| Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks S Gupta, DA Dinesh 2017 IEEE international conference on advanced networks and …, 2017 | 71 | 2017 |
| Online sparse blstm models for resource usage prediction in cloud datacentres S Gupta, AD Dileep, TA Gonsalves IEEE Transactions on Network and Service Management 17 (4), 2335-2349, 2020 | 27 | 2020 |
| A joint feature selection framework for multivariate resource usage prediction in cloud servers using stability and prediction performance S Gupta, AD Dileep, TA Gonsalves The Journal of Supercomputing 74, 6033-6068, 2018 | 27 | 2018 |
| Learning to hash: A comprehensive survey of deep learning-based hashing methods A Singh, S Gupta Knowledge and Information Systems 64 (10), 2565-2597, 2022 | 23 | 2022 |
| A supervised deep learning framework for proactive anomaly detection in cloud workloads S Gupta, N Muthiyan, S Kumar, A Nigam, DA Dinesh 2017 14th IEEE India Council International Conference (INDICON), 1-6, 2017 | 20 | 2017 |
| Association learning based hybrid model for cloud workload prediction S Kumar, N Muthiyan, S Gupta, AD Dileep, A Nigam 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 17 | 2018 |
| Long range dependence in cloud servers: a statistical analysis based on google workload trace S Gupta, AD Dileep Computing 102 (4), 1031-1049, 2020 | 13 | 2020 |
| Relevance feedback based online learning model for resource bottleneck prediction in cloud servers S Gupta, AD Dileep Neurocomputing 402, 307-322, 2020 | 12 | 2020 |
| Analysis of infectious disease transmission and prediction through SEIQR epidemic model S Tyagi, S Gupta, S Abbas, KP Das, B Riadh Nonautonomous Dynamical Systems 8 (1), 75-86, 2021 | 9 | 2021 |
| Online adaptation models for resource usage prediction in cloud network S Gupta, DA Dinesh 2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017 | 9 | 2017 |
| Fractional difference based hybrid model for resource prediction in cloud network S Gupta, AD Dileep, TA Gonsalves Proceedings of the Fifth International Conference on Network, Communication …, 2016 | 6 | 2016 |
| Data poisoning attack by label flipping on splitfed learning S Gajbhiye, P Singh, S Gupta International Conference on Recent Trends in Image Processing and Pattern …, 2022 | 5 | 2022 |
| Phylogenetic method for high-throughput ortholog detection S Gupta, M Singh International Journal of Information Engineering and Electronic Business 7 …, 2015 | 3 | 2015 |
| Improving capacity of soft handoff performance in wireless mobile communication using macro diversity VK Saini, SC Gupta International Journal on Computer Science and Engineering 3 (6), 2217-2223, 2011 | 2 | 2011 |
| Prediction of CHF location through applied machine learning V Kumar, D Pimparkar, VR Saini, R Kohli, S Gupta, H Pothukuchi Progress in Nuclear Energy 169, 105055, 2024 | 1 | 2024 |
| On Robustness of Split Neural Networks Against Data Poisoning Attacks M Kumar, A Yadav, P Singh, S Gupta | 1 | |
| Liquid droplet entrainment in an annular flow boiling regime—A Bayesian regularization algorithm based study J Vyas, R Kohli, S Gupta, H Pothukuchi Journal of Applied Physics 135 (16), 2024 | | 2024 |
| Tracking PII ex-filtration: Exploring decision tree and neural network with explainable AI R Kohli, S Chatterjee, S Gupta, MS Gaur 2023 IEEE International Conference on Advanced Networks and …, 2023 | | 2023 |
| Implementation of Neural Networks for the Prediction of CHF Location K Vishnu, R Kohli, S Gupta, H Pothukuchi International Conference in Fluid, Thermal and Energy Systems, 629-638, 2022 | | 2022 |
| Online resource usage prediction and failure-aware system for resource provisioning in cloud data centres (PhD) S Gupta IITMandi, 2020 | | 2020 |
