Microalgae with artificial intelligence: A digitalized perspective on genetics, systems and products
With recent advances in novel gene-editing tools such as RNAi, ZFNs, TALENs, and
CRISPR-Cas9, the possibility of altering microalgae toward designed properties for various …
CRISPR-Cas9, the possibility of altering microalgae toward designed properties for various …
Modeling of biological water and wastewater treatment processes using artificial neural networks
AR Khataee, MB Kasiri - CLEAN–Soil, Air, Water, 2011 - Wiley Online Library
A growing world population, unrelenting urbanization, increasing scarcity of good quality
water resources, and rising fertilizer applications are the driving forces behind the …
water resources, and rising fertilizer applications are the driving forces behind the …
[HTML][HTML] Microalgal cultures for the remediation of wastewaters with different nitrogen to phosphorus ratios: Process modelling using artificial neural networks
EM Salgado, AF Esteves, AL Gonçalves… - Environmental …, 2023 - Elsevier
Microalgae have remarkable potential for wastewater bioremediation since they can
efficiently uptake nitrogen and phosphorus in a sustainable and environmentally friendly …
efficiently uptake nitrogen and phosphorus in a sustainable and environmentally friendly …
Mechanistic model for the reclamation of industrial wastewaters using algal− bacterial photobioreactors
A mechanistic model describing the steady-state biodegradation of inhibitory pollutants by
algal− bacterial consortia in enclosed chemostat photobioreactors was developed. The …
algal− bacterial consortia in enclosed chemostat photobioreactors was developed. The …
Artificial neural network modeling for predicting the growth of the microalga Karlodinium veneficum
F García-Camacho, L López-Rosales… - Algal research, 2016 - Elsevier
A feed-forward back-propagation neural network (FBN) was used as a tool for predicting the
growth dynamics of the microalga Karlodinium veneficum in a culture medium with any …
growth dynamics of the microalga Karlodinium veneficum in a culture medium with any …
Artificial intelligence in bioremediation modelling and clean-up of contaminated sites: recent advances, challenges and opportunities
PF Steffi, B Thirumalaiyammal, R Anburaj… - Omics Insights in …, 2022 - Springer
The present environmental balance has been jeopardised by a scarcity of natural resources
and sometimes harmful human efforts that try to impose authority on them. As a result, water …
and sometimes harmful human efforts that try to impose authority on them. As a result, water …
Application of artificial intelligence tools in wastewater and waste gas treatment systems: Recent advances and prospects
The non-linear complex relationships among the process variables in wastewater and waste
gas treatment systems possess a significant challenge for real-time systems modelling. Data …
gas treatment systems possess a significant challenge for real-time systems modelling. Data …
Carbon Dioxide Fixation by Chlorella Minutissima Batch Cultures in a Stirred Tank Bioreactor
V Sankar, DK Daniel, A Krastanov - … & Biotechnological Equipment, 2011 - Taylor & Francis
Increasing concentrations of CO2 in the atmosphere is causing severe environmental
destruction to the earth. To capture the excess CO2, its microalgal sequestration is …
destruction to the earth. To capture the excess CO2, its microalgal sequestration is …
[HTML][HTML] Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich …
The performance of a packed bed reactor (PBR) containing immobilized sulphate reducing
bacteria for sulphate removal from wastewater, utilizing carbon monoxide (CO) as the sole …
bacteria for sulphate removal from wastewater, utilizing carbon monoxide (CO) as the sole …
Modelling of multi-nutrient interactions in growth of the dinoflagellate microalga Protoceratium reticulatum using artificial neural networks
L López-Rosales, JJ Gallardo-Rodríguez… - Bioresource …, 2013 - Elsevier
This study examines the use of artificial neural networks as predictive tools for the growth of
the dinoflagellate microalga Protoceratium reticulatum. Feed-forward back-propagation …
the dinoflagellate microalga Protoceratium reticulatum. Feed-forward back-propagation …