2019.
10. M Selvi, K Thangaramya, MS Saranya, K Kulothungan, S Ganapathy, A Kannan, “Classification of Medical Dataset Along with Topic Modeling Using LDA”, Nano-electronics, Circuits and Communication Systems, pp. 1-11, January 2019.
11. Vetrivelan Pandu, Jagannath Mohan, and TS Pradeep Kumar, Network Intrusion De- tection and Prevention Systems for Attacks in IoT Systems, IGI Global, 2019.

12. TS Pradeep Kumar, A Private Cloud-Based Smart Learning Environment Using Moodle for Universities, IGI Global, 2019.

13. R. Maheswari, Recommendation Model based on Expiry Date of Product Using Big Data Analytics”. Publisher: Taylor & Francis, Accepted on 22-12-2019, in press.

14. Gopinath Palaniappan, Balaji Rajendran, S Sangeetha, V NeelaNarayanan, “Techniques for Analysis of Mobile Malware”, pp. 193-210, “Countering Cyber Attacks and Preserving the Integrity and Availability of Critical Systems”, IGI Global, 2019
15. Prabha, A. J., &Bhargavi, R. (2019). Prediction of Dyslexia Using Machine Learning—A Research Travelogue. In Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems (pp. 23-34). Springer, Singapore.
16. Pattabiraman V., Parvathi R,”Automation of Assets Estimation for Accurate Tax Optimization Through Web Based Spatial Data Mining Techniques” in Recent Advances in Computational Intelligence [pp 215-232| Online ISBN978-3-030-12500-4DOI https://doi.org/10.1007/978-3-030-12500-4_14, Springer Publication
17. Parvathi R. & Pattabiraman V ,A Similarity-Based Object Classification Using Deep Neural Networks in Handbook of Research on Deep Learning Innovations and Trends,(pages 197-219) ISBN13: 9781522578628|ISBN10: 1522578625|EISBN13: 9781522578635, IGI Global (Scopus)
18. Pattabiraman V., Parvathi R,”Dimensionality Reduction With Multi-Fold Deep Denoising Autoencoder” in Deep Learning Techniques and Optimization Strategies in Big Data Analytics, ISBN13: 9781799811923|ISBN10: 1799811921|EISBN13: 9781799811947 (pages 154-165),IGI Global (Scopus)
19. Karande, Shubham, and L. Shyamala. “Prediction of Employee Turnover Using Ensemble Learning.” In Ambient Communications and Computer Systems, pp. 319-327. Springer, Singapore, 2019.

20. RS Nancy Noella, J Priyadarshini ,“Efficient Computer-Aided Diagnosis of Alzheimer’s Disease and Parkinson’s Disease—A Survey”. In: Nath V., Mandal J. (eds) Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, vol 511, pp: 53-64. 2019.Springer, Singapore.
20.

21. Agyeya O., Singh P., Prasad S., Raj S., Thomas Abraham J.V. “Performance Evaluation of Guest Operating System Following Obliteration of Pre-installed Features”. In: Chaki N., Devarakonda N., Sarkar A., Debnath N. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 28. Springer, Singapore, 2019

