Design of a Deep Learning-Based Ship Navigation Status Monitoring Model and Validation of Its Anomaly Detection Performance
Addressing the limitations of traditional ship navigation status monitoring, including manual inspection dependence, delayed anomaly identification, high false alarm rates, and inadequate adaptability to complex maritime environments, this paper systematically investigates a deep learning-based framework for navigation...