Maritime Security and Risk Assessments

ISBN 10: 3725816778 / ISBN 13: 9783725816774

Published by MDPI AG, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This reprint delves into the intricate world of maritime operations and security, highlighting the complexities and challenges involved in maintaining the safety and cleanliness of shipping. The main themes of the chapters presented revolve around various facets of maritime operations and security, focusing on maritime anomaly detection, collision risk assessment and the use of AIS data to enhance maritime safety and surveillance. Contributions cover a wide range of topics in the maritime domain, including trajectory clustering, kinematic behaviour analysis, Bayesian networks for risk assessment, resilience analysis of shipping networks, and the development of innovative methods for detecting anomalous behaviour in maritime traffic. By using data-driven approaches, statistical methods and cutting-edge technologies, the authors aim to improve maritime operations and safety, ultimately leading to a safer maritime environment for all stakeholders.

Seller Inventory # 9783725816774

Bibliographic Details

• Title: Maritime Security and Risk Assessments
• Publisher: MDPI AG
• Publication Date: 2024
• Language: English
• ISBN 10: 3725816778
• ISBN 13: 9783725816774
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 26D millimeters 250 millimeters width by 175 millimeters height by 26 millimeters depth
• Weight: 1044 grams

About this title

Synopsis

This reprint delves into the intricate world of maritime operations and security, highlighting the complexities and challenges involved in maintaining the safety and cleanliness of shipping. The main themes of the chapters presented revolve around various facets of maritime operations and security, focusing on maritime anomaly detection, collision risk assessment and the use of AIS data to enhance maritime safety and surveillance. Contributions cover a wide range of topics in the maritime domain, including trajectory clustering, kinematic behaviour analysis, Bayesian networks for risk assessment, resilience analysis of shipping networks, and the development of innovative methods for detecting anomalous behaviour in maritime traffic. By using data-driven approaches, statistical methods and cutting-edge technologies, the authors aim to improve maritime operations and safety, ultimately leading to a safer maritime environment for all stakeholders.