Year 2018

1. Shridevi, S., Viswanathan, V., Saleena, B. , Ontology-driven decision support systems for health care, Knowledge Computing and its Applications: Knowledge Computing in Specific Domains, Volume 2, 3 April 2018, Pages 65-86
2. J Hemalatha, MK KavithaDevi, S Geetha, “A Comparative Review of Various Machine Learning Approaches for Improving the Performance of Stego Anomaly Detection”, Handbook of Research on Network Forensics and Analysis Techniques, IGI Global, Pennsylvania, USA. , 2018. pp . 351-372, doi: 10.4018/978-1-5225-4100-4.ch019. (ISBN: 9781522541004).
3. J Hemalatha, MK KavithaDevi, S Geetha, “A Recent Study on High Dimensional Features Used in Stego Image Anomaly Detection”, Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management, IGI Global, Pennsylvania, USA. , 2018. pp . 49-66, doi: 10.4018/978-1-5225-4044-1.ch003. (ISBN: 9781522540441).
4. Jasmine SG, Pattabiraman V, Performance Analysis of Statistical-Based Pixel Purity Index Algorithms for Endmember Extraction in Hyperspectral Imagery, Advances in Big Data and Cloud Computing, AISC, volume 645, pp. 157-167, Springer, Singapore, April 2018, Scopus
5. Jasmine SG, Pattabiraman V, Enhanced Pixel Purity Index Algorithm to Find the Index Position of the Pure Pixels in Hyperspectral Images, Advances in Electronics, Communication and Computing 2018 (pp. 363-370), Lecture Notes in Electrical Engineering book series (LNEE, volume 443), Springer, Singapore. – Jan 2018, Scopus
6. Sudeshna Bhat, M.Sivagami, Brain Tumour Detection Using Cuckoo Search Algorithm and Histogram Thresholding for MR Images, Advances in Intelligent Systems and Computing, Springer,2018
7. Vijayalakshmi A., Rajesh Kanna B., Banukumar S. (2018) Estimation of Texture Variation in Malaria Diagnosis, Computational Signal Processing and Analysis. Lecture Notes in Electrical Engineering, vol 490, 325-334, Springer,2018, Scopus
8. Kar D., Rajesh Kanna B. (2018) A Novel Video Analytics Framework for Microscopic Tracking of Microbes. Computational Signal Processing and Analysis. Lecture Notes in Electrical Engineering, vol 490. 115-128, Springer,2018, Scopus
9. GokulaKrishnan E, Malathi G, A Survey on Multi-feature Hand Biometrics Recognition, Computational Vision and Bio Inspired Computing, Springer, pp. 1061-1071, Feb 2018
10. S.Adithya, M.Sivagami, Enhanced Scalar Invariant Feature Transform, Lecture Notes in Electrical Engineering, Springer, 2018
11. Vaidehi, V., Ravi Pathak, RentaChintalaBhargavi, KirupaGanapathy, C. SweetlinHemalatha, A. AnnisFathima, P. T. V. Bhuvaneswari, SibiChakkaravarthy S. and Xavier Fernando. “Enhanced Complex Event Processing Framework for Geriatric Remote Healthcare.” Handbook of Research on Investigations in Artificial Life Research and Development. IGI Global, 2018. 348-379. Web. 24 Jun. 2018. doi:10.4018/978-1-5225-5396-0.ch016

12. Aakash Kag & Jenila Livingston L.M. “Multiclass Single Label Model for Web Page Classification”, Computing and Emerging Trends, New Delhi Publishers., 2018, pp 39-50, ISBN 978-93-86453-39-6
13. GeetaAtkar, Priyadarshini J.“Machine Learning and Internet of Things” International Journal of Engineering, Science and Management, Volume :8, Issue :2 (2018), pp1-4.
14. ShrianshSrivastava, J Priyadarshini, SachinGopal, Sanchay Gupta, HarShobhitDayal“Optical Character Recognition on Bank Cheques Using 2D Convolution Neural Network”, Applications of Artificial Intelligence Techniques in Engineering, Advances in Intelligent Systems and Computing (2018) pp. 589-596.
15. AjinkyaKhadilkar, Kunal Sunil Kasodekar, Priyanshu Sharma, J Priyadarshini“Intelligent Traffic Light Scheduling Using Linear Regression”, Applications of Artificial Intelligence Techniques in Engineering, Advances in Intelligent Systems and Computing (2018) pp. 329-335.

Year 2017

1. Viswanathan, V., Shridevi, S., Semantic Technologies for IoT, Taylor & Francis Group, Chapter 13, 2017,CRC Press, pp. 265-293, ISBN 9781138035003
2. Rajiv Vincent, Swaytha.K, “Cloud Based Renovation Sytsem using Erasure Code Implementation”, Computing and Emerging Trends: A Handbook, 2017.

3. Prabakaran.N, Jagadeesh Kannan.R, “Cooperative Sensors for Identifying an Impulsive Events of Asynchronous Environment”, Advances in Intelligent and Soft Computing, Springer verlag, PP 215 – 222, 2017

4. Naresh K, Krishnamoorthy Arasu, R. Jagadeesh Kannan and R. Ganesan, “An Efficient System Model for Multicasting Measured Noise Value of Polluting Industries”, Advances in Intelligent and Soft Computing, Springer Verlag, PP 377 – 383, April 2017.

