AIMC Topic: Biofuels

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Comparison of response surface methodology and artificial neural network approach towards efficient ultrasound-assisted biodiesel production from muskmelon oil.

Ultrasonics sonochemistry Oct 23, 2014
The present study is to evaluate and compare the prediction and simulating efficiencies of response surface methodology (RSM) and artificial neural network (ANN) based models on fatty acid methyl esters (FAME) yield achieved from muskmelon oil (MMO) ...
Esterification Sulfuric Acids Cucumis Esters Biofuels Neural Networks, Computer Models, Chemical Plant Oils Ultrasonics Fatty Acids
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Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion.

Bioresource technology Sep 1, 2025
This study evaluates the performance of several optimization algorithms for tuning a data preparation and hyperparameter optimization pipeline applied to machine and deep learning models predicting methane production. Bayesian ridge regression and re...
Biofuels Methane Algorithms Neural Networks, Computer Bayes Theorem Anaerobiosis Machine Learning
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Review of Advanced Technologies and Circular Pathways for Food Waste Valorization.

Journal of agricultural and food chemistry Jul 2, 2025
Food waste (FW) valorization provides a sustainable solution to global waste challenges by enhancing resource efficiency and enabling a circular bioeconomy. This review highlights the need to shift from linear disposal to circular strategies and asse...
Biofuels Refuse Disposal Food Loss and Waste Waste Products Food
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Promoting lignocellulosic biorefinery by machine learning: progress, perspectives and challenges.

Bioresource technology Jul 1, 2025
The lignocellulosic biorefinery involves pretreatment, enzymatic hydrolysis, mixed sugar fermentation, and optional anaerobic digestion. This pipeline could be effectively implemented through machine learning (ML)-guided process optimization and stra...
Machine Learning Lignin Fermentation Biofuels Hydrolysis Biotechnology
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The development of input-monitoring system on biofuel economics and social welfare analysis.

Science progress Jan 1, 2022
Biofuel production relies on stable supply of biomass which would be significantly influenced by climate-induced impacts. Since the actual agricultural outputs are relatively unpredictable in the face of uncertain environmental conditions and can onl...
Social Welfare Artificial Intelligence Biomass Biofuels Agriculture
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[Effect of the Food to Mass Ratio and Hydraulic Retention Time on Hydrogen Production from Fruit and Vegetable Waste].

Huan jing ke xue= Huanjing kexue Nov 8, 2017
Semi-continuous biogas production from fruit and vegetable waste by medium temperature anaerobic fermentation was conducted. Hydrogen production under different food-microorganism ratios (F/M 0.5, 0.75, 1.0, 1.5) and hydraulic retention times (HRT) (...
Hydrogen Vegetables Methane Fruit Fermentation Anaerobiosis Bioreactors Biofuels
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Moisture content prediction in poultry litter using artificial intelligence techniques and Monte Carlo simulation to determine the economic yield from energy use.

Journal of environmental management Nov 1, 2017
The objective of this study is to determine the economic return of poultry litter combustion in boilers to produce bioenergy (thermal and electrical), as this biomass has a high-energy potential due to its component elements, using fuzzy logic to pre...
Environment Monte Carlo Method Fuzzy Logic Manure Artificial Intelligence Biofuels Chickens Animals Poultry
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