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Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas.
Jiang, Yiqi; Li, Chaolin; Zhang, Yituo; Zhao, Ruobin; Yan, Kefen; Wang, Wenhui.
Affiliation
  • Jiang Y; School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, 518055, China.
  • Li C; School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, 518055, China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China. Electronic address: lichaolin@hit.edu.cn.
  • Zhang Y; School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, 518055, China.
  • Zhao R; School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, 518055, China.
  • Yan K; School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, 518055, China.
  • Wang W; School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, 518055, China. Electronic address: wangwenhui@hit.edu.cn.
Water Res ; 207: 117797, 2021 Dec 01.
Article in En | MEDLINE | ID: mdl-34731668
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Full text: 1 Database: MEDLINE Main subject: Fats / Deep Learning Type of study: Prognostic_studies Language: En Journal: Water Res Year: 2021 Type: Article Affiliation country: China
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Full text: 1 Database: MEDLINE Main subject: Fats / Deep Learning Type of study: Prognostic_studies Language: En Journal: Water Res Year: 2021 Type: Article Affiliation country: China