首页> Journal of environmental management> Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants.

Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants.

导出 LinkOut

翻译打印收藏纠错

第一作者： Ahmed,Elsayed

第一单位： Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada; Department of Irrigation and Hydraulic Engineering, Faculty of Engineering, Cairo University, 1 Gamaa Street, Giza 12613, Egypt. Electronic address: elsaya5@mcmaster.ca.

作者： Ahmed,Elsayed ^[1] ; Maysara,Ghaith ^[2] ; Ahmed,Yosri ^[2] ; Zhong,Li ^[3] ; Wael,El-Dakhakhni ^[4]

作者单位： Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada; Department of Irrigation and Hydraulic Engineering, Faculty of Engineering, Cairo University, 1 Gamaa Street, Giza 12613, Egypt. Electronic address: elsaya5@mcmaster.ca. ^[1] Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada; Department of Irrigation and Hydraulic Engineering, Faculty of Engineering, Cairo University, 1 Gamaa Street, Giza 12613, Egypt. ^[2] Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada. ^[3] Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada; School of Computational Science and Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S4K1, Canada. ^[4]

关键词 Effluent quality Interpretability analysis Multi-gene genetic programming Wastewater monitoring and management Wastewater treatment Water quality prediction

医学主题词人类(Humans);人工智能(Artificial Intelligence);废弃物处理, 液体(Waste Disposal, Fluid);水净化(Water Purification);生物需氧量分析(Biological Oxygen Demand Analysis)

DOI 10.1016/j.jenvman.2024.120510

PMID 38490009

发布时间 2024-04-08

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交