Engineering Faculty Reports Findings in Machine Learning (Enhancing the content of phycoerythrin through the application of microplastics from Porphyridium crue ntum produced in wastewater using machine learning methods)

工程系报告机器学习的发现(通过应用机器学习方法从废水中产生的紫球藻中提取的微塑料来提高藻红蛋白的含量)

Robotics & Machine Learning Daily News2024，Issue(Nov.22) ：46-46.

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Engineering Faculty Reports Findings in Machine Learning (Enhancing the content of phycoerythrin through the application of microplastics from Porphyridium crue ntum produced in wastewater using machine learning methods)

工程系报告机器学习的发现(通过应用机器学习方法从废水中产生的紫球藻中提取的微塑料来提高藻红蛋白的含量)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道来自土耳其安卡拉的新sRx记者研究称，“微藻可以产生次级代谢产物如藻红蛋白(Phy)。微塑料(MPs)废水处理效果(WW)和光强度(LI)参数，包括复杂数据集，从本研究采用机器学习方法对紫球藻进行了研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsoriginating from Ankara, Turkey, by New sRx correspondents, research stated, “Microalgae can producesecondary metabolit es like phycoerythrin (Phy). The effects of some microplastics (MPs), wastewater(WW), and light intensity (LI) parameters, including complex data sets, on Phy concentration fromPorphyridium cruentum were investigated using machine learnin g methods in this study.”

Key words

Ankara/Turkey/Eurasia/Biological Fact ors/Biological Pigments/Cyborgs/Emerging Technologies/Light-Harvesting Prote in Complexes/Machine Learning/Phycobiliproteins/Phycoerythrin/Plant Proteins/Proteins

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出版年

2024

Robotics & Machine Learning Daily News

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