Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review

RK Oruganti, AP Biji, T Lanuyanger, PL Show… - Science of The Total …, 2023 - Elsevier
The increased water scarcity, depletion of freshwater resources, and rising environmental
awareness are stressing for the development of sustainable wastewater treatment …

The role of machine learning to boost the bioenergy and biofuels conversion

Z Wang, X Peng, A Xia, AA Shah, Y Huang, X Zhu… - Bioresource …, 2022 - Elsevier
The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …

A comprehensive review on algae removal and control by coagulation-based processes: mechanism, material, and application

B Ren, KA Weitzel, X Duan, MN Nadagouda… - Separation and …, 2022 - Elsevier
The increasing occurrence of harmful algae blooms globally poses significant challenges to
water management. In water treatment utilities, coagulation is the first treatment process of …

Nanocelluloses: Natural-based materials for fiber-reinforced cement composites. A critical review

A Balea, E Fuente, A Blanco, C Negro - Polymers, 2019 - mdpi.com
Nanocelluloses (NCs) are bio-based nano-structurated products that open up new solutions
for natural material sciences. Although a high number of papers have described their …

Enhancing anti-washout behavior of cement paste by polyacrylamide gelation: From floc properties to mechanism

Z Sun, Y Li, X Ming, B Chen, Z Li - Cement and Concrete Composites, 2023 - Elsevier
Polyacrylamide (PAM) is one of the commonly used anti-washout admixtures (AWAs) in
cement-based materials. However, PAM chains tend to be contracted under attacks from …

A critical review of machine-learning for “multi-omics” marine metabolite datasets

J Manochkumar, AK Cherukuri, RS Kumar… - Computers in Biology …, 2023 - Elsevier
During the last decade, genomic, transcriptomic, proteomic, metabolomic, and other omics
datasets have been generated for a wide range of marine organisms, and even more are …

Machine learning for microalgae detection and utilization

H Ning, R Li, T Zhou - Frontiers in Marine Science, 2022 - frontiersin.org
Microalgae are essential parts of marine ecology, and they play a key role in species
balance. Microalgae also have significant economic value. However, microalgae are too …

Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects

CT Yang, E Kristiani, YK Leong, JS Chang - Bioresource Technology, 2024 - Elsevier
This review explores the critical role of machine learning (ML) in enhancing microalgae
bioprocesses for sustainable biofuel production. It addresses both technical and economic …

Microalgal biorefineries: Advancement in machine learning tools for sustainable biofuel production and value-added products recovery

S Kavitha, YK Ravi, G Kumar, YK Nandabalan - Journal of Environmental …, 2024 - Elsevier
The microalgae can be converted into biofuels, biochemicals, and bioactive compounds in a
biorefinery. Recently, designing and executing more viable and sustainable biofuel …

Recent advances in in-process characterization of suspensions and slurries

DM Scott - Powder Technology, 2022 - Elsevier
A comprehensive literature review was conducted on new and emerging methods for in-
process characterization of suspensions and slurries. The 152 publications reviewed here …