Wang Shuaian (24 results)

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Hardback. Condition: New. Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models. Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field. The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.…

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Condition: As New. Unread book in perfect condition.

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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Kartoniert / Broschiert. Condition: New. Introduces the latest research on maritime transportation problems Analyzes problems of liner ship fleet planning, taking uncertainty into account Promotes the use of mathematics to manage uncertainty, using stochastic programming.

Condition: New. In English.

Paperback. Condition: Brand New. 189 pages. 9.00x6.00x0.75 inches. In Stock.

Hardback. Condition: New. Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models. Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field. The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.…

Hardcover. Condition: Brand New. 300 pages. 9.25x6.25x0.75 inches. In Stock.

Hardback. Condition: New. Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models. Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field. The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.…

Condition: New. &Uumlber den AutorRan Yan is a research assistant professor in the Department of Logistics and Maritime Studies at The Hong Kong Polytechnic University (PolyU), China. Dr. Yan received her Bachelor of Science degree from Hohai Univer.

Buch. Condition: Neu. Neuware - Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. The purpose of this book is to provide maritime researchers and professionals with insights into the use of data-driven models, especially those considering shipping domain knowledge.…

Hardback. Condition: New. Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models. Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field. The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.…

Hardcover. Condition: new. Hardcover. Technological innovation is reshaping the maritime industry at an unprecedented pace. The emergence of smart seaports and advanced maritime transport management systems marks a significant step toward more efficient, sustainable, and secure global shipping operations. By integrating technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, operations research, and automation, modern ports and maritime networks are evolving into intelligent, interconnected systems that are capable of optimizing terminal activities, improving vessel coordination, and strengthening supply chain performance.This Reprint brings together selected contributions that reflect the latest developments and practical applications in smart seaport and maritime transport management. It presents cutting-edge research, analytical models, technological innovations, and real-world case studies that address operational efficiency, digital transformation, environmental performance, and system resilience. By consolidating these works into a single volume, this Reprint offers readers a comprehensive overview of the current progress and emerging trends in intelligent maritime systems. It serves as a valuable reference for researchers, academics, policymakers, and industry practitioners seeking to better understand and implement advanced digital solutions within port and maritime environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Technological innovation is reshaping the maritime industry at an unprecedented pace. The emergence of smart seaports and advanced maritime transport management systems marks a significant step toward more efficient, sustainable, and secure global shipping operations. By integrating technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, operations research, and automation, modern ports and maritime networks are evolving into intelligent, interconnected systems that are capable of optimizing terminal activities, improving vessel coordination, and strengthening supply chain performance.This Reprint brings together selected contributions that reflect the latest developments and practical applications in smart seaport and maritime transport management. It presents cutting-edge research, analytical models, technological innovations, and real-world case studies that address operational efficiency, digital transformation, environmental performance, and system resilience. By consolidating these works into a single volume, this Reprint offers readers a comprehensive overview of the current progress and emerging trends in intelligent maritime systems. It serves as a valuable reference for researchers, academics, policymakers, and industry practitioners seeking to better understand and implement advanced digital solutions within port and maritime environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Technological innovation is reshaping the maritime industry at an unprecedented pace. The emergence of smart seaports and advanced maritime transport management systems marks a significant step toward more efficient, sustainable, and secure global shipping operations. By integrating technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, operations research, and automation, modern ports and maritime networks are evolving into intelligent, interconnected systems that are capable of optimizing terminal activities, improving vessel coordination, and strengthening supply chain performance.This Reprint brings together selected contributions that reflect the latest developments and practical applications in smart seaport and maritime transport management. It presents cutting-edge research, analytical models, technological innovations, and real-world case studies that address operational efficiency, digital transformation, environmental performance, and system resilience. By consolidating these works into a single volume, this Reprint offers readers a comprehensive overview of the current progress and emerging trends in intelligent maritime systems. It serves as a valuable reference for researchers, academics, policymakers, and industry practitioners seeking to better understand and implement advanced digital solutions within port and maritime environments. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Liner Ship Fleet Planning: Models and Algorithms systematically introduces the latest research on modeling and optimization for liner ship fleet planning with demand uncertainty. Container shipping companies have struggled since the financial crisis of 2007-2008, making it critical for them to make informed decisions about their fleet planning and development. Current and future shipping professionals require systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping responsibilities. Liner Ship Fleet Planning addresses these needs, providing the most recent quantitative research of liner shipping in maritime transportation. The research and methods provided assist those tasked with optimizing shipping efficiency and fleet deployment in the face of uncertain demand. Suitable for those with any level of quantitative background, the book serves as a valuable resource for both maritime academics, and shipping professionals involved in planning and scheduling departments. 204 pp. Englisch.…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Technological innovation is reshaping the maritime industry at an unprecedented pace. The emergence of smart seaports and advanced maritime transport management systems marks a significant step toward more efficient, sustainable, and secure global shipping operations. By integrating technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, operations research, and automation, modern ports and maritime networks are evolving into intelligent, interconnected systems that are capable of optimizing terminal activities, improving vessel coordination, and strengthening supply chain performance.This Reprint brings together selected contributions that reflect the latest developments and practical applications in smart seaport and maritime transport management. It presents cutting-edge research, analytical models, technological innovations, and real-world case studies that address operational efficiency, digital transformation, environmental performance, and system resilience. By consolidating these works into a single volume, this Reprint offers readers a comprehensive overview of the current progress and emerging trends in intelligent maritime systems. It serves as a valuable reference for researchers, academics, policymakers, and industry practitioners seeking to better understand and implement advanced digital solutions within port and maritime environments.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Liner Ship Fleet Planning: Models and Algorithms systematically introduces the latest research on modeling and optimization for liner ship fleet planning with demand uncertainty. Container shipping companies have struggled since the financial crisis of 2007-2008, making it critical for them to make informed decisions about their fleet planning and development. Current and future shipping professionals require systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping responsibilities. Liner Ship Fleet Planning addresses these needs, providing the most recent quantitative research of liner shipping in maritime transportation. The research and methods provided assist those tasked with optimizing shipping efficiency and fleet deployment in the face of uncertain demand. Suitable for those with any level of quantitative background, the book serves as a valuable resource for both maritime academics, and shipping professionals involved in planning and scheduling departments.…

Buch. Condition: Neu. Smart Seaport and Maritime Transport Management | Buch | Englisch | 2026 | MDPI AG | EAN 9783725871346 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.