Applications of machine learning tools for biological treatment of organic wastes: Perspectives and challenges-Reference-Cited by-同舟云学术

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Applications of machine learning tools for biological treatment of organic wastes: Perspectives and challenges

Published:2024-06 Issue:2 Volume:3 Page:100088
ISSN:2773-1677
Container-title:Circular Economy
language:en
Short-container-title:Circular Economy

Author:

Chen Long^ORCID,He Pinjing,Zhang Hua^ORCID,Peng Wei,Qiu Junjie,Lü Fan

Publisher

Elsevier BV

Reference156 articles.

1. Modeling and optimization of semi-continuous anaerobic co-digestion of activated sludge and wheat straw using Nonlinear Autoregressive Exogenous neural network and seagull algorithm;Abdel daiem;Energy,2022

2. Bioconversion technologies: Insect and worm farming;Addy,2021

3. Machine learning technology in biodiesel research: A review;Aghbashlo;Progress in Energy and Combustion Science,2021

4. Attenuation of tetracyclines during chicken manure and bagasse co-composting: Degradation, kinetics, and artificial neural network modeling;Alavi;Journal of Environmental Management,2019

5. Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network;Almomani;Fuel,2020

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