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Dong-Ming Liu

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Open access Sep 2026

GEMS-DQN: A Global-Enhanced Multi-Agent Scheduling Deep Q-Network for Collaborative Charging Decision Optimization in Multiple UAV Systems

To address charging-resource contention and task-allocation conflicts in multi-UAV operations supported by a single mobile charging vehicle (MCV), this paper develops GEMS-DQN (Global-Enhanced Multi-Agent Scheduling Deep Q-Network), a centralized discrete-action scheduling framework for coordinated task and charging de...

Shan Dan, Meng Zhang, Dong-Ming Liu et al. · 0 citations
Open access Sep 2026

Bridging the Scale Gap: A Multi-Scale Feature Enhancement Framework for UAV Aerial Image Object Detection

Highlights What are the main findings? A UAV-specific RT-DETR framework, termed MSF-DETR, is developed to improve feature representation and query optimization for aerial object detection. Experiments on the DIOR and DOTA datasets show that MSF-DETR consistently outperforms RT-DETR and representative baseline detectors...

Shan Dan, Zan-Qi Qiu, Da-Di Cai et al. · 0 citations
Sep 2026

Dynamic unmanned aerial vehicle path planning for rescue missions using trajectory-predictive and attention-enhanced deep recurrent SARSA

This paper proposes a trajectory-predictive and attention-enhanced deep recurrent State-Action-Reward-State-Action (SARSA) algorithm (PA-DR-SARSA), which incorporates future motion information into on-policy reinforcement learning through a Gated Recurrent Unit–based trajectory prediction module that learns temporal mo...

Shan Dan, Meng Zhang, Dong-Ming Liu et al. · 0 citations

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