AIMC Topic: Anaerobiosis

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Machine learning-based optimization of biogas and methane yields in UASB reactors for treating domestic wastewater.

Biodegradation Jun 26, 2025
This study aimed to optimize biogas and methane production from Up-flow anaerobic sludge blanket reactors for treating domestic wastewater using advanced machine learning models-namely, eXtreme Gradient Boosting (XGBoost) and its hybridized form, XGB...
Waste Disposal, Fluid Anaerobiosis Machine Learning Wastewater Sewage Biofuels Biological Oxygen Demand Analysis Methane Bioreactors
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An integrated review on the role of different biocatalysts, process parameters, bioreactor technologies and data-driven predictive models for upgrading biogas.

Journal of environmental management May 5, 2025
As energy consumption and waste generation from human activities continue to rise, the technology of anaerobic digestion (AD), which converts waste into bioenergy, has gained popularity. Biogas produced from AD commonly contains 60 % CH, 40 % CO and ...
Anaerobiosis Bioreactors Biofuels Methane
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Development of artificial neural network model for anaerobic digestion-elutriated phase treatment.

Journal of environmental management Mar 5, 2025
Nonlinear autoregressive exogenous (NARX) neural network models were used to forecast the time-series profiles of anaerobic digestion-elutriated phase treatment (ADEPT). Experimental data from the operation of the pilot plant and lab-scale reactor we...
Neural Networks, Computer Biofuels Methane Bioreactors Waste Disposal, Fluid Anaerobiosis
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Application of Machine Learning for FOS/TAC Soft Sensing in Bio-Electrochemical Anaerobic Digestion.

Molecules (Basel, Switzerland) Feb 27, 2025
This study explores the application of various machine learning (ML) models for the real-time prediction of the FOS/TAC ratio in microbial electrolysis cell anaerobic digestion (MEC-AD) systems using data collected during a 160-day trial treating bre...
Electrochemical Techniques Anaerobiosis Wastewater Support Vector Machine Neural Networks, Computer Machine Learning
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Machine learning-based analysis of microplastic-induced changes in anaerobic digestion parameters influencing methane yield.

Journal of environmental management Feb 23, 2025
Microplastics (MPs) present significant challenges for anaerobic digestion (AD) processes used in energy recovery from contaminated organic waste. Given that optimal AD conditions vary widely across studies when MPs are present, a robust predictive m...
Methane Microplastics Machine Learning Anaerobiosis
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Graph-based deep learning for predictions on changes in microbiomes and biogas production in anaerobic digestion systems.

Water research Jan 13, 2025
Anaerobic digestion (AD), which relies on a complex microbial consortium for efficient biogas generation, is a promising avenue for renewable energy production and organic waste treatment. However, understanding and optimising AD processes are challe...
Bioreactors Microbiota Biofuels Anaerobiosis Fatty Acids, Volatile Deep Learning
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Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models.

Bioresource technology Nov 6, 2024
Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal r...
Anaerobiosis Fatty Acids, Volatile Biofuels Food Bioreactors Machine Learning Bacteria Refuse Disposal Food Loss and Waste
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Machine learning for enhancing prediction of biogas production and building a VFA/ALK soft sensor in full-scale dry anaerobic digestion of kitchen food waste.

Journal of environmental management Nov 5, 2024
Based on operational data collected over 1.5 years from four full-scale dry anaerobic digesters used for kitchen food waste treatment, this study adopted eight typical machine learning algorithms to distinguish the best biogas prediction model and to...
Food Loss and Waste Anaerobiosis Bioreactors Machine Learning Biological Oxygen Demand Analysis Biofuels Algorithms Refuse Disposal
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Thermodynamics and explainable machine learning assist in interpreting biodegradability of dissolved organic matter in sludge anaerobic digestion with thermal hydrolysis.

Bioresource technology Aug 28, 2024
Dissolved organic matter (DOM) is essential in biological treatment, yet its specific roles remain incompletely understood. This study introduces a machine learning (ML) framework to interpret DOM biodegradability in the anaerobic digestion (AD) of s...
Thermodynamics Nitrogen Biodegradation, Environmental Hydrolysis Carbon Sewage Machine Learning Anaerobiosis Organic Chemicals
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Sludge bound-EPS solubilization enhance CH bioconversion and membrane fouling mitigation in electrochemical anaerobic membrane bioreactor: Insights from continuous operation and interpretable machine learning algorithms.

Water research Aug 9, 2024
Bound extracellular polymeric substances (EPS) are complex, high-molecular-weight polymer mixtures that play a critical role in pore clogging, foulants adhesion, and fouling layer formation during membrane filtration, owing to their adhesive properti...
Biofouling Waste Disposal, Fluid Extracellular Polymeric Substance Matrix Anaerobiosis Machine Learning Methane Solubility Sewage Bioreactors Membranes, Artificial
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