Research on Deep Learning-Based Defect Detection Method for Insulation Equipment on Transmission Lines Using Unmanned Aerial Vehicles
Chuanlei Zhang, Siqi Gu, Jingjing Pan, Pengfei Li, Yan Wan, Haifeng Fan, et al.
4 papers indexed
Chuanlei Zhang, Siqi Gu, Jingjing Pan, Pengfei Li, Yan Wan, Haifeng Fan, et al.
Taorui Wang, Wei Xia, Hui Ma, Zijia Song, Jiayu Zhang, Zeheng Wang, et al.
Micro-gesture recognition demands the detection of fleeting, spatially localized movements that are frequently overwhelmed by dominant static appearances and background noise. While Multimodal Large Language Models (MLLMs) excel at general video understanding, they inherently str…
Qingzhong Li, Yue Hu, Hui Ma, Yajun Zhang, Xinjun Pei, Ming Yan, et al.
Accurate forecasting of cellular network traffic is essential for network planning, resource allocation, and quality-of-service assurance in modern mobile communication systems. Real-world traffic often exhibits bursty endogenous dynamics and disturbances triggered by external ur…
Precise navigation is essential for autonomous underwater vehicles (AUVs). The measurement deviation of the navigation sensors, especially the microelectromechanical systems (MEMS) sensors, is a crucial factor that affects the localization accuracy. Deep learning is a novel metho…