Plant Disease Detection Based on YOLOv3 and YOLOv4 A Shill, MA Rahman 2021 International Conference on Automation, Control and Mechatronics for …, 2021 | 30 | 2021 |
An adaptive background modeling based on modified running Gaussian average method MA Rahman, B Ahmed, MA Hossian, MNI Mondal 2017 International Conference on Electrical, Computer and Communication …, 2017 | 13 | 2017 |
A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents T Liu, J McCalmon, T Le, MA Rahman, D Lee, S Alqahtani Autonomous Agents and Multi-Agent Systems 37 (2), 34, 2023 | 3 | 2023 |
Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness T Liu, J McCalmon, MA Rahman, C Lischke, T Halabi, S Alqahtani International Conference on Principles and Practice of Multi-Agent Systems …, 2022 | 2 | 2022 |
Task-Agnostic Safety for Reinforcement Learning MA Rahman, S Alqahtani Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 1 | 2023 |
Adversarial Behavior Exclusion for Safe Reinforcement Learning MA Rahman, T Liu, S Alqahtani Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 1 | 2023 |
SQ-FMFO: A novel scalarized Multi-objective Q-learning approach for Fuzzy membership function optimization B Badhon, MMJ Kabir, MA Rahman, S Xu International Journal of Fuzzy Systems 25 (2), 633-646, 2022 | 1 | 2022 |
LSTM-Based Anomalous Behavior Detection in Multi-Agent Reinforcement Learning C Lischke, T Liu, J McCalmon, MA Rahman, T Halabi, S Alqahtani 2022 IEEE International Conference on Cyber Security and Resilience (CSR), 16-21, 2022 | 1 | 2022 |
Explainability for safety in reinforcement learning T Liu, MA Rahman, J McCalmon, S Alqahtani | 1 | 2022 |
Real-Time IoT Solutions for Automating Occupational Safety in 3rd World Industries K Gharami, M Islam, A Barai, MA Rahman, SM Shovan, MAY Srizon | | 2024 |