Deep reinforcement learning for traffic signal control: A review F Rasheed, KLA Yau, RM Noor, C Wu, YC Low IEEE Access 8, 208016-208044, 2020 | 85 | 2020 |
Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway city, Malaysia F Rasheed, KLA Yau, YC Low Future Generation Computer Systems 109, 431-445, 2020 | 53 | 2020 |
6G and Intelligent Healthcare: Taxonomy, technologies, open issues and future research directions A Ahad, Z Jiangbina, M Tahir, I Shayea, MA Sheikh, F Rasheed Internet of Things, 101068, 2024 | 9 | 2024 |
Deep Reinforcement Learning for Addressing Disruptions in Traffic Light Control. F Rasheed, KLA Yau, RM Noor, YW Chong Computers, Materials & Continua 71 (2), 2022 | 9 | 2022 |
The Role of Deep Learning in Parking Space Identification and Prediction Systems F Rasheed, Y Saleem, KLA Yau, YW Chong, SL Keoh Computers, Materials and Continua 75 (1), 761-784, 2023 | 1 | 2023 |
Leveraging Empowerment to Model Tool Use in Reinforcement Learning F Rasheed, D Polani, NC Volpi 2023 IEEE International Conference on Development and Learning (ICDL), 28-36, 2023 | | 2023 |
Multi-agent deep Q-network for traffic signal control under rainfall: a case study on Sunway city, Malaysia R Faizan Sunway University, 2021 | | 2021 |