5. Parvathi.R & Bangaru Kamatchi “A Review On Spatial Big Data Analytics And Visualization” published in “Modern Technologies for Big Data Classification and Clustering”” ISSN/ISBN Nos: 9781522528050, Page Nos:179-197, IGI Global (Scopus)
6. Parvathi.R & U.Vignesh “Biological Big Data Analysis and Visualization” published in “Modern Technologies for Big Data Classification and Clustering”” ISSN/ISBN Nos: 9781522528050 Page Nos:
244-259, IGI Global (Scopus)

Year 2016

1. Meena, M. Janaki, and SP Syed Ibrahim. “Statistical and Evolutionary Feature Selection Techniques Parallelized Using MapReduce Programming Model.” Techniques and Environments for Big Data Analysis. Springer, Cham, 2016. 159-180. ISSN/ISBN Nos: 978-3-319-27518-5 (Print ISBN)
2. P.Punithavathi, S.Geetha, “Visual Cryptography for Securing Images in Cloud”, Combating Security Breaches and Criminal Activity in the Digital Sphere, IGI Global, Pennsylvania, USA. , Mar. 2016. doi:10.4018/978-1-5225-0193-0. (ISBN: 9781522501930).
3. S.Geetha, Siva S.Sivatha Sindhu, “Audio Stego Intrusion Detection System through Hybrid Neural Tree Model”, Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security, IGI Global, Pennsylvania, USA., 45-57, March 2016, doi:10.4018/978-1-5225-0105-3. ISBN No. 9781522501053.
4. M Sivabalakrishnan, R Menaka, S Jeeva ,Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems, Combating Security Breaches and Criminal Activity in the Digital Sphere ,PP 93-118, june 2016, Scopus
5. N.Maheswari, M.Sivagami, Large Scale Data Analytics Tools, Apache Hive, Pig and Hbase Data Science and Big Data Computing Framework and Methodologies, Springer, 2016
6. B. Rajesh Kanna, Devarati Kar, Sandra Felice and Nikhil Joseph, “Intuitive Touch Interaction to Amputated Fingers”, Smart Innovation, Systems and Technologies, Springer, Volume 49, (2016) 387-397, DOI 10.1007/978-3-319-30348-2, 2016, P Vetrivelan, M Jagannath, and TS Pradeep Kumar, Network Intrusion Detection and Prevention Systems on Flooding and Worm Attacks, Combating Security Breaches and Criminal Activity in the Digital Sphere, pp. 183–207. IGI Global, 2016.

7. Gayathri Rajakumaran, Neelanarayanan Venkataraman, “A Systematic Mapping of Security Mechanisms”, Criminal activities in the digital sphere – IGI Global, pp.209-231, 2016.

8. Bhargavi. R, “Complex Event Processing framework for Big data Applications”, Data Science and Big data computing, Springer, pp. 41 – 56, 2016.
9. M. Janaki Meena, S. P. Syed Ibrahim (2016), “Statistical and Evolutionary Feature Selection Techniques Parallelized using MapReduce Programming Model” Springer book on Evolutionary Algorithms to handle Big Data, Volume: 17, Issue: 1, 2016, pp 159 – 180, ISSN/ISBN Nos: 2197-6503.

10. Raamakirtinan S. & Jenila Livingston L.M., “Locating Influential Users in Social Networks using Sentiment based Ranking Algorithm” in ‘Handbook on Computer and Information Technology, Research India Publications, 2016, pp 154-157, ISBN No: 978-93-84443-46-7.

11. Sharmila Chidaravalli, Jenila Livingston L.M, Manjunath TK & Andrews Samraj, “Study on Diagnosing Gearbox Faults in Vehicles Using Expert Systems: Review” in Cognitive Knowledge Engineering, Excel Academy Publishers, 2016, pp 275-280, ISBN 978-93-86751-04-1

Year 2015

1. Aparna V, Neelanarayanan V and Vijayakumar V., “Framework for Supporting Heterogeneous Clouds Using Model Driven Approach”, pp. 219-235, Computational Intelligence for Big Data Analysis: Frontier Advances and Applications, Studies in Adaptation, Learning, and Optimization Series Springer‐Verlag/ Heidelberg), 2015.
2. A.Vijayalakshmi, B. Rajesh Kanna, ShanthiBanukumar, Estimation of texture variation in Malaria diagnosis, Book Chapter 30, Vol. 490, Lecture Notes in Electrical Engineering, Springer Nature, p. 325-334, April 2018, ISBN 978-981-10-8354-9.