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OverviewFull Product DetailsAuthor: Ran Yan (Research Assistant Professor, The Hong Kong Polytechnic University, Department of Logistics and Maritime Studies, China) , Shuaian Wang (Professor, The Hong Kong Polytechnic University, Department of Logistics and Maritime Studies, China)Publisher: Institution of Engineering and Technology Imprint: Institution of Engineering and Technology ISBN: 9781839535598ISBN 10: 1839535598 Pages: 319 Publication Date: 15 February 2023 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsChapter 1: Introduction of maritime transportation Chapter 2: Ship inspection by port state control Chapter 3: Introduction to data-driven models Chapter 4: Key elements of data-driven models Chapter 5: Linear regression models Chapter 6: Bayesian networks Chapter 7: Support vector machine Chapter 8: Artificial neural network Chapter 9: Tree-based models Chapter 10: Association rule learning Chapter 11: Cluster analysis Chapter 12: Classic and emerging approaches to solving practical problems in maritime transport Chapter 13: Incorporating shipping domain knowledge into data-driven models Chapter 14: Explanation of black-box ML models in maritime transport Chapter 15: Linear optimization Chapter 16: Advanced linear optimization Chapter 17: Integer optimization Chapter 18: ConclusionReviewsAuthor InformationRan 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 University in China in 2018 and her Master of Philosophy and Doctor of Philosophy degrees from The Hong Kong Polytechnic University in 2020 and 2022, respectively. Dr. Yan's research interests include applying data analytics methods and technologies to improve shipping efficiency and green shipping management. Dr. Yan has published more than 30 papers in international journals and conference proceedings, such as Transportation Research Part B/C/E, Transport Policy, Journal of Computational Science, Maritime Policy & Management, Ocean Engineering, Engineering, Sustainability, and Electronic Research Archive, and won several times of best paper/student paper award from international conferences. Dr. Yan is an editorial assistant of Cleaner Logistics and Supply Chain. Shuaian Wang is currently Professor at The Hong Kong Polytechnic University (PolyU), China. Prior to joining PolyU, he worked as a faculty member at Old Dominion University, USA, and the University of Wollongong, Australia. Dr. Wang's research interests include big data in shipping, green shipping, shipping operations management, port planning and operations, urban transport network modeling, and logistics and supply chain management. Dr. Wang has published over 200 papers in journals such as Transportation Research Part B, Transportation Science, and Operations Research. Dr. Wang is an editor-in-chief of Cleaner Logistics and Supply Chain and Communications in Transportation Research, an associate editor of Transportation Research Part E, Flexible Services and Manufacturing Journal, Transportmetrica A, and Transportation Letters, a handle editor of Transportation Research Record, an editorial board editor of Transportation Research Part B, and an editorial board member of Maritime Transport Research. Dr. Wang dedicates to rethinking and proposing innovative solutions to improve the efficiency of maritime and urban transportation systems, to promote environmental friendly and sustainable practices, and to transform business and engineering education. Tab Content 6Author Website:Countries AvailableAll regions |