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Collection : Mines Paristech
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Conference

Path planning for a maritime surface ship based on Deep Reinforcement Learning and weather forecast

Subjects: Path Planning; Reinforcement Learning; Maritime Domain AwarenessSan Diego; CA; United States

  • Source: IEEE/MTS OCEANS 2021 ; https://hal.science/hal-03726769 ; IEEE/MTS OCEANS 2021, Sep 2021, San Diego, CA, United States ; https://global21.oceansconference.org/

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Conference

A Hybrid Approach for the Analysis of Abnormal Ship Behaviors

Subjects: Maritime Domain Awareness; Ontology; Data MiningIspra; Italy

  • Source: Maritime Knowledge Discovery and Anomaly Detection Workshop Proceedings ; Maritime Knowledge Discovery and Anomaly Detection Workshop ; https://minesparis-psl.hal.science/hal-01421584 ; Maritime

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Dissertation/ Thesis

Ship behavior recognition in a sensitive port area using probabilistic and event-driven approaches : application to the Port of Marseilles ; Reconnaissance de comportements de navires dans une zone portuaire sensible par approches probabiliste et événementielle : application au Grand Port Maritime de Marseille

Subjects: Ship behavior recognition; Decision support; Probabilistic approach

  • Source: https://pastel.hal.science/pastel-00737678 ; Architecture, aménagement de l'espace. Ecole Nationale Supérieure des Mines de Paris, 2012. Français. ⟨NNT : 2012ENMP0022⟩.

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Academic Journal

How can ports act to reduce underwater noise from shipping? Identifying effective management frameworks ; Comment les ports peuvent-ils agir pour réduire le bruit sous-marin provenant du transport maritime? Identifier des cadres de gestion efficaces

Subjects: Noise; Ocean; Pollution

  • Source: ISSN: 0025-326X.

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Academic Journal

Port call extraction from vessel location data for characterising harbour traffic

Subjects: Port activity; Port calls; AIS

  • Source: ISSN: 0029-8018.

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Conference

Exploiting the Potential of the Future “Maritime Big Data”

Subjects: Maritime surveillance; early detection; heterogeneous correlationIspra; Italy

  • Source: Maritime Knowledge Discovery and Anomaly Detection Workshop Proceedings ; Maritime Knowledge Discovery and Anomaly Detection Workshop ; https://minesparis-psl.hal.science/hal-01421611 ; Maritime

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Conference

DeAIS project: Detection of AIS Spoofing and Resulting Risks

Subjects: utomatic Identification System (AIS); maritime risks; data miningGênes; Italy

  • Source: MTS/IEEE OCEANS'15 ; https://minesparis-psl.hal.science/hal-01166151 ; MTS/IEEE OCEANS'15, IEEE, May 2015, Gênes, Italy

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Conference

Using Ontologies for Proposing Adequate Geovisual Analytics Solutions in the Analysis of Trajectories

Subjects: geovisual analytics; ontologies; rulesParis; France

  • Source: Proceedings of the International Conference on Information Visualisation ; iV 2014 : 18th International Conference on Information Visualisation ; https://minesparis-psl.hal.science/hal-01026364 ; iV

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Conference

Spatial ontologies for detecting abnormal maritime behaviour

Subjects: Anomaly detection; Automated reasoning; Maritime surveillance systemsYeosu; North Korea

  • Source: Proceedings of Oceans 2012 MTS/IEEE Yeosu: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities ; Oceans 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast -

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Academic Journal

Securing harbor by combining probabilistic approach with event-based approach

Subjects: Hidden Markov Models; Reactive synchronous language; Decision support

  • Source: ISSN: 0141-1187 ; Applied Ocean Research ; https://minesparis-psl.hal.science/hal-00999435 ; Applied Ocean Research, 2014, 47, pp.98-109. ⟨10.1016/j.apor.2013.12.004⟩.

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