Deep learning‐based segmentation model for permeable concrete meso‐structures

Autor(en):	De Chen (School of Civil Engineering Southwest Jiaotong University Chengdu China) Yukun Li (School of Civil Engineering Southwest Jiaotong University Chengdu China) Jiaxing Tao (School of Civil Engineering Southwest Jiaotong University Chengdu China) Yuchen Li (School of Civil Engineering Southwest Jiaotong University Chengdu China) Shilong Zhang (School of Civil Engineering Southwest Jiaotong University Chengdu China) Xuehui Shan (Hubei Communications Investment Group Co. Ltd. Wuhan PR China) Tingting Wang (School of Automation Chengdu University of Information Technology Chengdu China) Zhi Qiao (Science and technology development department Inner Mongolia Transportation Group CO., LTD Hohhot China) Rui Zhao (School of Environmental Science and Engineering Southwest Jiaotong University Chengdu China) Xiaoqiang Fan (School of Materials Science and Engineering Southwest Jiaotong University Chengdu China) Zhongrong Zhou (School of Mechanical Engineering Southwest Jiaotong University Chengdu China)
Medium:	Fachartikel
Sprache(n):	Englisch
Veröffentlicht in:	Computer-Aided Civil and Infrastructure Engineering
DOI:	10.1111/mice.13300

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