AIMC Topic: Anaerobiosis

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Anaerobic condition induces a viable but nonculturable state of the PCB-degrading Bacteria Rhodococcus biphenylivorans TG9.

The Science of the total environment Oct 9, 2020
Significant microbial removal of highly chlorinated polychlorinated biphenyls (PCBs) requires the cooperation of anaerobic and aerobic bacteria. During the sequencing process of anaerobic dechlorination and aerobic degradation of PCBs, aerobic degrad...
Polychlorinated Biphenyls Anaerobiosis Rhodococcus Biodegradation, Environmental
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An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process.

Water research Jun 30, 2020
Data-driven models are suitable for simulating biological wastewater treatment processes with complex intrinsic mechanisms. However, raw data collected in the early stage of biological experiments are normally not enough to train data-driven models. ...
Anaerobiosis Fatty Acids, Volatile Fermentation Neural Networks, Computer Wastewater
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A spiking neural network-based long-term prediction system for biogas production.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2020
Efficient energy production from biomass is a central issue in the context of clean alternative energy resource. In this work we propose a novel model based on spiking neural networks cubes in order to model the chemical processes that goes on in a d...
Anaerobiosis Neurons Biofuels Neural Networks, Computer Forecasting
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Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion.

The Science of the total environment Dec 23, 2019
The objective of this study is to apply machine learning models to accurately predict daily biomethane production in an industrial-scale co-digestion facility. The methodology involved applying elasticnet, random forest, and extreme gradient boosting...
Methane Machine Learning Food Anaerobiosis Refuse Disposal
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Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms.

Bioresource technology Dec 2, 2019
Machine learning has emerges as a novel method for model development and has potential to be used to predict and control the performance of anaerobic digesters. In this study, several machine learning algorithms were applied in regression and classif...
Machine Learning Cluster Analysis Algorithms Anaerobiosis Logistic Models
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Innovation hotspots in food waste treatment, biogas, and anaerobic digestion technology: A natural language processing approach.

The Science of the total environment Apr 7, 2019
The objective of this study is to apply natural language processing to identifying innovative technology trends related to food waste treatment, biogas, and anaerobic digestion. The methodology used involved analyzing large volumes of text data mined...
Natural Language Processing Anaerobiosis Biofuels Food Refuse Disposal Methane Bioreactors
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Enrichment of thermophilic and mesophilic microbial consortia for efficient degradation of corn stalk.

Journal of environmental sciences (China) Jul 29, 2018
Six different environmental samples were applied to enrich microbial consortia for efficient degradation of corn stalk, under the thermophilic and mesophilic conditions. The consortium obtained from anaerobic digested sludge under thermophilic condit...
Polysaccharides Biodegradation, Environmental Biomass Anaerobiosis Lignin Cellulose Microbial Consortia RNA, Ribosomal, 16S Sewage Zea mays Bioreactors Biofuels Triticum
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Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques.

Environmental science and pollution research international May 16, 2018
Computational self-adapting methods (Support Vector Machines, SVM) are compared with an analytical method in effluent composition prediction of a two-stage anaerobic digestion (AD) process. Experimental data for the AD of poultry manure were used. Th...
Biological Oxygen Demand Analysis Manure Ammonia Poultry Waste Disposal, Fluid Anaerobiosis Nitrogen Proteins Machine Learning Animals Neural Networks, Computer
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Use of artificial neuronal networks for prediction of the control parameters in the process of anaerobic digestion with thermal pretreatment.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Apr 19, 2018
This article focuses on the analysis of the behavior patterns of the variables involved in the anaerobic digestion process. The objective is to predict the impact factor and the behavior pattern of the variables, i.e., temperature, pH, volatile solid...
Food-Processing Industry Methane Neural Networks, Computer Hydrolysis Water Purification Wastewater Industrial Waste Animals Computer Simulation Poultry Forecasting Biofuels Sewage Temperature Anaerobiosis
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Feedforward neural network model estimating pollutant removal process within mesophilic upflow anaerobic sludge blanket bioreactor treating industrial starch processing wastewater.

Bioresource technology Feb 20, 2018
In this a, three-layered feedforward-backpropagation artificial neural network (BPANN) model was developed and employed to evaluate COD removal an upflow anaerobic sludge blanket (UASB) reactor treating industrial starch processing wastewater. At the...
Sewage Neural Networks, Computer Wastewater Waste Disposal, Fluid Bioreactors Anaerobiosis Starch
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