| Predicting Network Attack Patterns in SDN using Machine Learning Approach S Nanda, F Zafari, C DeCusatis, E Wedaa, B Yang IEEE Conference on Network Function Virtualization and Software Defined …, 2017 | 198 | 2017 |
| Forensics as a service: Three-tier architecture for cloud based forensic analysis S Nanda, RA Hansen 2016 15th International Symposium on Parallel and Distributed Computing …, 2016 | 30 | 2016 |
| RACC: Resource-Aware Container Consolidation using a Deep Learning Approach S Nanda, T Hacker ACM Machine Learning for Computing Systems workshop at HPDC 2018, 2018 | 17 | 2018 |
| Predictive model for dynamically provisioning resources in multi-tier web applications. S Nanda, J Hacker, Thomas, YH Lu 8th IEEE International Conference on Cloud Computing Technology and Science …, 2016 | 14 | 2016 |
| RTL regression test selection using machine learning G Parthasarathy, A Rushdi, P Choudhary, S Nanda, M Evans, ... 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 281-287, 2022 | 7 | 2022 |
| A quantitative approach towards detection of an optimal attack path in a wireless network using modified pso technique N Ghosh, S Nanda, SK Ghosh 2009 First International Communication Systems and Networks and Workshops, 1-10, 2009 | 7 | 2009 |
| An ACO based approach for detection of an optimal attack path in a dynamic environment N Ghosh, S Nanda, SK Ghosh Distributed Computing and Networking: 11th International Conference, ICDCN …, 2010 | 6 | 2010 |
| TAG: Traffic-Aware Global Live Migration to Enhance User Experience of Cloud Applications S Nanda, TJ Hacker 9th IEEE International Conference on Cloud Computing Technology and Science …, 2017 | 5 | 2017 |
| SpecToSVA: Circuit Specification Document to SystemVerilog Assertion Translation G Parthasarathy, S Nanda, P Choudhary, P Patil 2021 Second Document Intelligence Workshop at KDD, 2021 | 3 | 2021 |
| Resource Aware Scheduling for EDA Regression Jobs S Nanda, G Parthasarathy, P Choudhary, A Venkatachar PMACS - Performance Monitoring and Analysis of Cluster Systems, 2019 | 2 | 2019 |
| Optimizing ml classification models for constrained EDA resource budgets G Parthasarathy, B Kumar, S Nanda, P Choudhary, S Rajakumar 2022 IEEE 40th International Conference on Computer Design (ICCD), 223-230, 2022 | 1 | 2022 |
| Automated translation of design specifications of electronic circuits G Parthasarathy, S Nanda, P Choudhary, P Patil, A Venkatachar US Patent App. 17/526,687, 2022 | 1 | 2022 |
| Optimizing machine learning classification models for resource constraints in electronic design automation (eda) computer aided design (cad) flows G Parthasarathy, B Kumar, S Nanda, P Choudhary, S Rajakumar US Patent App. 18/141,257, 2024 | | 2024 |
| Optimizing Constrained Random Verification with ML and Bayesian Estimation B Kumar, G Parthasarathy, S Nanda, S Rajakumar 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD), 1-6, 2023 | | 2023 |
| Intelligent RTL regression test selection using Machine Learning S Parthasarathy, G., Rushdi, A., Gunasekara, H., Evans, M., Nanda, S ... In Poster Presentation of the 58th Design Automation Conference (DAC). ACM, 2021 | | 2021 |
| Intelligent System Towards Maintaining Service Level Agreements Related to Application Performance in Cloud Infrastructure S Nanda Purdue University, 2018 | | 2018 |
| Anand Sharma, Sandeep Kautish, Prateek Agrawal, Vishu Madaan C Gupta, S Nanda | | |
Faheem ZafariImperial College London在 imperial.ac.uk 的电子邮件经过验证
