| Deep neural network approach to estimate early worst-case execution time V Kumar 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 1-8, 2021 | 11 | 2021 |
| Estimation of an early wcet using different machine learning approaches V Kumar International Conference on P2P, Parallel, Grid, Cloud and Internet …, 2022 | 8 | 2022 |
| An integrated approach of Genetic Algorithm and Machine Learning for generation of Worst-Case Data for Real-Time Systems V Kumar 2022 IEEE/ACM 26th International Symposium on Distributed Simulation and …, 2022 | 6 | 2022 |
| ESOMICS: ML-Based Timing Behaviour Analysis For Efficient Mixed-Criticality System Design V Kumar, B Ranjbar, A Kumar IEEE Access, 2024 | 2 | 2024 |
| Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems V Kumar, B Ranjbar, A Kumar 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-2, 2024 | 2 | 2024 |
| Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures V Kumar, B Ranjbar, A Kumar IEEE Access 12, 41464-41478, 2024 | 1 | 2024 |
| Data-Driven Approach to Estimate WCET for Real-Time Systems V Kumar Indian Institute of Science Bangalore, 2024 | | 2024 |
Akash KumarFull Professor, Chair of Embedded Systems, Ruhr University BochumEmail verificata su rub.de