AIMC Topic: Methane

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Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports Aug 6, 2025
The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif...
Carbon Dioxide Climate Change Principal Component Analysis Methane Food Security Nitrous Oxide Food Supply Greenhouse Gases Humans Machine Learning Africa
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Biochar-Augmented Anaerobic Digestion System: Insights from an Interpretable Stacking Ensemble Deep Learning.

Environmental science & technology Jul 18, 2025
This study presents a comprehensive approach for optimizing biochar-augmented anaerobic digestion (AD) system through an interpretable stacking ensemble deep learning model. Extensive experimental data were compiled, incorporating feedstock character...
Deep Learning Anaerobiosis Charcoal Methane
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Application of multimodal machine learning-based analysis for the biomethane yields of NaOH-pretreated biomass.

Scientific reports Jul 8, 2025
This study investigated the impact of alkaline pretreatment on the biomethane yield of Xyris capensis experimentally and computationally using machine-learning (ML)-based techniques. Despite extensive studies on the anaerobic digestion of lignocellul...
Lignin Sodium Hydroxide Neural Networks, Computer Biomass Machine Learning Support Vector Machine Principal Component Analysis Methane
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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...
Machine Learning Wastewater Waste Disposal, Fluid Anaerobiosis Biological Oxygen Demand Analysis Sewage Biofuels Methane Bioreactors
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Impact of microbial profile integration on machine learning predictions of methane production: synergies and trade-offs with physicochemical parameters.

Bioresource technology Jun 1, 2025
Microbial sequencing data were rarely integrated into the prediction of methane production using machine learning (ML) models because of high dimensionality and the lack of a systematic way to evaluate the change of insight gained from modelling with...
Methane Machine Learning Bacteria
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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 ...
Bioreactors Biofuels Methane Anaerobiosis
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Predicting anaerobic digestion stability in load-flexible operation using gas phase indicators and classification algorithms.

Bioresource technology Apr 8, 2025
This study investigates early warning indicators for process instabilities in anaerobic digestion caused by shock-loadings in biogas plants, focussing on gas-phase parameters to avoid substrate analyses. With the increasing use of renewable energy so...
Algorithms Anaerobiosis Classification Algorithms Biofuels Gases Methane Bioreactors
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Machine Learning Accelerated Discovery of Covalent Organic Frameworks for Environmental and Energy Applications.

Environmental science & technology Mar 30, 2025
Covalent organic frameworks (COFs) are porous crystalline materials obtained by linking organic ligands covalently. Their high surface area and adjustable pore sizes make them ideal for a range of applications, including CO capture, CH storage, gas s...
Metal-Organic Frameworks Carbon Dioxide Catalysis Methane Machine Learning
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The role of reservoir size in driving methane emissions in China.

Water research Mar 5, 2025
Reservoirs play a crucial role as sources of methane (CH₄) emissions, with emission rates and quantities varying widely depending on reservoir size due to factors such as surface area, water depth, usage, operational methods, and spatial distribution...
Methane China Environmental Monitoring Air Pollutants
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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...
Bioreactors Neural Networks, Computer Biofuels Waste Disposal, Fluid Anaerobiosis Methane
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