Cellulosic biomass fermentation for biofuel production: Review of artificial intelligence approaches
Scarcity in fossil fuel reserves and their environmental impacts has forced the world towards
the production of clean and environment-friendly fuels called biofuels. This review focuses …
the production of clean and environment-friendly fuels called biofuels. This review focuses …
Computational intelligence approach for modeling hydrogen production: A review
S Faizollahzadeh Ardabili, B Najafi… - Engineering …, 2018 - Taylor & Francis
Hydrogen is a clean energy source with a relatively low pollution footprint. However,
hydrogen does not exist in nature as a separate element but only in compound forms …
hydrogen does not exist in nature as a separate element but only in compound forms …
Progress of artificial neural networks applications in hydrogen production
The demand for green energy is expanding, and it seems that hydrogen is the best option
that can be produced and stored in large quantities. Hydrogen is a promising energy carrier …
that can be produced and stored in large quantities. Hydrogen is a promising energy carrier …
Recent advances in artificial neural network research for modeling hydrogen production processes
Abstract Artificial Neural Networks (ANN) have been widely used by scientists in a variety of
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
Machine learning in fermentative biohydrogen production: advantages, challenges, and applications
Hydrogen can be produced in an environmentally friendly manner through biological
processes using a variety of organic waste and biomass as feedstock. However, the …
processes using a variety of organic waste and biomass as feedstock. However, the …
Optimization of hydrogen production via toluene steam reforming over Ni–Co supported modified-activated carbon using ANN coupled GA and RSM
Hydrogen (H 2) is a clean fuel that can be produced from various resources including
biomass. Optimization of H 2 production from catalytic steam reforming of toluene using …
biomass. Optimization of H 2 production from catalytic steam reforming of toluene using …
Key issues in modeling and optimization of lignocellulosic biomass fermentative conversion to gaseous biofuels
K Kucharska, I Hołowacz, D Konopacka-Łyskawa… - Renewable energy, 2018 - Elsevier
The industrial-scale production of lignocellulosic-based biofuels from biomass is expected to
benefit society and the environment. The main pathways of residues processing include …
benefit society and the environment. The main pathways of residues processing include …
Maximizing performance of microbial electrolysis cell fed with dark fermentation effluent from water hyacinth
The performance of microbial electrolysis cell (MEC) fed with dark fermentation effluent
(DEF) from water hyacinth (WH) was enhanced in this study. First, the single effects of the …
(DEF) from water hyacinth (WH) was enhanced in this study. First, the single effects of the …
Modeling the prediction of hydrogen production by co‐gasification of plastic and rubber wastes using machine learning algorithms
BV Ayodele, SI Mustapa, R Kanthasamy… - … Journal of Energy …, 2021 - Wiley Online Library
This study aimed to investigate the application of radial basis function (RBF) and multilayer
perceptron (MLP) artificial neural networks for modeling hydrogen production by co …
perceptron (MLP) artificial neural networks for modeling hydrogen production by co …
A survey on artificial neural networks application for identification and control in environmental engineering: Biological and chemical systems with uncertain models
Artificial neural networks (ANNs) are considered efficient tools for modeling complex, non-
linear processes with uncertain dynamic models. ANNs were originally applied as effective …
linear processes with uncertain dynamic models. ANNs were originally applied as effective …