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                                       Details for article 86 of 289 found articles
 
 
  Effective evaluation of greenhouse gases (GHGs) emissions from anoxic/oxic (A/O) process of regenerated papermaking wastewater treatment through hybrid deep learning techniques: Leveraging the critical role of water quality indicators
 
 
Title: Effective evaluation of greenhouse gases (GHGs) emissions from anoxic/oxic (A/O) process of regenerated papermaking wastewater treatment through hybrid deep learning techniques: Leveraging the critical role of water quality indicators
Author: Fan, Xing
Niu, Guoqiang
Liu, Rui
Qin, Jianwu
Yi, Xiaohui
Tu, Jun
Li, Xiaoyong
Huang, Mingzhi
Appeared in: Journal of environmental management
Paging: Volume 380 () nr. C pages p.
Year: 2025
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 86 of 289 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands