| Neural network based optimization approach for energy demand prediction in smart grid K Muralitharan, R Sakthivel, R Vishnuvarthan Neurocomputing 273, 199-208, 2018 | 273 | 2018 |
| Multiobjective optimization technique for demand side management with load balancing approach in smart grid K Muralitharan, R Sakthivel, Y Shi Neurocomputing 177, 110-119, 2016 | 168 | 2016 |
| Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks M Krishnan, S Yun, YM Jung Computer Networks 160, 33-40, 2019 | 91 | 2019 |
| Dynamic clustering approach with ACO-based mobile sink for data collection in WSNs M Krishnan, S Yun, YM Jung Wireless Networks, 1-13, 2018 | 44 | 2018 |
| Performance evaluation of sensor deployment using optimization techniques and scheduling approach for K-coverage in WSNs M Krishnan, V Rajagopal, S Rathinasamy Wireless Networks, 1-11, 2016 | 41 | 2016 |
| Reinforcement learning-based dynamic routing using mobile sink for data collection in WSNs and IoT applications M Krishnan, Y Lim Journal of Network and Computer Applications 194, 103223, 2021 | 39 | 2021 |
| Energy-efficient data collection in strip-based wireless sensor networks with optimal speed mobile data collectors R Vishnuvarthan, R Sakthivel, V Bhanumathi, K Muralitharan Computer Networks 156, 33-40, 2019 | 37 | 2019 |
| Improved clustering with firefly-optimization-based mobile data collector for wireless sensor networks M Krishnan, S Yun, YM Jung AEU-International Journal of Electronics and Communications 97, 242-251, 2018 | 27 | 2018 |
| Detection and defending the XSS attack using novel hybrid stacking ensemble learning-based DNN approach M Krishnan, Y Lim, S Perumal, G Palanisamy Digital Communications and Networks 10 (3), 716-727, 2024 | 19 | 2024 |
| An improved clustering with particle swarm optimization-based mobile sink for wireless sensor networks M Krishnan, YM Jung, S Yun 2018 2nd International Conference on Trends in Electronics and Informatics …, 2018 | 15 | 2018 |
| Prediction of energy demand in smart grid using hybrid approach M Krishnan, YM Jung, S Yun 2020 Fourth International Conference on Computing Methodologies and …, 2020 | 11 | 2020 |
| Energy efficient data gathering using mobile sink in IoT for reliable irrigation V Rajagopal, B Velusamy, M Krishnan, S Rathinasamy Sustainable Computing: Informatics and Systems 40, 100916, 2023 | 6 | 2023 |
| Novel elegant fuzzy genetic algorithms in classification problems K Venkatanareshbabu, S Nisheel, R Sakthivel, K Muralitharan Soft Computing 23, 5583-5603, 2019 | 5 | 2019 |
| Web Services for Home Area Management System in the Smart Grid and it’s Performance M Krishnan, GK Pugalendhi | | 2014 |
| Short-Term Energy Load Forecasting Using Neural Networks in Smart Grid K Muralitharan, Y Sangwoon, Y Jung | | |
Vishnuvarthan RajagopalAmrita Vishwa Vidyapeetham, CoimbatoreDirección de correo verificada de cb.amrita.edu