| Fuzzy inference enabled deep reinforcement learning-based traffic light control for intelligent transportation system N Kumar, SS Rahman, N Dhakad IEEE Transactions on Intelligent Transportation Systems 22 (8), 4919-4928, 2020 | 174 | 2020 |
| A green routing algorithm for IoT-enabled software defined wireless sensor network N Kumar, DP Vidyarthi IEEE Sensors Journal 18 (22), 9449-9460, 2018 | 125 | 2018 |
| Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy D Soni, N Kumar Journal of Network and Computer Applications 205, 103419, 2022 | 89 | 2022 |
| Quality of experience framework for cloud computing (QoC) AA Laghari, H He, A Khan, N Kumar, R Kharel IEEE Access 6, 64876-64890, 2018 | 89 | 2018 |
| A novel hybrid PSO–GA meta-heuristic for scheduling of DAG with communication on multiprocessor systems N Kumar, DP Vidyarthi Engineering with Computers 32, 35-47, 2016 | 72 | 2016 |
| Deep reinforcement learning-based traffic light scheduling framework for SDN-enabled smart transportation system N Kumar, S Mittal, V Garg, N Kumar IEEE Transactions on Intelligent Transportation Systems 23 (3), 2411-2421, 2021 | 55 | 2021 |
| A model for resource-constrained project scheduling using adaptive PSO N Kumar, DP Vidyarthi Soft computing 20 (4), 1565-1580, 2016 | 53 | 2016 |
| Artificial lizard search optimization (ALSO): a novel nature-inspired meta-heuristic algorithm N Kumar, N Singh, DP Vidyarthi Soft Computing 25 (8), 6179-6201, 2021 | 49 | 2021 |
| Green computing in software defined social internet of vehicles N Kumar, R Chaudhry, O Kaiwartya, N Kumar, SH Ahmed IEEE Transactions on Intelligent Transportation Systems 22 (6), 3644-3653, 2020 | 45 | 2020 |
| Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions V Bharilya, N Kumar Vehicular Communications 46, 100733, 2024 | 44 | 2024 |
| Decentralised and distributed system for organ/tissue donation and transplantation P Ranjan, S Srivastava, V Gupta, S Tapaswi, N Kumar 2019 IEEE Conference on Information and Communication Technology, 1-6, 2019 | 39 | 2019 |
| MTFCT: A task offloading approach for fog computing and cloud computing R Jindal, N Kumar, H Nirwan 2020 10th International Conference on Cloud Computing, Data Science …, 2020 | 35 | 2020 |
| FZ enabled Multi-objective PSO for multicasting in IoT based Wireless Sensor Networks R Chaudhry, S Tapaswi, N Kumar Information Sciences 498, 1-20, 2019 | 34 | 2019 |
| A green multicast routing algorithm for smart sensor networks in disaster management R Chaudhry, S Tapaswi, N Kumar IEEE Transactions on Green Communications and Networking 3 (1), 215-226, 2019 | 33 | 2019 |
| Forwarding zone enabled PSO routing with network lifetime maximization in MANET R Chaudhry, S Tapaswi, N Kumar Applied Intelligence 48 (9), 3053-3080, 2018 | 32 | 2018 |
| An energy aware cost effective scheduling framework for heterogeneous cluster system N Kumar, DP Vidyarthi Future Generation computer systems 71, 73-88, 2017 | 31 | 2017 |
| A comprehensive survey on SDN and blockchain-based secure vehicular networks IM Varma, N Kumar Vehicular Communications 44, 100663, 2023 | 27 | 2023 |
| Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network D Jutury, N Kumar, A Sachan, Y Daultani, N Dhakad Applied Intelligence 53 (6), 7132-7153, 2023 | 26 | 2023 |
| A GA based energy aware scheduler for DVFS enabled multicore systems N Kumar, DP Vidyarthi Computing 99, 955-977, 2017 | 25 | 2017 |
| An evolutionary computing‐based energy‐efficient solution for IoT‐enabled software‐defined sensor network architecture P Mishra, N Kumar, WW Godfrey International journal of communication systems 35 (8), e5111, 2022 | 24 | 2022 |