Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in …

SD Shelare, PN Belkhode, KC Nikam, LD Jathar… - Energy, 2023 - Elsevier
As the global population and economy grow, so does the energy demand. Over-reliance on
non-renewable resources leads to depletion and price spikes, making renewable …

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 …

Harnessing the potential of microalgae-bacteria interaction for eco-friendly wastewater treatment: a review on new strategies involving machine learning and artificial …

S Sahu, A Kaur, G Singh, SK Arya - Journal of Environmental Management, 2023 - Elsevier
In the pursuit of effective wastewater treatment and biomass generation, the symbiotic
relationship between microalgae and bacteria emerges as a promising avenue. This …

Smart microalgae farming with internet-of-things for sustainable agriculture

HR Lim, KS Khoo, WY Chia, KW Chew, SH Ho… - Biotechnology …, 2022 - Elsevier
Agriculture farms such as crop, aquaculture and livestock have begun the implementation of
Internet of Things (IoT) and artificial intelligence (AI) technology in improving their …

Dielectrophoresis-assisted removal of Cd and Cu heavy metal ions by using Chlorella microalgae

K Zhao, X Zhao, T Gao, X Li, G Wang, X Pan… - Environmental …, 2023 - Elsevier
A novel dielectrophoresis (DEP)-assisted device for the bioremediation of heavy metal ions
by using Chlorella microalgae is presented in this paper. To generate the DEP forces, pairs …

Microalgae classification based on machine learning techniques

P Otálora, JL Guzmán, FG Acién, M Berenguel, A Reul - Algal Research, 2021 - Elsevier
In this paper, two models for classification of microalgae species based on artificial neural
networks have been developed and validated. The models work in combination with …

Machine learning techniques to characterize functional traits of plankton from image data

EC Orenstein, SD Ayata, F Maps… - Limnology and …, 2022 - Wiley Online Library
Plankton imaging systems supported by automated classification and analysis have
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …

Machine learning for algal biofuels: a critical review and perspective for the future

A Coşgun, ME Günay, R Yıldırım - Green Chemistry, 2023 - pubs.rsc.org
In this work, machine learning (ML) applications in microalgal biofuel production are
reviewed. First, the basic steps of algal biofuel production are summarized followed by a …

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 …