研究论文
Intelligent recognition and identification of fracture types and parameters for borehole images based on developed convolutional neural networks and post-processing
Cancan Liu, Jineon Kim, Jae-Joon Song, Xigui Zheng, Niaz Muhammad Shahani, Nasir Khan, Xiaowei Guo
Seoul National University China University of Mining and Technology University of Chakwal
来源Engineering Fracture Mechanics
年份2023
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35
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3.89
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同类平均 = 1
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学术脉络
学科主题
工程Rock Mechanics and Modeling
Advanced Neural Network Applications · Geomechanics and Mining Engineering
参考文献 43
Automatic identification of cracks from borehole image under complicated geological conditions
被引 10Shaokong Feng, Tao Huang, Hongjie Li · Journal of Shanghai Jiaotong University (Science) · 2013
Visual texture for automated characterisation of geological features in borehole televiewer imagery
被引 50Waleed Al-Sit, Waleed Al‐Nuaimy, Matteo Marelli · Journal of Applied Geophysics · 2015
Geological Well Logs: Their Use in Reservoir Modeling
被引 108Stefan M. Lüthi · 2013
此处列出前 3 条
引用本文 35
Research progress and prospects of intelligent technology in underground mining of hard rock mines
被引 50Xiaobo Liu, Xingfan Zhang, Liancheng Wang · Green and Smart Mining Engineering · 2024
Machine learning based framework for rapid forecasting of the crack propagation
被引 35Hongru Yan, Hongjun Yu, Shuai Zhu · Engineering Fracture Mechanics · 2024
Intelligent identification and semantic segmentation of deep rock fracture based on deep ensemble learning and transfer learning
被引 14Rui Li, Qingsong Zhang, Shaoxuan Guo · Tunnelling and Underground Space Technology · 2024
按被引量排序,此处列出前 3 条