AIMC Topic: Chlorophyceae

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Online monitoring of Haematococcus lacustris cell cycle using machine and deep learning techniques.

Bioresource technology Dec 14, 2024
Optimal control and process optimization of astaxanthin production from Haematococcuslacustris is directly linked to its complex cell cycle ranging from vegetative green cells to astaxanthin-rich cysts. This study developed an automated online monito...
Neural Networks, Computer Machine Learning Deep Learning Image Processing, Computer-Assisted Cell Cycle Photobioreactors Online Systems Chlorophyceae
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New Models to Predict the Acute and Chronic Toxicities of Representative Species of the Main Trophic Levels of Aquatic Environments.

Molecules (Basel, Switzerland) Nov 19, 2021
To assess the impact of chemicals on an aquatic environment, toxicological data for three trophic levels are needed to address the chronic and acute toxicities. The use of non-testing methods, such as predictive computational models, was proposed to ...
Machine Learning Animals Water Pollutants, Chemical Models, Biological Fishes Daphnia Ecotoxicology Chlorophyceae
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A transfer learning approach for predictive modeling of bioprocesses using small data.

Biotechnology and bioengineering Nov 8, 2021
Predictive modeling of new biochemical systems with small data is a great challenge. To fill this gap, transfer learning, a subdomain of machine learning that serves to transfer knowledge from a generalized model to a more domain-specific model, prov...
Machine Learning Biomass Kinetics Models, Biological Microalgae Lutein Chlorophyceae
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