| Learning at the edge: Mobile edge computing and reinforcement learning for enhanced web application performance K Moghaddasi, S Rajabi 2023 9th International Conference on Web Research (ICWR), 300-304, 2023 | 8 | 2023 |
| An energy-efficient data offloading strategy for 5G-enabled vehicular edge computing networks using double deep Q-network K Moghaddasi, S Rajabi, F Soleimanian Gharehchopogh, ... Wireless Personal Communications 133 (3), 2019-2064, 2023 | 3 | 2023 |
| Double Deep Q-Learning Networks for Energy-Efficient IoT Task Offloading in D2D MEC Environments K Moghaddasi, S Rajabi 2023 7th International Conference on Internet of Things and Applications …, 2023 | 3 | 2023 |
| Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach K Moghaddasi, S Rajabi, FS Gharehchopogh IEEE Access, 2024 | 2 | 2024 |
| An enhanced asynchronous advantage actor-critic-based algorithm for performance optimization in mobile edge computing-enabled internet of vehicles networks K Moghaddasi, S Rajabi, FS Gharehchopogh Peer-to-Peer Networking and Applications, 1-21, 2024 | 1 | 2024 |
| Blockchain-Enhanced Offloading in Mobile Edge Computing: A Systematic Review and Survey of Current Trends and Future Directions K Moghaddasi, S Rajabi arXiv preprint arXiv:2403.05961, 2024 | | 2024 |
| IoT-Driven Water Quality Management System using Deep Q-Network S Rajabi, K Moghaddasi 2023 14th International Conference on Information and Knowledge Technology …, 2023 | | 2023 |
komeil MoghaddasiDepartment of IT and Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, IranVerified email at ieee.org
