AIMC Topic: Porphyridium
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Graph-learning-based machine learning improves prediction and cultivation of commercial-grade marine microalgae Porphyridium.
Bioresource technology
Nov 7, 2024
A graph learning [Binarized Attributed Network Embedding (BANE)] model enhances the single-target and multi-target prediction performances of random forest and eXtreme Gradient Boosting (XGBoost) by learning complex interrelationships between cultiva...
Enhancing the content of phycoerythrin through the application of microplastics from Porphyridium cruentum produced in wastewater using machine learning methods.
Journal of environmental management
Nov 6, 2024
Microalgae can produce secondary metabolites like phycoerythrin (Phy). The effects of some microplastics (MPs), wastewater (WW), and light intensity (LI) parameters, including complex data sets, on Phy concentration from Porphyridium cruentum were in...
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