Machine learning for high solid anaerobic digestion: Performance prediction and optimization-Reference-Cited by-同舟云学术

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Machine learning for high solid anaerobic digestion: Performance prediction and optimization

Published:2024-05 Issue: Volume:400 Page:130665
ISSN:0960-8524
Container-title:Bioresource Technology
language:en
Short-container-title:Bioresource Technology

Author:

Ganeshan Prabakaran,Bose Archishman,Lee Jintae,Barathi Selvaraj,Rajendran Karthik^ORCID

Funder

SRM University

Publisher

Elsevier BV

Reference30 articles.

1. Application of machine learning in anaerobic digestion: Perspectives and challenges;Andrade Cruz;Bioresour. Technol.,2022

2. Application of various machine learning models for process stability of bio-electrochemical anaerobic digestion;Cheon;Process,2022

3. Semi-continuous anaerobic digestion of mixed wastewater sludge with biochar addition;Chiappero;Bioresour. Technol.,2021

4. Machine learning algorithms for temperature management in the anaerobic digestion process;Cinar;Fermentation,2022

5. Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion;De Clercq;Sci. Total Environ.,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative Approach to Characterize Cheese Whey Anaerobic Digestion Using Combined Mechanistic and Machine Learning Models;BioEnergy Research;2024-07-16

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