Applications of Machine Learning and Data Analytics Models in Maritime Transportation - Hardcover

Ran, Yan

 
9781839535598: Applications of Machine Learning and Data Analytics Models in Maritime Transportation
Hardcover
ISBN 10: 1839535598 ISBN 13: 9781839535598
Verlag: Institute of Electrical Engineers, 2023

Inhaltsangabe

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

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorinnen und Autoren

Ran 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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Institute of Electrical Engineers
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
1839535598
ISBN 13 
9781839535598
Einband
Tapa dura
Anzahl der Seiten
322
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar