Prediction of Ship Track Anomaly based on AIS data using Long Short-Term Memory (LSTM) and DBSCAN
Author:
Affiliation:
1. School of Electrical Engineering and Informatics, Institut Teknologi Bandung (ITB),Bandung,Indonesia
Funder
Ministry of Communication and Information Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9970764/9970772/09970940.pdf?arnumber=9970940
Reference22 articles.
1. PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering
2. AIS-Based Intelligent Vessel Trajectory Prediction Using Bi-LSTM
3. A distance-based trajectory outlier detection method on maritime traffic data
4. Vessel Sailing Patterns Analysis from S-AIS Data Dased on K-means Clustering Algorithm
5. Anomaly Detection in Vessel Tracking Using Support Vector Machines (SVMs)
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1. Spectrum Situational Awareness Model Based on Wave Propagation Loss Characteristics and Distributed Electromagnetic Spectrum Detection Method;2024 Photonics & Electromagnetics Research Symposium (PIERS);2024-04-21
2. A Computationally Inexpensive Method for Anomaly Detection in Maritime Trajectories from AIS Dataset;Lecture Notes in Networks and Systems;2024
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