Mission-Critical Application Driven Intelligent Maritime Networks
This book shares valuable insights into high-efficiency data transmission scheduling and into a group intelligent search and rescue approach for artificial intelligence (AI)-powered maritime networks. Its goal is to highlight major research direction
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Tingting Yang Xuemin (Sherman) Shen
Mission-Critical Application Driven Intelligent Maritime Networks 123
SpringerBriefs in Computer Science Series Editors Stan Zdonik, Brown University, Providence, RI, USA Shashi Shekhar, University of Minnesota, Minneapolis, MN, USA Xindong Wu, University of Vermont, Burlington, VT, USA Lakhmi C. Jain, University of South Australia, Adelaide, SA, Australia David Padua, University of Illinois Urbana-Champaign, Urbana, IL, USA Xuemin Sherman Shen, University of Waterloo, Waterloo, ON, Canada Borko Furht, Florida Atlantic University, Boca Raton, FL, USA V. S. Subrahmanian, University of Maryland, College Park, MD, USA Martial Hebert, Carnegie Mellon University, Pittsburgh, PA, USA Katsushi Ikeuchi, University of Tokyo, Tokyo, Japan Bruno Siciliano, Università di Napoli Federico II, Napoli, Italy Sushil Jajodia, George Mason University, Fairfax, VA, USA Newton Lee, Institute for Education, Research and Scholarships, Los Angeles, CA, USA
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Tingting Yang Xuemin (Sherman) Shen •
Mission-Critical Application Driven Intelligent Maritime Networks
123
Tingting Yang School of Electrical Engineering and Intelligentization Dongguan University of Technology Dongguan, Guangdong, China
Xuemin (Sherman) Shen Department of Electrical and Computer Engineering University of Waterloo Waterloo, ON, Canada
ISSN 2191-5768 ISSN 2191-5776 (electronic) SpringerBriefs in Computer Science ISBN 978-981-15-4411-8 ISBN 978-981-15-4412-5 (eBook) https://doi.org/10.1007/978-981-15-4412-5 © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publishe
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