| A novel revenue optimization model to address the operation and maintenance cost of a data center S Saha, J Sarkar, A Dwivedi, N Dwivedi, AM Narasimhamurthy, R Roy Journal of Cloud Computing 5, 1-23, 2016 | 59 | 2016 |
| An efficient use of principal component analysis in workload characterization-a study J Sarkar, S Saha, S Agrawal AASRI Procedia 8, 68-74, 2014 | 16 | 2014 |
| ALVEC: auto-scaling by Lotka Volterra Elastic Cloud: a QoS aware non linear dynamical allocation model B Goswami, J Sarkar, S Saha, S Kar, P Sarkar Simulation Modelling Practice and Theory 93, 262-292, 2019 | 11 | 2019 |
| Postulating exoplanetary habitability via a novel anomaly detection method J Sarkar, K Bhatia, S Saha, M Safonova, S Sarkar Monthly Notices of the Royal Astronomical Society 510 (4), 6022-6032, 2022 | 8 | 2022 |
| Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches J Sarkar, S Saha, S Sarkar Applied Intelligence 53 (8), 8562-8595, 2023 | 3 | 2023 |
| CD-SFA: stochastic frontier analysis approach to revenue modelling in large cloud data centres J Sarkar, B Goswami, S Saha, S Kar International Journal of Communication Networks and Distributed Systems 21 …, 2018 | 3 | 2018 |
| Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data S Saha, J Sarkar, S Dhavala, S Sarkar, P Mota arXiv preprint arXiv:2302.08712, 2023 | 2 | 2023 |
| Revenue Forecasting in Technological Services: Evidence from Large Data Centers J Sarkar, B Goswami, S Kar, S Saha Work ing Paper, DOI 10, 0 | 2 | |
| d-BTAI: The Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems J Sarkar, S Sarkar, S Saha, S Das Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2021 | 1 | 2021 |
| Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study S Sarkar, S Mehta, N Fernandes, J Sarkar, S Saha arXiv preprint arXiv:2402.07281, 2024 | | 2024 |
| quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method S Saha, J Sarkar, S Dhavala, P Mota, S Sarkar IEEE Transactions on Artificial Intelligence, 2024 | | 2024 |
| QUANTILE-LSTM: A ROBUST LSTM FOR ANOMALY DETECTION S Saha, S Dhavala, J Sarkar, PB Mota, S Sarkar | | |
| MSMA: A Novel Evolutionary Algorithm to detect Operational Anomaly in Industrial Systems J Sarkar, S Saha, S Sarkar | | |
Santonu SarkarDept of Computer Sc and Information Systems, BITS Pilani在 acm.org 的电子邮件经过验证
