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Long Wen

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Open access 2026

A New Confidence-Aware Adaptive Multi-Object Tracking for Unmanned Aerial Vehicles

: Multi-object tracking (MOT) for unmanned aerial vehicles (UAVs) remains challenging due to rapid camera motion, frequent occlusion, scale variation, and unreliable detections, all of which degrade the robustness of data association. Existing detection-based tracking methods generally rely on fixed fusion strategies w...

Long Wen, Yu-Tao Chen, Yu-Xi Liu et al. · 0 citations
Sep 2026

An interpretable graph neural network inspired by graph signal processing for mechanical fault diagnosis

As mechanical equipment grows more complex, multi-sensor monitoring and data fusion are essential for accurate fault diagnosis. While graph neural networks (GNNs) are popularly used in this field, their performance evaluations remain largely empirical, lacking a unified theoretical framework to explain and assess the...

Meng-Han Yuan, Hao Wang, Ming Zeng et al. · 0 citations
Open access Aug 2026

A Multi-UAV Cooperative Path-Planning Method for Complex Obstacle Environments

Experimental results demonstrate that the Improved Experience Replay Multi-Agent Deep Deterministic Policy Gradient algorithm outperforms other comparison algorithms in terms of convergence speed, training stability, and path-planning performance.

Long Wen, Hui Tan, Yuxi Liu et al. · 0 citations

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