Positioning and Navigation Using Machine Learning Methods

Kegen Yu
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Positioning and Navigation Using Machine Learning Methods

Kegen Yu
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Found in: Science & Nature, General Science

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Overview

374 PAGESENGLISH

Promotional Details
  • Published date: Sep 19, 2025
  • Language: English
  • No. of Pages: 374
  • Publisher: Springer Nature
  • ISBN: 9789819762019
  • Dimensions: 6.1" W x 1.0" L x 9.25" H

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; master's 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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