Henric Johnson

Data mining approach to shipping route characterization and anomaly detection based on AIS data

Vessels Cybersecurity: Issues, Challenges, and the Road Ahead

Predicting Ship Trajectory Based on Neural Networks Using AIS Data

Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels

Potential Fields in Maritime Anomaly Detection

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology

Grid Size Optimization for Potential Field based Maritime Anomaly Detection

Open data for anomaly detection in maritime surveillance

Maritime vessel traffic modeling in the context of concept drift