Gupta, Rohit and Hajabdollahi Ouderji, Zahra and Uzma and Yu, Zhibin and Sloan, William T. and You, Siming (2024) Machine learning for sustainable organic waste treatment: a critical review. npj Materials Sustainability, 2: 5. ISSN 2948-1775

Abstract

Data-driven modeling is being increasingly applied in designing and optimizing organic waste management toward greater resource circularity. This study investigates a spectrum of data-driven modeling techniques for organic treatment, encompassing neural networks, support vector machines, decision trees, random forests, Gaussian process regression, and k-nearest neighbors. The application of these techniques is explored in terms of their capacity for optimizing complex processes. Additionally, the study delves into physics-informed neural networks, highlighting the significance of integrating domain knowledge for improved model consistency. Comparative analyses are carried out to provide insights into the strengths and weaknesses of each technique, aiding practitioners in selecting appropriate models for diverse applications. Transfer learning and specialized neural network variants are also discussed, offering avenues for enhancing predictive capabilities. This work contributes valuable insights to the field of data-driven modeling, emphasizing the importance of understanding the nuances of each technique for informed decision-making in various organic waste treatment scenarios.

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Gupta, Rohit
Author

Gupta, Rohit and Hajabdollahi Ouderji, Zahra and Uzma and Yu, Zhibin and Sloan, William T. and You, Siming (2024) Machine learning for sustainable organic waste treatment: a critical review. npj Materials Sustainability, 2: 5. ISSN 2948-1775

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Hajabdollahi Ouderji, Zahra
Author

Gupta, Rohit and Hajabdollahi Ouderji, Zahra and Uzma and Yu, Zhibin and Sloan, William T. and You, Siming (2024) Machine learning for sustainable organic waste treatment: a critical review. npj Materials Sustainability, 2: 5. ISSN 2948-1775

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Uzma
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Yu, Zhibin
Author

Gupta, Rohit and Hajabdollahi Ouderji, Zahra and Uzma and Yu, Zhibin and Sloan, William T. and You, Siming (2024) Machine learning for sustainable organic waste treatment: a critical review. npj Materials Sustainability, 2: 5. ISSN 2948-1775

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Sloan, William
Author

Cholet, Fabien and Vignola, Marta and Quinn, Dominic and Ijaz, Umer Z. and Sloan, William T. and Smith, Cindy J. (2025) Microbial ecology of drinking water biofiltration based on 16S rRNA sequencing: a meta-analysis. Water Research, 281: 123684. ISSN 0043-1354

Gupta, Rohit and Murray, Cameron and Sloan, William T. and You, Siming (2025) Predicting the methane production of microwave-pretreated anaerobic digestion of food waste: a machine learning approach. Energy. ISSN 0360-5442 (In Press)

Alghafli, Khaled and Shi, Xiaogang and Sloan, William and Ali, Awad M. (2025) Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms. Groundwater for Sustainable Development, 28: 101389. ISSN 2352-801X

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You, Siming
Author

Gupta, Rohit and Murray, Cameron and Sloan, William T. and You, Siming (2025) Predicting the methane production of microwave-pretreated anaerobic digestion of food waste: a machine learning approach. Energy. ISSN 0360-5442 (In Press)

Dansawad, Panchan and Li, Yanxiang and Cao, Lixia and Gao, Haigang and Yang, Chaoyong and Huang, Enming and You, Siming and Li, Wangliang (2024) An unmodified recycled Polyethylene terephthalate (PET) nanofibrous membrane for water-in-oil and oil-in-water emulsions separation. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 696: 134335. ISSN 0927-7757

Gupta, Rohit and Lee, Susan and Lui, Jade and Sloan, William and You, Siming (2024) Carbon footprint assessment of water and wastewater treatment works in Scottish islands. Journal of Cleaner Production, 450: 141650. ISSN 0959-6526

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