Center for Cyber Physical systems

Research - Publications


1. R. Karthik, R. Menaka, Hariharan, Deahon Won, Contour-enhanced Attention CNN for CT-based COVID-19 Segmentation (2022), Pattern Recognition, 2022. [IF: 7.74]

2. Jayanth Sivakumar, Karthik Ramamurthy, Menaka Radhakrishnan, Daehan Won, (2022), Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors, Knowledge-Based Systems, Volume 236, 2022. [IF: 8.038]

3. Neha Muralidharan, Shaurya Gupta, Manas Ranjan Prusty, Rajesh Kumar Tripathy, “Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network”, Applied Soft Computing (Elsevier), February 2022, [IF: 6.725]

4. Karthik, R, Tejas Sunil Vaichole, Sanika Kiran Kulkarni, Ojaswa Yadav, Faiz Khan, (2022), Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification, Biomedical Signal Processing and Control, Volume 73, 2022. [IF: 3.88]

5. Saumya Bhardwaj, Manas Ranjan Prusty, “BERT Pre-processed Deep Learning Model for Sarcasm Detection”, National Academy of Science Letters (Springer), March 2022, [IF: 0.788]

6. S. Karthik, Robin Singh Bhadoria, Jeong Gon Lee, Arun Kumar Sivaraman, Sovan Samanta, A. Balasundaram, Brijesh Kumar Chaurasia and S. Ashokkumar, Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction, Computers, Materials & Continua, January 2022, [IF:3.772]


1. D. Hemanand, D. S. Jayalakshmi, Uttam Ghosh, A. Balasundaram, Pandi Vijayakumar, and Pradip Kumar Sharma, Enabling Sustainable Energy for Smart Environment Using 5G Wireless Communication and Internet of Things, IEEE Wireless Communications (IEEE), December 2021, [IF: 11.979]

2. D. Kothandaraman, A. Balasundaram, R. Dhanalakshmi, Arun Kumar Sivaraman, S. Ashokkumar, Rajiv Vincent and M. Rajesh, Energy and Bandwidth Based Link Stability Routing Algorithm for IoT, Computers, Materials & Continua, September 2021, [IF: 3.772]

3. A. Balasundaram, Golda Dilip, M. Manickam, Arun Kumar Sivaraman, K. Gurunathan, R. Dhanalakshmi and S. Ashokkumar, Abnormality Identification in Video Surveillance System using DCT, Intelligent Automation & Soft Computing, November 2021, [IF: 1.647]

4. P. Arunachalam, N. Janakiraman, Arun Kumar Sivaraman, A. Balasundaram, Rajiv Vincent, Sita Rani, Barnali Dey, A. Muralidhar and M. Rajesh, Synovial Sarcoma Classification Technique Using Support Vector Machine and Structure Features, Intelligent Automation & Soft Computing, November 2021, [IF: 1.647]

5. K. Dhinakaran, R. Nedunchelian, A. Balasundaram, Crowdsourcing: Descriptive Study on Algorithms and Frameworks for Prediction, Archives of Computational Methods in Engineering (Springer), April 2021, [IF: 7.302]

6. Karthik, R., Menaka, R., & M., H. Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. Applied Soft Computing, 106744, 2021. [IF: 6.725]

7. Karthik R.V, Sannasi Ganapathy, A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce, Applied Soft computing, Vol.108, pp. 1-18, 2021. [IF: 6.725]

8. Karthik, R., R. Menaka, Mr. Hariharan, Deahon Won, Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN, Computer Methods and Programs in Biomedicine, 2021. [IF: 5.428]

9. Rajeswari, A.R., Kulothungan, K., Ganapathy Sannasi, Arputharaj Kannan,, Trusted energy aware cluster based routing using fuzzy logic for WSN in IoT, Journal of Intelligent & Fuzzy Systems, Vol.40, No.5, pp. 9197-9211, 2021. [IF: 1.851]

10. AR Rajeswari, S Ganapathy, K Kulothungan, A Kannan, An efficient trust‐based secure energy‐aware clustering to mitigate trust distortion attack in mobile ad‐hoc network, Concurrency and Computation: Practice and Experience, Vol.33, No.13, pp.233-256, 2021. [IF:1.536]

11. R Menaka, M Thanga Aarthy, Renuka Mahadev Chavan, R C Perumal and Mahima S Menon. Recurrence Quantification Analysis of EEG signals for Children with ASD. Journal of Scientific & Industrial Research Vol. 80, pp. 438- 448, 2021. [IF: 1.056]

