A Comprehensive Assessment of Extreme Gradient Boost (Xgb) and Support Vector Regression (Svr) Performance to Predict Effluent Quality in Activated Sludge Treatment Process
Year: 2023
Type: preprint
Source: SSRN Electronic Journal
DOI: 10.2139/ssrn.4669333
Authors: Maedeh Edraki, Seyed Mehrab Amiri, Mohammad Reza Pakravan, Solmaz Saadat, Saba Baharvand
Institutions: Shiraz University, The University of Texas at Arlington
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4389947129