Prediction of artificial neural network for sulfate removal from wastewater and application analysis of key factors in anaerobic biological system

Yao, Yuehong; Li, Yanan; Shi, Yanhui; Shi, Ke; Bai, Yu; Gao, Yu; Jiang, Qing; Xue, Jianliang; Cheng, Dongle

doi:10.1016/j.jece.2024.112085

Journal of Environmental Chemical Engineering

2024

DOI: 10.1016/j.jece.2024.112085

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Prediction of artificial neural network for sulfate removal from wastewater and application analysis of key factors in anaerobic biological system

Yuehong Yao,

Yanan Li,

Yanhui Shi

et al.

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Cited by 5 publications

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The important role of high sludge concentration in anaerobic biological systems with low COD/SO42- sulfate-containing wastewater predicted by machine learning: Insights from microbial community and metabolic pathways

Xue,

Li,

Liu

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Chemical Engineering Journal

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The important role of high sludge concentration in anaerobic biological systems with low COD/SO42- sulfate-containing wastewater predicted by machine learning: Insights from microbial community and metabolic pathways

Xue,

Li,

Liu

et al. 2024

Chemical Engineering Journal

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Quorum sensing improves start-up and stability of sulfate-reducing biocathode in autotrophic microbial electrolytic cell for low-organic-carbon sulfate wastewater treatment

Xiang,

Pan,

Shi

et al. 2024

Journal of Environmental Chemical Engineering

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Unveiling the role of artificial intelligence in tetracycline antibiotics removal using UV/sulfite/phenol advanced reduction process

Sheikhmohammadi,

Asgari,

Alamgholiloo

et al. 2024

Journal of Environmental Management

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Prediction of artificial neural network for sulfate removal from wastewater and application analysis of key factors in anaerobic biological system

Cited by 5 publications

References 39 publications

The important role of high sludge concentration in anaerobic biological systems with low COD/SO42- sulfate-containing wastewater predicted by machine learning: Insights from microbial community and metabolic pathways

The important role of high sludge concentration in anaerobic biological systems with low COD/SO42- sulfate-containing wastewater predicted by machine learning: Insights from microbial community and metabolic pathways

Quorum sensing improves start-up and stability of sulfate-reducing biocathode in autotrophic microbial electrolytic cell for low-organic-carbon sulfate wastewater treatment

Unveiling the role of artificial intelligence in tetracycline antibiotics removal using UV/sulfite/phenol advanced reduction process

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