Review on machine learning-based bioprocess optimization, monitoring, and control systems

PP Mondal, A Galodha, VK Verma, V Singh… - Bioresource …, 2023 - Elsevier
Abstract Machine Learning is quickly becoming an impending game changer for
transforming big data thrust from the bioprocessing industry into actionable output. However …

Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries

V Sharma, ML Tsai, CW Chen, PP Sun… - Science of The Total …, 2023 - Elsevier
In view of the global climate change concerns, the society is approaching towards the
development of 'green'and renewable energies for sustainable future. The non-renewable …

A novel optimization approach for biohydrogen production using algal biomass

P Sharma, M Sivaramakrishnaiah, B Deepanraj… - International Journal of …, 2024 - Elsevier
The objective of this research was to employ a low-cost device to produce biohydrogen with
several potential applications for clean energy. A multi-input and single-output (MISO) …

Machine learning technology in biohydrogen production from agriculture waste: recent advances and future perspectives

AK Sharma, PK Ghodke, N Goyal, S Nethaji… - Bioresource …, 2022 - Elsevier
Agricultural waste biomass has shown great potential to deliver green energy produced by
biochemical and thermochemical conversion processes to mitigate future energy crises …

Machine learning in biohydrogen production: a review

A Alagumalai, B Devarajan, H Song… - Biofuel Research …, 2023 - biofueljournal.com
Biohydrogen is emerging as a promising carbon-neutral and sustainable energy carrier with
high energy yield to replace conventional fossil fuels. However, biohydrogen commercial …

[HTML][HTML] Prediction of hydrogen production in proton exchange membrane water electrolysis via neural networks

M Tawalbeh, I Shomope, A Al-Othman… - International Journal of …, 2024 - Elsevier
Advancements in water electrolysis technologies are crucial for green hydrogen production.
Proton exchange membrane water electrolysis (PEMWE) is characterized by its efficiency …

A review unveiling various machine learning algorithms adopted for biohydrogen productions from microalgae

MZ Ahmad Sobri, A Redhwan, F Ameen, JW Lim… - Fermentation, 2023 - mdpi.com
Biohydrogen production from microalgae is a potential alternative energy source that is now
intensively being researched. The complex natures of the biological processes involved …

Latest avenues and approaches for biohydrogen generation from algal towards sustainable energy optimization: Recent innovations, artificial intelligence, challenges …

G Zhang, J Liu, X Pan, AM Abed, BN Le, HE Ali… - International Journal of …, 2023 - Elsevier
The limited resources of fossil fuels and bio energies, along with the environmental pollution
caused by their combustion, make it necessary to search for renewable and clean …

Improving hydrogen production from the anaerobic digestion of waste activated sludge: Effects of cobalt and iron zero valent nanoparticles

A Córdova-Lizama, C Carrera-Figueiras… - International Journal of …, 2022 - Elsevier
Recently, different metallic additives have been studied to improve biohydrogen production,
such as salts or oxides with iron and nickel. The results have been positive in simple …

Kinetic model derived from machine learning for accurate prediction of microalgal hydrogen production via conversion from low thermally pre-treated palm kernel …

MZA Sobri, KS Khoo, NT Sahrin, FM Ardo, S Ansar… - Chemosphere, 2023 - Elsevier
The depletion of fossil fuel sources and increase in energy demands have increased the
need for a sustainable alternative energy source. The ability to produce hydrogen from …