Simulation models of microbial community, pH, and volatile fatty acids of anaerobic digestion developed by machine learning-Reference-Cited by-同舟云学术

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Simulation models of microbial community, pH, and volatile fatty acids of anaerobic digestion developed by machine learning

Published:2024-04 Issue: Volume:60 Page:105225
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Yu Sung Il,Jeong Heewon,Shin Juhee,Shin Seung Gu,Abbas Ather,Yun Daeun,Bae Hyokwan,Cho Kyung Hwa

Funder

Korea Ministry of SMEs and Startups

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Reference82 articles.

1. Basics of methanogenesis in anaerobic digester;Patel,2017

2. A comprehensive microbial insight into two-stage anaerobic digestion of food waste-recycling wastewater;Shin;Water Res.,2010

3. Improved adm1 for modelling c, n, p fates in anaerobic digestion process of pig manure and optimization approaches to biogas production;Li;Renew. Energy,2020

4. Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data;Long;Water Res.,2021

5. The iwa anaerobic digestion model no 1 (adm1);Batstone;Water Sci. Technol.,2002

Cited by 3 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. Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models;Water Research;2024-11

2. Autonomous real-time control for membrane capacitive deionization;Water Research;2024-09

3. Management strategy of granular sludge settleability in saline denitrification: Insights from machine learning;Chemical Engineering Journal;2024-08

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