AIMC Topic: Methane

Clear Filters Showing 21 to 30 of 57 articles

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...
Anaerobiosis Methane Bioreactors Machine Learning Waste Disposal, Fluid Membranes, Artificial Biofouling Extracellular Polymeric Substance Matrix Solubility Sewage
View on PubMed DOI

Machine learning-aided unveiling the relationship between chemical pretreatment and methane production of lignocellulosic waste.

Waste management (New York, N.Y.) Jul 27, 2024
Chemical pretreatment is a common method to enhance the cumulative methane yield (CMY) of lignocellulosic waste (LW) but its effectiveness is subject to various factors, and accurate estimation of methane production of pretreated LW remains a challen...
Machine Learning Methane Biofuels Refuse Disposal Lignin
View on PubMed DOI

Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass.

The Science of the total environment Jun 20, 2024
Hydrothermal liquefaction (HTL) is a thermochemical conversion technology that produces bio-oil from wet biomass without drying. However, by-product gases will inevitably be produced, and their formation is unclear. Therefore, an automated machine le...
Carbon Dioxide Biofuels Gases Biomass Methane Machine Learning
View on PubMed DOI

IoT-based monitoring system and air quality prediction using machine learning for a healthy environment in Cameroon.

Environmental monitoring and assessment Jun 15, 2024
This paper is aimed at developing an air quality monitoring system using machine learning (ML), Internet of Things (IoT), and other elements to predict the level of particulate matter and gases in the air based on the air quality index (AQI). It is a...
Air Pollution Methane Particulate Matter Environmental Monitoring Air Pollutants Carbon Monoxide Nitrogen Dioxide Carbon Dioxide Volatile Organic Compounds Machine Learning Cameroon
View on PubMed DOI

Early Detection of Pipeline Natural Gas Leakage from Hyperspectral Imaging by Vegetation Indicators and Deep Neural Networks.

Environmental science & technology Jun 14, 2024
The timely detection of underground natural gas (NG) leaks in pipeline transmission systems presents a promising opportunity for reducing the potential greenhouse gas (GHG) emission. However, existing techniques face notable limitations for prompt de...
Neural Networks, Computer Hyperspectral Imaging Environmental Monitoring Natural Gas Methane
View on PubMed DOI

Prediction of Individual Gas Yields of Supercritical Water Gasification of Lignocellulosic Biomass by Machine Learning Models.

Molecules (Basel, Switzerland) May 16, 2024
Supercritical water gasification (SCWG) of lignocellulosic biomass is a promising pathway for the production of hydrogen. However, SCWG is a complex thermochemical process, the modeling of which is challenging via conventional methodologies. Therefor...
Algorithms Biomass Support Vector Machine Methane Water Neural Networks, Computer Gases Carbon Dioxide Hydrogen Machine Learning Lignin
View on PubMed DOI

Ensemble machine learning prediction of anaerobic co-digestion of manure and thermally pretreated harvest residues.

Bioresource technology May 3, 2024
This study aimed to clarify the statistical accuracy assessment approaches used in recent biogas prediction studies using state-of-the-art ensemble machine learning approach according to 10-fold cross-validation in 100 repetitions. Three thermally pr...
Manure Biomass Methane Support Vector Machine Anaerobiosis Machine Learning Biofuels
View on PubMed DOI

Multitask Deep Learning Enabling a Synergy for Cadmium and Methane Mitigation with Biochar Amendments in Paddy Soils.

Environmental science & technology Dec 12, 2023
Biochar has demonstrated significant promise in addressing heavy metal contamination and methane (CH) emissions in paddy soils; however, achieving a synergy between these two goals is challenging due to various variables, including the characteristic...
Oryza Cadmium Deep Learning Artificial Intelligence Charcoal Soil Methane
View on PubMed DOI

Optimization of biogas production from straw wastes by different pretreatments: Progress, challenges, and prospects.

The Science of the total environment Sep 17, 2023
Lignocellulosic biomass (LCB) presents a promising feedstock for carbon management due to enormous potential for achieving carbon neutrality and delivering substantial environmental and economic benefit. Bioenergy derived from LCB accounts for about ...
Bioreactors Biomass Anaerobiosis Artificial Intelligence Biofuels Carbon Methane
View on PubMed DOI

Enhancing corn stalk-based anaerobic digestion with different types of zero-valent iron added during the acidification stage: Performance and mechanism.

Journal of environmental sciences (China) Aug 5, 2023
Anaerobic digestion has been defined as a competitive approach to facilitate the recycling of corn stalks. However, few studies have focused on the role of direct interspecies electron transfer (DIET) pathway in the acidification stage under the addi...
Fatty Acids, Volatile Bioreactors Anaerobiosis Zea mays Iron Methane
View on PubMed DOI
Popular Topics
Recent Journals