12. Aditya Anil, Ashwin Sudha Arun, Lalitha Ramchandar, A. Balasundaram, Parallelizing High-Frequency Trading using GPGPU, National Academy Science Letters (Springer), August 2021, [IF: 0.788]

13. Balasubramanian Prabhu Kavin and Sannasi Ganapathy, A New Digital Signature Algorithm for Ensuring the Data Integrity in Cloud using Elliptic Curves, Vol.18, No.2, pp.180-190, 2021. [IF:0.669]

14. Pradeep Suthanthiramani, Muthurajkumar Sannasy, Ganapathy Sannasi, Kannan Arputharaj, Secured Data Storage and Retrieval using Elliptic Curve Cryptography in Cloud, The International Arab Journal of Information Technology, Vol.18, No.1, pp.56-66, 2021. [IF:0.669]


1. Karthik R., Menaka, R., Johnson, A., & Anand, S. (2020). Neuroimaging and deep learning for brain stroke detection – A review of recent advancements and future prospects. Computer Methods and Programs in Biomedicine, 197, 105728. [IF: 3.632]

2. Karthik R., Hariharan M., Sundar Anand, Priyanka Mathikshara, Annie Johnson, Menaka R. 2020. Attention embedded residual CNN for disease detection in tomato leaves. Applied Soft Computing. 86, pp. 1-11. [IF: 5.472]

3. Menaka. R, Won, D., Manoharan, T. A., Venkatachalam, V., Chavan, R. M., & Nalla, H. D. (2020). Investigating electroencephalography signals of autism spectrum disorder (ASD) using Higuchi Fractal Dimension. Biomedical Engineering / Biomedizinische Technik, [IF :1.0592]

4. Dipalee Ashok Chaudhari and Ekambaram Umamaheswari “A new adaptive XOR, hashing and encryption-based authentication protocol for secure transmission of the medical data in Internet of Things (IoT)” Biomedical Engineering / Biomedizinische Technik , 2020 [IF :1.0592]

5. Periyasamy Nancy, Sannasy Muthurajkumar, Sannasi Ganapathy, S. V. N. Santhosh Kumar, M. Selvi, Kannan Arputharaj:Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks. IET Communications 14(5): 888-895 (2020) [IF: 1.664]

6. Ganesan Sangeetha, Muthuswamy Vijayalakshmi, Sannasi Ganapathy, Arputharaj Kannan: An improved congestion-aware routing mechanism in sensor networks using fuzzy rule sets. Peer Peer Netw. Appl. 13(3): 890-904 (2020) [IF: 2.793]

7. Thangaramya Kalidoss, Logambigai Rajasekaran, Kulothungan Kanagasabai, Ganapathy Sannasi, Arputharaj Kannan:QoS Aware Trust Based Routing Algorithm for Wireless Sensor Networks. Wirel. Pers. Commun. 110(4): 1637-1658 (2020) [IF: 1.061]

8. V.Pandiyaraju, Logambigai Rajasekaran, Sannasi Ganapathy, Arputharaj Kannan: An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture. Wirel. Pers. Commun. 112(1): 243-259 (2020) [IF: 1.061]

9. M Selvi, SVNS Kumar, S Ganapathy, A Ayyanar, HK Nehemiah, A Kannan, “An Energy Efficient Clustered Gravitational and Fuzzy Based Routing Algorithm in WSNs”, Wireless Personal Communications, 1-30, 2020. [IF: 1.061]

10. S Munuswamy, MS Saranya, S Ganapathy, S Muthurajkumar, A Kannan, “Sentiment Analysis Techniques for Social Media-Based Recommendation Systems”, National Academy Science Letters, 1-7, 2020. [IF: 0.416]

11. BP Kavin, S Ganapathy, U Kanimozhi, A Kannan, “An Enhanced Security Framework for Secured Data Storage and Communications in Cloud Using ECC, Access Control and LDSA”, Wireless Personal Communications, 1-29, 2020. [IF: 1.061]

12. B Riyaz, S Ganapathy, “A deep learning approach for effective intrusion detection in wireless networks using CNN”, Soft Computing, 1-14, 2020. [IF:3.050]


1. Karthik R., Utkarsh Gupta, Ashish Jha, Rajalakshmi, R., and Menaka, R., 2019. A Deep Supervised approach for Ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network. Applied Soft Computing, 84, pp. 1-13. [IF: 5.472]

