| Withdrawn: energy efficient routing protocols for WSN based IoT applications: a review D Gopika, R Panjanathan Materials Today: Proceedings, 2020 | 36 | 2020 |
| Diabetic retinopathy classification using CNN and hybrid deep convolutional neural networks R Yasashvini, R Panjanathan, JS Graceline, AL Jani Symmetry 14 (9), 1932, 2022 | 29 | 2022 |
| Industrial monitoring using image processing, IoT and analyzing the sensor values using big data P Rukmani, GK Teja, MS Vinay Procedia computer science 133, 991-997, 2018 | 24 | 2018 |
| Scheduling algorithm for real time applications in mobile ad hoc network with opnet modeler RG P.Rukmani Procedia Engineering 64, 94-103, 2013 | 24 | 2013 |
| Diabetic retinopathy classification using CNN and hybrid deep convolutional neural networks MVR Sarobin, R Panjanathan, SG Jasmine, LJ Anbarasi Symmetry 14 (9), 1932, 2022 | 19 | 2022 |
| Diabetic retinopathy classification using CNN and hybrid deep convolutional neural networks V Raja Sarobin M, R Panjanathan Symmetry 14 (9), 1932, 2022 | 11 | 2022 |
| ENHANCED LOW LATENCY QUEUING ALGORITHM FOR REAL TIME APPLICATIONS IN WIRELESS NETWORKS RG P. Rukmani International Journal of Technology 4, 663-672, 2016 | 11 | 2016 |
| Data security in e-health monitoring system B Abhishek, R Panjanathan, VR Sarobin, BE Raja, M Narendra Materials Today: Proceedings 62, 4620-4628, 2022 | 8 | 2022 |
| Enhanced low latency queuing algorithm with active queue management for multimedia applications in wireless networks R Panjanathan, G Ramachandran International Journal of High Performance Computing and Networking 10 (1-2 …, 2017 | 8 | 2017 |
| WISNet: A deep neural network based human activity recognition system H Sharen, LJ Anbarasi, P Rukmani, AH Gandomi, R Neeraja, M Narendra Expert Systems with Applications 258, 124999, 2024 | 7 | 2024 |
| FSS: Fuzzy supervised learning for optimal path selection in RPL D Gopika, P Rukmani Journal of Physics: Conference Series 1911 (1), 012016, 2021 | 6 | 2021 |
| Predictive maintenance in Industry 4.0: A survey of planning models and machine learning techniques I Hector, R Panjanathan PeerJ Computer Science 10, e2016, 2024 | 4 | 2024 |
| Efficient diagnosis of Alzheimer’s disease using efficientnet in neuroimaging H Sharen, B Dhanush, P Rukmani, D Dhanya Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022 …, 2022 | 4 | 2022 |
| Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers C Rajathi, P Rukmani Alexandria Engineering Journal 112, 384-396, 2025 | 3 | 2025 |
| A new compromising security framework for automated smart homes using vapt YVA Reddy, CA Kumar, P Rukmani, S Ganapathy Handbook of Research of Internet of Things and Cyber-Physical Systems, 337-366, 2022 | 3 | 2022 |
| Vergin Raja Sarobin M, Graceline Jasmine S, Jani Anbarasi L, Mishra P. Usage of artificial intelligence to prevent and regulate covid-19 P Rukmani Int J Cur Res Rev 13 (6), S64-7, 2021 | 3 | 2021 |
| A comprehensive study on various energy conservation mechanisms in wireless sensor networks D Gopika, R Panjanathan 2020 International Conference on Emerging Trends in Information Technology …, 2020 | 3 | 2020 |
| HandGCNN model for gesture recognition based voice assistance R Stellin, P Rukmani, LJ Anbarasi, S Narayanan Multimedia Tools and Applications 81 (29), 42353-42369, 2022 | 2 | 2022 |
| Machine learning-based intrusion detection for internet of things network traffic MVR Sarobin, P Rukmani, EAM Anita Handbook of Research of Internet of Things and Cyber-Physical Systems, 315-335, 2022 | 2 | 2022 |
| CNN based framework for intelligent diagnosis of tuberculosis using chest radiographs J Prassanna, LJ Anbarasi, P Rukmani, JC Jackson, B Rajesh, ... Research Journal of Pharmacy and Technology 15 (10), 4529-4532, 2022 | 2 | 2022 |
