A Comprehensive Assessment of Extreme Gradient Boost (Xgb) and Support Vector Regression (Svr) Performance to Predict Effluent Quality in Activated Sludge Treatment Process

Author:

Edraki Maedeh,Amiri Seyed Mehrab,Pakravan Mohammad Reza,Saadat Solmaz,Baharvand Saba

Publisher

Elsevier BV

Reference53 articles.

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3. Wastewater treatment aeration process optimization : A data mining approach;A Asadi;Journal of Environmental Management,2016

4. Journal of Water Process Engineering Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance;F Bagherzadeh;Journal of Water Process Engineering,2021

5. Investigation of Energy Dissipation Rate of Stepped Vertical Overfall (SVO) Spillway Using Physical Modeling and Soft Computing Techniques;S Baharvand;KSCE Journal of Civil Engineering,2022

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