2. DM Ajay, E Umamaheswari, Packet encryption for securing real-time Mobile cloud applications, Mobile Networks and Applications, Aug 2019, Volume 24, Issue 4, Pages 1249-1254. [IF: 2.948]

3. M. Selvi, P. Velvizhy, Sannasi Ganapathy, H. Khanna Nehemiah, Arputharaj Kannan: A rule based delay constrained energy efficient routing technique for wireless sensor networks. Cluster Computing 22(5): 10839-10848 (2019) [IF:3.458]

4. Balasubramanian Prabhu Kavin, Sannasi Ganapathy: A secured storage and privacy-preserving model using CRT for providing security on cloud and IoT-based applications. Comput. Networks 151: 181-190 (2019) [IF: 3.111]

5. Thangaramya Kalidoss, Kanagasabai Kulothungan, Logambigai Rajasekaran, M. Selvi, Sannasi Ganapathy, Arputharaj Kannan: Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT. Comput. Networks 151: 211-223 (2019) [IF: 3.111]

6. R. Rajeswari, Kanagasabai Kulothungan, Sannasi Ganapathy, Arputharaj Kannan: A trusted fuzzy based stable and secure routing algorithm for effective communication in mobile adhoc networks. Peer Peer Netw. Appl. 12(5): 1076-1096 (2019) [IF: 2.793]

7. Sankar Pariserum Perumal, Sannasi Ganapathy, Kannan Arputharaj: An intelligent fuzzy rule-based e-learning recommendation system for dynamic user interests. J. Super comput. 75(8): 5145-5160 (2019) [IF:2.465]

8. M. Selvi, Thangaramya Kalidoss, Sannasi Ganapathy, Kanagasabai Kulothungan, H. Khannah Nehemiah, Arputharaj Kannan: An Energy Aware Trust Based Secure Routing Algorithm for Effective Communication in Wireless Sensor Networks. Wirel. Pers. Commun. 105(4): 1475-1490 (2019) [IF: 1.061]


1. K Dinesh Kumar and E Umamaheswari, “Prediction methods for effective resource provisioning in cloud computing: A survey”, Multiagent and Grid Systems, ISSN No. 1574-1702, Vol. 14, No. 3, pp. 283-305, 2018 [IF: 1.0987]

2. Karthik R. and Menaka, R., 2018. Computer-aided detection and characterization of stroke lesion – a short review on the current state-of-the art methods. The Imaging Science Journal, 66(1), pp. 1-22. [IF: 1.023]

3. Rajasekar Logambigai, Sannasi Ganapathy, Arputharaj Kannan: Energy-efficient grid-based routing algorithm using intelligent fuzzy rules for wireless sensor networks. Comput. Electr. Eng. 68: 62-75 (2018) [IF: 2.663]

4. S Muthurajkumar, M Vijayalakshmi, A Kannan, S Ganapathy, “Optimal and Energy Efficient Scheduling Techniques for Resource Management in Public Cloud Networks”, National Academy Science Letters 41 (4), 219-223, 2018. [IF: 0.461]

5. TJ Vijay Kumar, N Lavanya, H Khanna Nehemiah, S Ganapathy, A.Kannan, “Identification and Classification of Pulmonary Nodule in Lung Modality Using Digital Computer”, Appl. Math. Inf. Sci. 12 (2), 451-459, 2018. [IF: 1.232]


1. R. Kanchana & R. Menaka (2017) A novel approach for characterisation of ischaemic stroke lesion using histogram bin-based segmentation and gray level co-occurrence matrix features, The Imaging Science Journal, 65:2, 124-136. [IF: 1.023]

2. Karthik, R. and Menaka, R., 2017. A multi-scale approach for detection of ischemic stroke from brain MR images using discrete curvelet transformation. Measurement, 100, pp. 223-232. [IF: 3.364]


1. Ramya Sivanesan, Alvia Anwar, Abhishek Talwar, Menaka. R and Karthik. R,”A Novel Scheme for detection of Parkinson’s disorder from Hand-eye Co-ordination behavior and DaTscan Images”, KSII Transactions on Internet and Information Systems, Vol. 10, No. 9, pp. 4367-85, 2016. [IF: 0.648]

2. R Menaka, C Chellamuthu, R Karthik, Efficient feature point detection in CT images using Discrete Curvelet Transform, “Journal of scientific and Industrial Research, Vol. 72, May 2013, pp. 312-315. [IF: 0.729]