[HTML][HTML] Power flow adjustment for smart microgrid based on edge computing and multi-agent deep reinforcement learning
In current power grids, a massive amount of power equipment raises various emerging
requirements, eg, data perception, information transmission, and real-time control. The …
requirements, eg, data perception, information transmission, and real-time control. The …
[HTML][HTML] HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning
Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are
widely employed in cloud computing, disaster relief, and various applications. How to …
widely employed in cloud computing, disaster relief, and various applications. How to …
[HTML][HTML] Transient Data Caching Based on Maximum Entropy Actor–Critic in Internet-of-Things Networks
Y Zhang, N Chen, S Yu, L Hu - International Journal of Computational …, 2024 - Springer
With the rapid development of the Internet-of-Things (IoT), a massive amount of transient
data is transmitted in edge networks. Transient data are highly time-sensitive, such as …
data is transmitted in edge networks. Transient data are highly time-sensitive, such as …
Deep reinforcement learning for secure Internet of Things
M Abdel-Basset, N Moustafa, H Hawash… - … learning techniques for …, 2022 - Springer
Reinforcement learning (RL) is identified as a branch of artificial intelligence (AI) the seek to
addresses the dilemma of automated learning of ideal determinations throughout time …
addresses the dilemma of automated learning of ideal determinations throughout time …
Content sharing prediction for device-to-device (D2D)-based offline mobile social networks by network representation learning
With the explosion of cellular data, the content sharing in proximity among offline Mobile
Social Networks (MSNs) has received significant attention. It is necessary to understand the …
Social Networks (MSNs) has received significant attention. It is necessary to understand the …