Meng Hui

DAM-YOLO: A Lightweight and Accurate Multi-Scale Model for Dam Crack Detection

Haoyu Dang, Leilei Dong, Nan Lian, Chuan Zhang et autres

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Adaptive MPC for vehicle path tracking with online horizon adaptation equivalent tire modeling and friction-adaptive constraints

Tianhao Yu, Meng Hui, Fei Ma, Guorong Chu et autres

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Exponential synchronization of complex networks via dynamic intermittent adaptive event-triggered control

Fei Ma, Meng Hui, Fan Li, Tianhao Yu

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DSF-DETR: End-to-End SAR Ship Detection via Spatial-Frequency State-Space Modeling and Dynamic Attention

Yunqi Zhang, Lin Bai, Wenqing Zhou, Danni Xue et autres

Synthetic aperture radar (SAR) ship detection sup ports maritime surveillance, but remains difficult due to multiplicative speckle, complex coastal clutter, and large-scale variation in ship size. CNN-based detectors often trade noise suppression for detail and typically rely on post-processing such as non-maximum …

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C2F-GESNet: Synergizing Global Dynamics and Local Topology for UAV-H 2 Imagery Classification via a Coarse-to-Fine Framework

Wenqing Zhou, Lin Bai, Danni Xue, Yunqi Zhang et autres

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TriFusion-YOLO: A Three-Stream Context–Aggregation–Reasoning Framework for Bridge Defect Detection

Yuting Xian, Liu Ji, Meng Hui, Chuan Zhang et autres

Bridge structural health monitoring increasingly relies on automated vision-based inspection, yet conventional detectors often struggle with small cracks, low-contrast efflorescence, and texture-similar degradations. These challenges result in semantic loss in shallow layers, limited deep feature discrimination, and suboptimal multi-scale feature fusion, leading …

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Mechanistic study of ANXA3-mediated endoplasmic reticulum stress promoting M1 macrophage polarization in pulmonary arterial hypertension based on bioinformatics and nine machine learning algorithms

Xing Chen, XU Li-ping, Lixiang Li, Liulin Yang et autres

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Neural Network-Based Disturbance Observer for Vehicle Platoon Control

Wenjia Luo, Rui Yao, Hao Zhang, Qun Ma et autres

This paper establishes a coupled vehicle kinematics and dynamics model based on the pilot-follower architecture. To address the limitations of traditional observers in approximating composite disturbances—particularly in accuracy and adaptive capability—this paper introduce an adaptive neural network disturbance observer. The observer employs …

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Robust exponential synchronization for uncertain spatio-temporal networks with multi-coupling: A delay-compensation impulsive control approach

Aobo Jia, Meng Hui, Hao Zhang, Kang Li et autres

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Research on spatio-temporal cascade failure model of urban road network

Shenghao Pan, Meng Hui, Qun Ma, Hao Zhang et autres

Sudden natural disasters such as rainstorms and geological disasters will have a significant impact on the road network. The failure of road networks caused by disasters has spatiotemporal characteristics, and in-depth research on the spatiotemporal cascading failure model of road networks under …

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Robust Exponential Synchronization for Uncertain Spatio-Temporal Networks with Multi-Coupling: A Delay-Compensation Impulsive Control Approach

Aobo Jia, Meng Hui, Hao Zhang, Kang Li et autres

Exponential Synchronization of Complex Spatio-Temporal Networks with Reaction-Diffusion Terms via Intermittent Pinning Adaptive Control

Meng Hui, Hao Zhang, Kang Li, Qun Ma

In this paper, the synchronization problem of complex spatio-temporal networks (CSNs) with reaction-diffusion terms is studied. By using Lyapunov functional method, differential inequality method and adaptive technology, the exponential synchronization of CSNs is realized by introducing intermittent pinning adaptive control, and the …

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