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 …
Machine learning technology in biohydrogen production from agriculture waste: recent advances and future perspectives
Agricultural waste biomass has shown great potential to deliver green energy produced by
biochemical and thermochemical conversion processes to mitigate future energy crises …
biochemical and thermochemical conversion processes to mitigate future energy crises …
Application of modern approaches to the synthesis of biohydrogen from organic waste
Hydrogen production with the use of biological processes and renewable feedstock may be
considered an economical and sustainable alternative fuel. The high calorific value and zero …
considered an economical and sustainable alternative fuel. The high calorific value and zero …
Machine learning in biohydrogen production: a review
Biohydrogen is emerging as a promising carbon-neutral and sustainable energy carrier with
high energy yield to replace conventional fossil fuels. However, biohydrogen commercial …
high energy yield to replace conventional fossil fuels. However, biohydrogen commercial …
[HTML][HTML] The application of ANFIS prediction models for thermal error compensation on CNC machine tools
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come
from thermal deformations of the machine elements caused by heat sources within the …
from thermal deformations of the machine elements caused by heat sources within the …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …
scale applications of biomass‐based energy products are limited due to challenges related …
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 …
Progress in in-situ CO2-sorption for enhanced hydrogen production
Deployment of fossil fuels to quench the energy demand of the world's rising population
results in elevated levels of greenhouse gas (GHG) emissions, especially CO 2, which in …
results in elevated levels of greenhouse gas (GHG) emissions, especially CO 2, which in …
[HTML][HTML] Production of hydrogen and methane from lignocellulose waste by fermentation. A review of chemical pretreatment for enhancing the efficiency of the …
G Sołowski, I Konkol, A Cenian - Journal of Cleaner Production, 2020 - Elsevier
In Poland lignocellulose wastes constitute about 43% of municipal waste (∼ 4 417 Gg).
Anaerobic and/or dark fermentation are sustainable methods of lignocellulosic waste …
Anaerobic and/or dark fermentation are sustainable methods of lignocellulosic waste …