An Intelligent Framework for Vessel Traffic Monitoring Using AIS Data

Author:

Evmides Nicos1,Odysseos Lambros1,Michaelides Michalis P.1,Herodotou Herodotos1

Affiliation:

1. Cyprus University of Technology,Limassol,Cyprus

Publisher

IEEE

Reference21 articles.

1. AIS Data Analytics for Intelligent Maritime Surveillance Systems

2. Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data

3. Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges;vouros;EDBT,2018

4. A Stream Reasoning System for Maritime Monitoring;santipantakis;25th Intl Symp on Temporal Representation and Reasoning (TIME 2018),0

5. Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction

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1. Enhancing Prediction Accuracy of Vessel Arrival Times Using Machine Learning;Journal of Marine Science and Engineering;2024-08-10

2. Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data;Journal of Marine Science and Engineering;2024-01-12

3. Recognizing Instantaneous Group Patterns in Vessel Trajectory Data: A Snapshot Perspective;Journal of Marine Science and Engineering;2023-11-28

4. Ship Behavior Pattern Analysis Based on Graph Theory: A Case Study in Tianjin Port;Journal of Marine Science and Engineering;2023-11-24

5. A Heuristic ETL Process to Dynamically Separate and Compress AIS Data;2023 Systems and Information Engineering Design Symposium (SIEDS);2023-04-27

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