Jian-Kun Xiao

AIS-Based Abnormal Ship Behavior Detection for Sustainable Maritime Traffic Management Using a Dual-Error Fusion LSTM–Transformer Framework

The results verify the effectiveness of dual-error fusion for detecting heterogeneous abnormal ship behaviors from AIS trajectories and can serve as an alert-prioritization tool for vessel traffic services and port authorities by directing attention to atypical trajectories that require timely review, thereby supportin...