A novel community-driven recommendation-based approach to predict and select friendships on the social IoT utilizing deep reinforcement learning
The study of how to integrate Complex Networks (CN) within the Internet of Things (IoT)
ecosystem has advanced significantly because of the field's recent expansion. CNs can …
ecosystem has advanced significantly because of the field's recent expansion. CNs can …
Efficient and Accurate Leakage Points Detection in Gas Pipeline Using Reinforcement Learning-Based Optimization
Obtaining gas concentration leak data plays a crucial role in managing the safe
maintenance and timely, effective, and accurate identification of chemical facilities' leak …
maintenance and timely, effective, and accurate identification of chemical facilities' leak …
Dynamic weight reinforcement learning method considering multiple factors in mobile edge computing system
S Li, Y Zhou, X Liu, N Wang, J Wang, B Zhou, Z Wang - Neurocomputing, 2024 - Elsevier
The accelerated advancement of Mobile Edge Computing (MEC) has facilitated significant
progressions in digital medical diagnostic services. However, the multi-region, multi-user …
progressions in digital medical diagnostic services. However, the multi-region, multi-user …
Tugboat Scheduling Method Based on the NRPER-DDPG Algorithm: An Integrated DDPG Algorithm with Prioritized Experience Replay and Noise Reduction
J Li, X Duan, Z Xiong, P Yao - Sustainability, 2024 - mdpi.com
The scheduling of harbor tugboats is a crucial task in port operations, aiming to optimize
resource allocation and reduce operational costs, including fuel consumption of tugboats …
resource allocation and reduce operational costs, including fuel consumption of tugboats …