3D convolutional neural Network-based 3D mineral prospectivity modeling for targeting concealed mineralization within Chating area, middle-lower Yangtze River metallogenic Belt, China
Xiaohui Li(Hefei University of Technology), Sanming Lu(Anhui Geological Museum), Mingming Zhang(Hefei University of Technology), Xue Chen(Hefei University of Technology), Yue Li(Hefei University of Technology), Chaojie Zheng(Hefei University of Technology), Can Ge(Hefei University of Technology), Dong Guo(Geological Exploration Technology Institute of Jiangsu Province), Yuan Feng(University of Electronic Science and Technology of China), Yuheng Chen(Hefei University of Technology), Minhui Tang(Anhui Geological Museum), Xueyi Lan(Geological Exploration Technology Institute of Jiangsu Province)
Cited by 37
Related Papers
Joint Task Offloading, D2D Pairing, and Resource Allocation in Device-Enhanced MEC: A Potential Game Approach
|IEEE Internet of Things Journal|2021|126
Convolutional neural network and transfer learning based mineral prospectivity modeling for geochemical exploration of Au mineralization within the Guandian–Zhangbaling area, Anhui Province, China
|Applied Geochemistry|2020|91
Three-dimensional mineral prospectivity modeling for targeting of concealed mineralization within the Zhonggu iron orefield, Ningwu Basin, China
|Ore Geology Reviews|2015|85