| Survey on anomaly detection using data mining techniques S Agrawal, J Agrawal Procedia Computer Science 60, 708-713, 2015 | 802 | 2015 |
| Neural network techniques for cancer prediction: A survey S Agrawal, J Agrawal Procedia Computer Science 60, 769-774, 2015 | 127 | 2015 |
| Classification through machine learning technique: C4. 5 algorithm based on various entropies S Sharma, J Agrawal, S Sharma International Journal of Computer Applications 82 (16), 2013 | 101 | 2013 |
| Machine learning techniques for data mining: A survey S Sharma, J Agrawal, S Agarwal, S Sharma 2013 IEEE International Conference on computational intelligence and …, 2013 | 93 | 2013 |
| Analysis of different similarity measure functions and their impacts on shared nearest neighbor clustering approach AK Patidar, J Agrawal, N Mishra International Journal of Computer Applications 40 (16), 1-5, 2012 | 71 | 2012 |
| A survey on anomaly detection in network intrusion detection system using particle swarm optimization based machine learning techniques K Satpute, S Agrawal, J Agrawal, S Sharma Proceedings of the international conference on frontiers of intelligent …, 2013 | 42 | 2013 |
| Movie recommender system using k-nearest neighbors variants S Airen, J Agrawal National Academy Science Letters 45 (1), 75-82, 2022 | 35 | 2022 |
| SET-PSO-based approach for mining positive and negative association rules J Agrawal, S Agrawal, A Singhai, S Sharma Knowledge and information systems 45, 453-471, 2015 | 32 | 2015 |
| A comparative study of fuzzy PSO and fuzzy SVD-based RBF neural network for multi-label classification S Agrawal, J Agrawal, S Kaur, S Sharma Neural Computing and Applications 29 (1), 245-256, 2018 | 29 | 2018 |
| Acceleration based particle swarm optimization for graph coloring problem J Agrawal, S Agrawal Procedia Computer Science 60, 714-721, 2015 | 25 | 2015 |
| A study on web usage mining theory and applications BK Malviya, J Agrawal 2015 Fifth International Conference on Communication Systems and Network …, 2015 | 23 | 2015 |
| Movie recommender system using parameter tuning of user and movie neighbourhood via co-clustering S Airen, J Agrawal Procedia Computer Science 218, 1176-1183, 2023 | 20 | 2023 |
| A comprehensive survey on various machine learning methods used for intrusion detection system AR bhai Gupta, J Agrawal 2020 IEEE 9th International Conference on Communication Systems and Network …, 2020 | 18 | 2020 |
| A prospective, randomized, double-blind, comparative study of the efficacy of intravenous ondansetron and palonosetron for prevention of postoperative nausea and vomiting BK Shadangi, J Agrawal, R Pandey, A Kumar, S Jain, R Mittal, ... Anaesthesia, Pain & Intensive Care, 55-58, 2019 | 18 | 2019 |
| Study on metabolic profile of repeat breeder, post partum anestrous and normal cyclic Sahiwal cows. JK Agrawal, AS Atul Saxena, VS Vijay Singh | 18 | 2015 |
| Data, Engineering and Applications RK Shukla, J Agrawal, S Sharma, GS Tomer Springer, 2019 | 16 | 2019 |
| Molecular characterization of extended-spectrum β-lactamase-producing Escherichia coli isolated from postpartum uterine infection in dairy cattle in India S Agrawal, AP Singh, R Singh, R Saikia, S Choudhury, A Shukla, ... Veterinary world 14 (1), 200, 2021 | 15 | 2021 |
| Colour-coded syringe labels: a modification to enhance patient safety D Kothari, J Agrawal British journal of anaesthesia 110 (6), 1056-1058, 2013 | 15 | 2013 |
| An Improved Genetic Algorithm for Automated Convolutional Neural Network Design. R Dubey, J Agrawal Intelligent Automation & Soft Computing 32 (2), 2022 | 13 | 2022 |
| The multi-demeanor fusion based robust intrusion detection system for anomaly and misuse detection in computer networks AR Gupta, J Agrawal Journal of Ambient Intelligence and Humanized Computing 12 (1), 303-319, 2021 | 13 | 2021 |
Dr Shikha AgrawalUniversity Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India在 rgtu.net 的电子邮件经过验证
Dr Shikha AgrawalUniversity Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India在 rgtu.net 的电子邮件经过验证