Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction-Reference-Cited by-同舟云学术

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Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction

Published:2023-02 Issue: Volume:370 Page:128518
ISSN:0960-8524
Container-title:Bioresource Technology
language:en
Short-container-title:Bioresource Technology

Author:

Lim Seung Ji,Son Moon,Ki Seo Jin,Suh Sang-Ik,Chung Jaeshik

Funder

Korea Institute of Science and Technology

Ministry of Environment

Korea Environmental Industry and Technology Institute

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Medicine,Environmental Engineering,Bioengineering

Reference110 articles.

1. Trends in micropollutant biotransformation along a solids retention time gradient;Achermann;Environ. Sci. Tech.,2018

2. Peeking inside the black-box: A survey on explainable artificial intelligence (XAI);Adadi;IEEE Access,2018

3. Complexity in microbial metabolic processes in soil nitrogen modeling: A case for model averaging;Ajami;Stoch. Environ. Res. Risk Assess.,2010

4. Challenges and opportunities of lignocellulosic biomass gasification in the path of circular bioeconomy;Akbarian;Bioresour. Technol.,2022

5. Effluent composition prediction of a two-stage anaerobic digestion process: Machine learning and stoichiometry techniques;Alejo;Environ. Sci. Pollut. Res. Int.,2018

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4. Nonionic surfactant Tween 80-facilitated bacterial transport in porous media: A nonmonotonic concentration-dependent performance, mechanism, and machine learning prediction;Environmental Research;2024-06

5. Artificial intelligence applications for fault detection and diagnosis in pharmaceutical bioprocesses: a review;Current Opinion in Chemical Engineering;2024-06

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