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Positioning and Navigation Using Machine Learning Methods (Navigation: Science and Technology, 14) - Hardcover

 
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  • PublisherSpringer
  • Publication date2024
  • ISBN 10 9819761980
  • ISBN 13 9789819761982
  • BindingHardcover
  • LanguageEnglish
  • Number of pages384
  • EditorYu Kegen

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Published by Springer Verlag GmbH, 2024
ISBN 10: 9819761980 ISBN 13: 9789819761982
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Kegen Yu
ISBN 10: 9819761980 ISBN 13: 9789819761982
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs, and LEO satellites. Most of the major machine learning methods are utilized, including supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book presents both fundamentals and in-depth studies as well as practical examples in positioning and navigation. Extensive data processing and experimental results are provided in the major chapters through conducting experimental campaigns or using in-situ measurements. 374 pp. Englisch. Seller Inventory # 9789819761982

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Kegen Yu
ISBN 10: 9819761980 ISBN 13: 9789819761982
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs, and LEO satellites. Most of the major machine learning methods are utilized, including supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book presents both fundamentals and in-depth studies as well as practical examples in positioning and navigation. Extensive data processing and experimental results are provided in the major chapters through conducting experimental campaigns or using in-situ measurements. Seller Inventory # 9789819761982

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Published by Springer, 2024
ISBN 10: 9819761980 ISBN 13: 9789819761982
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Published by Springer, 2024
ISBN 10: 9819761980 ISBN 13: 9789819761982
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Published by Springer, 2024
ISBN 10: 9819761980 ISBN 13: 9789819761982
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