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Gebrauchte Bücher von Xianju Li bei rebuy
… Dr. Weitao Chen (Member, IEEE) is a professor at the School of Computer Science, China Univ. of Geosciences (CUG). He received B.E. from Jiaozuo Institute of Technology in 2003, M.E from in 2006 and Doctor from China Univ. of Geosciences in 2012. He has published more than 30 peer-reviewed technical papers in international journals. His main research interests include machine learning and remote sensing of environment. Prof. Chen is a member of IEEE and served as a reviewer of several international journals. He was awarded the land and resources science and Technology Progress Award (second prize in 2019), and the science and technology Award (second prize) of China command and control society (second prize in 2020). He was awarded "cradle plan" talent project of China University of Geosciences and the "Chenguang plan" talent project of Youth Science and technology in Wuhan, Hubei Province
… Dr. Weitao Chen (Member, IEEE) is a professor at the School of Computer Science, China Univ. of Geosciences (CUG). He received B.E. from Jiaozuo Institute of Technology in 2003, M.E from in 2006 and Doctor from China Univ. of Geosciences in 2012. He has published more than 30 peer-reviewed technical papers in international journals. His main research interests include machine learning and remote sensing of environment. Prof. Chen is a member of IEEE and served as a reviewer of several international journals. He was awarded the land and resources science and Technology Progress Award (second prize in 2019), and the science and technology Award (second prize) of China command and control society (second prize in 2020). He was awarded "cradle plan" talent project of China University of Geosciences and the "Chenguang plan" talent project of Youth Science and technology in Wuhan, Hubei Province
Remote Sensing Intelligent Interpretation for Mine Geological Environment
★★★★★
☆☆☆☆☆ Remote Sensing Intelligent Interpretation for Geology
★★★★★
☆☆☆☆☆ Remote Sensing Intelligent Interpretation for Geology
★★★★★
☆☆☆☆☆ Remote Sensing Intelligent Interpretation for Mine Geological Environment
★★★★★
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