| Random forest bagging and x-means clustered antipattern detection from sql query log for accessing secure mobile data RK Dhanaraj, V Ramakrishnan, M Poongodi, L Krishnasamy, M Hamdi, ... Wireless Communications and Mobile Computing 2021, 1-9, 2021 | 221 | 2021 |
| A heuristic angular clustering framework for secured statistical data aggregation in sensor networks L Krishnasamy, RK Dhanaraj, D Ganesh Gopal, T Reddy Gadekallu, ... Sensors 20 (17), 4937, 2020 | 71 | 2020 |
| Multi-disease classification model using strassen’s half of threshold (SHoT) training algorithm in healthcare sector MD Ramasamy, K Periasamy, L Krishnasamy, RK Dhanaraj, S Kadry, ... IEEE Access 9, 112624-112636, 2021 | 57 | 2021 |
| Black hole and sink hole attack detection in wireless body area networks RK Dhanaraj, L Krishnasamy, O Geman, DR Izdrui Computers, Materials & Continua 68 (2), 1949-1965, 2021 | 53 | 2021 |
| Hybrid and dynamic clustering based data aggregation and routing for wireless sensor networks RK Dhanaraj, K Lalitha, S Anitha, S Khaitan, P Gupta, MK Goyal Journal of Intelligent & Fuzzy Systems 40 (6), 10751-10765, 2021 | 45 | 2021 |
| Black-hole attack mitigation in medical sensor networks using the enhanced gravitational search algorithm RK Dhanaraj, RH Jhaveri, L Krishnasamy, G Srivastava, PKR Maddikunta International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2021 | 39 | 2021 |
| Healthcare Internet of Things–The Role of Communication Tools and Technologies K Lalitha, DR Kumar, C Poongodi, J Arumugam Blockchain, Internet of Things, and Artificial Intelligence, 331-348, 2021 | 35 | 2021 |
| GCCR: An efficient grid based clustering and combinational routing in wireless sensor networks K Lalitha, R Thangarajan, SK Udgata, C Poongodi, AP Sahu Wireless Personal Communications 97, 1075-1095, 2017 | 35 | 2017 |
| A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks M Jeyaselvi, RK Dhanaraj, M Sathya, FH Memon, L Krishnasamy, K Dev, ... Cluster Computing 26 (1), 559-574, 2023 | 34 | 2023 |
| A novel, efficient, and secure anomaly detection technique using DWU-ODBN for IoT-enabled multimedia communication systems M Sathya, M Jeyaselvi, L Krishnasamy, MM Hazzazi, PK Shukla, ... Wireless Communications and Mobile Computing 2021, 1-12, 2021 | 27 | 2021 |
| A geodesic deployment and radial shaped clustering (RSC) algorithm withstatistical aggregation in sensor networks L Krishnasamy, T Ramasamy, RK DHANARAJ, P Chinnasamy Turkish Journal of Electrical Engineering and Computer Sciences 29 (3), 1464 …, 2021 | 27 | 2021 |
| Bigdata in the Management of Diabetes Mellitus Treatment D Rajesh Kumar, K Rajkumar, K Lalitha, V Dhanakoti Internet of Things for Healthcare Technologies, 293-324, 2021 | 21 | 2021 |
| A Review on Possibilities of Hearing Loss and Implantable Hearing Devices for Teenagers K Lalitha, S Varadhaganapathy, S Santhoshi, DR Kumar 2018 4th International Conference on Computing Communication and Automation …, 2018 | 19 | 2018 |
| Stochastic learning-based artificial neural network model for an automatic tuberculosis detection system using chest x-ray images S Urooj, S Suchitra, L Krishnasamy, N Sharma, N Pathak IEEE Access 10, 103632-103643, 2022 | 16 | 2022 |
| Multi-objective based deployment of throwboxes in Delay Tolerant Networks for the Internet of Things environment P Chinnasamy, SK Udgata, L K Evolutionary Intelligence 14 (2), 895-907, 2021 | 12 | 2021 |
| The Role of Blockchains for Medical Electronics Security C Poongodi, K Lalitha, RK Dhanaraj Essential Enterprise Blockchain Concepts and Applications, 231-262, 2021 | 10 | 2021 |
| Future: HCI in public conveyances T Abirami, K Lalitha, P Jayadharshini, T Madhuvanthi AIP Conference Proceedings 2387 (1), 2021 | 7 | 2021 |
| Forecasting the spread of COVID-19 using supervised machine learning models GK Kamalam, K Lalitha, E Priyadarshini, VC Janani, PM Sasidhar AIP Conference Proceedings 2387 (1), 2021 | 6 | 2021 |
| An energy-efficient routing with particle swarm optimization and aggregate data for IOT-enabled software-defined networks K Lalitha, C Poongodi, S Anitha, D Vijay Anand Intelligent Systems: Proceedings of ICMIB 2020, 105-114, 2021 | 5 | 2021 |
| Enhancing the Automated Diagnosis System of Soft Tissue Tumors with Machine Learning Techniques P Kowshika, S Mousika, P Divya, K Lalitha, A Jeevanantham, ... Intelligent Systems: Proceedings of ICMIB 2021, 549-558, 2022 | 4 | 2022 |
Prof. (Dr.) Rajesh Kumar DhanarajProfessor, Symbiosis International (Deemed University)Verified email at sicsr.ac.in
