This paper studies an unmanned aerial vehicle (UAV)-assisted wireless powered IoT network, where a rotary-wing UAV adopts fly-hover-communicate protocol to successively visit IoT devices in demand.
Abstract: With the rapidly increase demand on reliable wireless communication for rail scenarios, especially for real-time services, the resource limitations of on-board users are becoming ...
Aerospace and Mechanical Insider on MSN
Hierarchical reinforcement learning boosts air defense efficiency
Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
The algorithm consists of two networks, an Actor and a Critic network, which approximate the policy and value functions of a reinforcement learning problem. The name DDPG, or Deep Deterministic Policy ...
A parallel deep reinforcement learning framework for wind-solar-hydrogen systems cuts operational costs by 6% and accelerates ...
Onboard autonomy is essential for deep-space missions, where spacecraft must navigate complex, multi-body environments with limited computational resources. Traditional guidance methods often require ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
With the advancement of technology and the continuous innovation of applications, low-latency applications such as drones, online games and virtual reality are gradually becoming popular demands in ...
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