Yi Dou

Multi-Source Deep-Learning Reconstruction of Monthly Arctic Sea Ice Thickness Constrained by Satellite and In Situ Observations

Monthly Arctic sea ice thickness (SIT) fields are needed for sea ice volume estimation and climate diagnostics, but continuous reconstruction remains challenging because in situ observations are sparse and satellite retrievals are uncertain. We present ArcticSIT-ReconNet, a multi-source deep-learning framework that com...

Cooperative fencing control for uncertain multiple nonholonomic vehicles with self-organized formation

Advanced Autonomous Frameworks and Deep Learning Architectures for UAV-Based Power System Inspection

The regular inspection and structural verification of high-voltage energy transmission lines constitute a critical operational imperative for maintaining the stability, safety, and reliability of global energy infrastructures. Historically, the energy sector has relied on manual, labor-intensive inspection methodologie...