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B01=Kegen Yu
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Positioning and Navigation Using Machine Learning Methods

English

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.

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Current price €164.34
Original price €172.99
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Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 18 Sep 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819761982

About

Kegen Yu is currently Distinguished Professor in the School of Environment Science and Spatial Informatics at China University of Mining and Technology (CUMT) Xuzhou China. He received his bachelor's degree from Changchun Geological College (now Jilin University) Changchun China in 1983; masters degree from Australian National University Canberra Australia in 1999; and Ph.D. degree from the University of Sydney Australia in 2003. He then participated in a number of research and development projects as Task Leader or Principal Investigator in various institutions in Finland Australia and China including Pervasive Ultra-wideband Low Spectral Energy Radio Systems (PULSERS) SAR Formation Flying (Garada) GNSS-R-based Ground Snow Water Equivalent Measurement GNSS-R based Sea Rainfall Intensity Retrieval etc. Prof. Yu's research focuses on the fields of positioning navigation and remote sensing. Prof. Yu was awarded Hubei Provincial One Hundred Talents Program and received the honor of Distinguished Expert of Hubei Province in 2015. He has co-authored 6 books and more than 150 journal papers. He is also Senior Member of IEEE and Member of Navigation Systems Panel of IEEE AESS. He was ranked in the world's top 2% scientists list in 2022 by Stanford University and Elsevier.

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