Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in …
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 …
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 …
awareness are stressing for the development of sustainable wastewater treatment …
The role of machine learning to boost the bioenergy and biofuels conversion
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 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 …
In the pursuit of effective wastewater treatment and biomass generation, the symbiotic
relationship between microalgae and bacteria emerges as a promising avenue. This …
relationship between microalgae and bacteria emerges as a promising avenue. This …
Smart microalgae farming with internet-of-things for sustainable agriculture
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 …
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 …
by using Chlorella microalgae is presented in this paper. To generate the DEP forces, pairs …
Microalgae classification based on machine learning techniques
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 …
networks have been developed and validated. The models work in combination with …
Machine learning techniques to characterize functional traits of plankton from image data
Plankton imaging systems supported by automated classification and analysis have
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …
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
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 …
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 …
balance. Microalgae also have significant economic value. However, microalgae are too …