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Qingchun Jiao

Showing results (1-10 of 4) with videos related to

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Plos One|September 3, 2025
Hybrid feature-based machine vision method for objective evaluation of textile pilling and fuzzingQingchun Jiao, Zifan Qian, Yue Dong, et al.
Plos One|December 1, 2025
Trend analysis and prediction of fabric tear performance testing processes based on the BLTT-FT modelQingchun Jiao, Yifan Zhang, Yang Lu, et al.
Scientific Reports|April 2, 2025
Analyzing the capability description of testing institution in Chinese phrase using a joint approach of semi-supervised K-Means clustering and BERTGaoqing Xu, Qun Chen, Shuhang Jiang, et al.
Plos One|April 16, 2024
Fabric tearing performance state perception and classification driven by multi-source dataJianmin Huang, Qingchun Jiao, Yifan Zhang, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Plos One|September 3, 2025
Hybrid feature-based machine vision method for objective evaluation of textile pilling and fuzzingQingchun Jiao, Zifan Qian, Yue Dong, et al.
Plos One|December 1, 2025
Trend analysis and prediction of fabric tear performance testing processes based on the BLTT-FT modelQingchun Jiao, Yifan Zhang, Yang Lu, et al.
Scientific Reports|April 2, 2025
Analyzing the capability description of testing institution in Chinese phrase using a joint approach of semi-supervised K-Means clustering and BERTGaoqing Xu, Qun Chen, Shuhang Jiang, et al.
Plos One|April 16, 2024
Fabric tearing performance state perception and classification driven by multi-source dataJianmin Huang, Qingchun Jiao, Yifan Zhang, et al.
Pageof 1