AIMC Topic: Anaerobiosis

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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...
Machine Learning Biodegradation, Environmental Hydrolysis Thermodynamics Organic Chemicals Carbon Sewage Anaerobiosis Nitrogen
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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...
Membranes, Artificial Methane Waste Disposal, Fluid Machine Learning Biofouling Bioreactors Anaerobiosis Extracellular Polymeric Substance Matrix Solubility Sewage
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Meta-Analysis and Machine Learning Models for Anaerobic Biodegradation Rates of Organic Contaminants in Sediments and Sludge.

Environmental science & technology Jul 10, 2024
Anaerobic biodegradation rates (half-lives) of organic chemicals are pivotal for environmental risk assessment and remediation. Traditional experimental evaluation, constrained by prolonged, oxygen-free conditions, struggles to keep pace with emergin...
Machine Learning Organic Chemicals Sewage Geologic Sediments Anaerobiosis Biodegradation, Environmental
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Predicting thermodynamic adhesion energies of membrane fouling in planktonic anammox MBR via backpropagation neural network model.

Bioresource technology Jun 18, 2024
Predicting thermodynamic adhesion energies was a critical strategy for mitigating membrane fouling. This study utilized a backpropagation (BP) neural network model to predict the thermodynamic adhesion energies associated with membrane fouling in a p...
Biofouling Membranes, Artificial Thermodynamics Bioreactors Plankton Neural Networks, Computer Anaerobiosis
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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...
Methane Biofuels Machine Learning Support Vector Machine Manure Biomass Anaerobiosis
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Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.

Sensors (Basel, Switzerland) Apr 15, 2024
This study aims to enhance diagnostic capabilities for optimising the performance of the anaerobic sewage treatment lagoon at Melbourne Water's Western Treatment Plant (WTP) through a novel machine learning (ML)-based monitoring strategy. This strate...
Monte Carlo Method Biofuels Calibration Anaerobiosis Neural Networks, Computer Bayes Theorem Sewage Machine Learning
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A data-driven approach for revealing the linkages between differences in electrochemical properties of biochar during anaerobic digestion using automated machine learning.

The Science of the total environment Apr 7, 2024
Biochar is commonly used to enhance the anaerobic digestion of organic waste solids and wastewater, due to its electrochemical properties, which intensify the electron transfer of microorganisms attached to its large surface area. However, it is diff...
Charcoal Bioreactors Machine Learning Waste Disposal, Fluid Anaerobiosis Wastewater
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Machine learning for high solid anaerobic digestion: Performance prediction and optimization.

Bioresource technology Apr 4, 2024
Biogas production through anaerobic digestion (AD) is one of the complex non-linear biological processes, wherein understanding its dynamics plays a crucial role towards process control and optimization. In this work, a machine learning based biogas ...
Algorithms Support Vector Machine Bioreactors Biofuels Anaerobiosis Machine Learning
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Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review.

Environmental science and pollution research international Feb 20, 2024
Biogas plant operators often face huge challenges in the monitoring, controlling and optimisation of the anaerobic digestion (AD) process, as it is very sensitive to surrounding changes, which often leads to process failure and adversely affects biog...
Anaerobiosis Neural Networks, Computer Algorithms Biofuels Machine Learning Fuzzy Logic
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Study of helminth eggs ( inactivation by anaerobic digestion and electrochemical treatment.

Gates open research Feb 12, 2024
BACKGROUND: The use of insufficiently treated wastewater or Faecal sludge in agriculture raises concerns because of the pathogen content. Helminth eggs (HE) are one of the most crucial pathogens for ensuring public health and safety. Widely used disi...
Anaerobiosis Electrochemical Techniques Ovum Disinfection Ascaris suum Wastewater Animals
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