| Use of big data technology in vehicular ad-hoc networks P Bedi, V Jindal 2014 International Conference on Advances in Computing, Communications and …, 2014 | 50 | 2014 |
| I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems P Bedi, N Gupta, V Jindal Applied Intelligence 51 (2), 1133-1151, 2021 | 38 | 2021 |
| Beginning with big data simplified P Bedi, V Jindal, A Gautam 2014 International Conference on Data Mining and Intelligent Computing …, 2014 | 36 | 2014 |
| MARST: Multi-Agent Recommender System for e-Tourism Using Reputation Based Collaborative Filtering P Bedi, SK Agarwal, V Jindal, Richa Databases in Networked Information Systems, 189-201, 2014 | 33 | 2014 |
| Vehicular Ad-Hoc Networks: Introduction, Standards, Routing Protocols and Challenges V Jindal, P Bedi International Journal of Computer Science Issues 13 (2), 44-55, 2016 | 32 | 2016 |
| Siam-IDS: Handling class imbalance problem in intrusion detection systems using siamese neural network P Bedi, N Gupta, V Jindal Procedia Computer Science 171, 780-789, 2020 | 29 | 2020 |
| An improved hybrid ant particle optimization (IHAPO) algorithm for reducing travel time in VANETs V Jindal, P Bedi Applied Soft Computing 64, 526-535, 2018 | 27 | 2018 |
| MACO: Modified ACO for reducing travel time in VANETs V Jindal, H Dhankani, R Garg, P Bedi Proceedings of the Third International Symposium on Women in Computing and …, 2015 | 20 | 2015 |
| On reverse engineering an object-oriented code into UML class diagrams incorporating extensible mechanisms Vinita, A Jain, DK Tayal ACM SIGSOFT Software Engineering Notes 33 (5), 9, 2008 | 12* | 2008 |
| A preemptive approach to reduce average queue length in VANETs P Bedi, V Jindal, R Garg, H Dhankani 2015 International Conference on Advances in Computing, Communications and …, 2015 | 11 | 2015 |
| ATSOT: Adaptive traffic signal using mOTes P Bedi, V Jindal, H Dhankani, R Garg International Workshop on Databases in Networked Information Systems, 152-171, 2015 | 11 | 2015 |
| Prediction of COVID-19 trend in India and its four worst-affected states using modified SEIRD and LSTM models P Bedi, S Dhiman, P Gole, N Gupta, V Jindal SN computer science 2 (3), 1-24, 2021 | 9 | 2021 |
| Reducing waiting time with parallel preemptive algorithm in VANETs V Jindal, P Bedi Vehicular Communications 7, 58-65, 2017 | 9 | 2017 |
| Reducing travel time in VANETs with parallel implementation of MACO (modified ACO) V Jindal, P Bedi Innovations in Bio-Inspired Computing and Applications, 383-392, 2016 | 7 | 2016 |
| LIO-IDS: Handling class imbalance using LSTM and improved one-vs-one technique in intrusion detection system N Gupta, V Jindal, P Bedi Computer Networks 192, 108076, 2021 | 6 | 2021 |
| Projections for covid-19 spread in India and its worst affected five states using the modified seird and lstm models P Bedi, P Gole, N Gupta, V Jindal arXiv preprint arXiv:2009.06457, 2020 | 6 | 2020 |
| Effect of activation functions on the performance of deep learning algorithms for network intrusion detection systems N Gupta, P Bedi, V Jindal Proceedings of ICETIT 2019, 949-960, 2020 | 6 | 2020 |
| High performance adaptive traffic control for efficient response in vehicular ad hoc networks V Jindal, P Bedi International Journal of Computational Science and Engineering 16 (4), 390-400, 2018 | 5 | 2018 |
| Preemptive MACO (MACO-P) algorithm for reducing travel time in VANETs V Jindal, P Bedi Applied Artificial Intelligence 31 (2), 174-196, 2017 | 4 | 2017 |
| A preemptive hybrid ant particle optimization (HAPO-P) algorithm for smart transportation V Jindal, VR Sharma, P Bedi 2016 International Conference on Advances in Computing, Communications and …, 2016 | 4 | 2016 |
Dr Punam BediSenior Professor, Department of Computer Science, University of Delhi, IndiaVerified email at cs.du.ac.in
