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 | 78 | 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 | 39 | 2020 |
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 | 32 | 2022 |
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 | 32 | 2018 |
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 | 24 | 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 | 18 | 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 | 17 | 2020 |
Relevance feedback based online learning model for resource bottleneck prediction in cloud servers S Gupta, AD Dileep Neurocomputing 402, 307-322, 2020 | 16 | 2020 |
2018 international joint conference on neural networks (IJCNN) S Kumar, N Muthiyan, S Gupta, A Dileep, A Nigam IEEE, 2018 | 12 | 2018 |
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 | 10 | 2022 |
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 | 10 | 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 | 10 | 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 | 7 | 2016 |
A state-of-the-art review of the deep soil mixing technique for ground improvement. Innov Infrastruct Solut 8 (4): 129 S Gupta, S Kumar | 5 | 2023 |
Knowledge management in multinational organizations: a literature review S Kumar, B Vidyapith, S Gupta International Journal of Advanced Computer Technology 3 (2), 9-21, 2014 | 4 | 2014 |
Influence of imaging on touch imprint cytology of breast lesions V Raj, T Sivashanmugam, S Gupta, K Clarkson, E Denton, M Al-Attar Cancer epidemiology 34 (4), 457-460, 2010 | 4 | 2010 |
Phylogenetic method for high-throughput ortholog detection S Gupta, M Singh International Journal of Information Engineering and Electronic Business 7 …, 2015 | 3 | 2015 |
Steady flow and heat transfer between two stationary naturally permeable disks DS Chauhan, S Gupta ULTRA SCIENTIST OF PHYSICAL SCIENCES 12 (1), 45-52, 2000 | 3 | 2000 |
Aneurysmal form of aortoarteritis with aberrant right subclavian artery: diagnosis by Magnetic Resonance Angiography. S Kumar, S Gupta, R Gujral Minerva cardioangiologica 43 (9), 375-378, 1995 | 3 | 1995 |
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 | 2 | 2024 |