Center for Cyber Physical systems

Research - Publications


  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. Aditya Anil, Ashwin Sudha Arun, Lalitha Ramchandar & A. Balasundaram, “Parallelizing High-Frequency Trading using GPGPU”, National Academy Science Letters (Springer), June 2021. [ IF: 0.788]
  9. 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]
  10. 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., R. Menaka, Mr. Hariharan, Deahon Won, Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN, Computer Methods and Programs in Biomedicine, 2020. [IF: 3.632]
  2. Karthik, R., Menaka, R., & M., H. (2020). Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. Applied Soft Computing, 106744. [IF: 5.472]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. Periyasamy NancySannasy Muthurajkumar, Sannasi Ganapathy,  V. N. Santhosh KumarM. SelviKannan 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]
  8. Ganesan SangeethaMuthuswamy 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]
  9. Thangaramya KalidossLogambigai RajasekaranKulothungan Kanagasabai, Ganapathy Sannasi, Arputharaj Kannan:QoS Aware Trust Based Routing Algorithm for Wireless Sensor Networks.  Pers. Commun. 110(4): 1637-1658 (2020) [IF: 1.061]
  10. PandiyarajuLogambigai 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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. 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. 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. 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: 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. 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, 72, May 2013, pp. 312-315. [IF: 0.729]