A Quasi-Intelligent Maritime Route Extraction from AIS Data [PDF]
Sensors, 2022 The rapid development and adoption of automatic identification systems as surveillance tools have resulted in the widespread application of data analysis technology in maritime surveillance and route planning.
Shem Otoi Onyango +3 more
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Architecture for Trajectory-Based Fishing Ship Classification with AIS Data [PDF]
Sensors, 2020 This paper proposes a data preparation process for managing real-world kinematic data and detecting fishing vessels. The solution is a binary classification that classifies ship trajectories into either fishing or non-fishing ships.
David Sánchez Pedroche +3 more
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Ship Classification and Anomaly Detection Based on Spaceborne AIS Data Considering Behavior Characteristics [PDF]
Sensors, 2022 With the establishment of satellite constellations equipped with ship automatic identification system (AIS) receivers, the amount of AIS data is continuously increasing, and AIS data have become an important part of ocean big data. To further improve the
Zhenguo Yan +4 more
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Long-Term Trajectory Prediction for Oil Tankers via Grid-Based Clustering
Journal of Marine Science and Engineering, 2023 Vessel trajectory prediction is an important step in route planning, which could help improve the efficiency of maritime transportation. In this article, a high-accuracy long-term trajectory prediction algorithm is proposed for oil tankers.
Xuhang Xu +4 more
doaj +1 more source
An Anomaly Detection Method for AIS Trajectory Based on Kinematic Interpolation
Journal of Marine Science and Engineering, 2021 With the enormous amount of information provided by the ship Automatic Identification System (AIS), AIS is now playing a significant role in maritime transport system-related research and development.
Shaoqing Guo +3 more
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Detection of AIS Closing Behavior and MMSI Spoofing Behavior of Ships Based on Spatiotemporal Data
Remote Sensing, 2020 In marine transportation, many ships are equipped with AIS devices. The AIS data sent by AIS devices can help the maritime authorities and other ships obtain the navigation condition of the ship, thereby ensuring the safety of ships during navigation ...
Tao Zhang +3 more
doaj +1 more source
A Visual Analysis Approach to Understand and Explore Quality Problems of AIS Data
Journal of Marine Science and Engineering, 2021 Low quality automatic identification system (AIS) data often mislead analysts to a misunderstanding of ship behavior analysis and to making incorrect navigation risk assessments.
Wei He +5 more
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Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform
IEEE Access, 2022 Thanks to the Automatic Identification System (AIS), ships and other maritime equipment are able to communicate with each other, for example, by sending information about their position. This solution allows for early collision detection when two or more
Marta Szarmach, Ireneusz Czarnowski
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Data Quality and Explainable AI
Journal of Data and Information Quality, 2020 In this work, we provide some insights and develop some ideas, with few technical details, about the role of explanations in Data Quality in the context of data-based machine learning models (ML). In this direction, there are, as expected, roles for causality, and explainable artificial intelligence .
Bertossi, Leopoldo, Geerts, Floris
openaire +2 more sources
Design and analyses of shipborne multifunctional Automatic Identification System (AIS) antenna
Journal of International Maritime Safety, Environmental Affairs, and Shipping, 2023 This paper is introducing analyses of new design of the automatic identification system (AIS) ships antenna that will serve for both VHF-band radio and satellite tracking and identification system for maritime applications.
Dimov Stojce Ilcev
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