Researchers at Afe Babalola University Target Machine Learning (Predicting mecha nical properties of self-healing concrete with Trichoderma Reesei Fungus using m achine learning)

Afe Babalola大学的研究人员目标机器学习(利用机器学习预测里氏木霉真菌自愈合混凝土的力学性能)

Robotics & Machine Learning Daily News2024，Issue(Dec.5) ：87-87.

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Researchers at Afe Babalola University Target Machine Learning (Predicting mecha nical properties of self-healing concrete with Trichoderma Reesei Fungus using m achine learning)

Afe Babalola大学的研究人员目标机器学习(利用机器学习预测里氏木霉真菌自愈合混凝土的力学性能)

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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-一项关于人工智能的新研究现在可用。根据新闻报道NewsRx编辑对Afe Babalola大学的研究表明：“里氏木霉是一种中温菌。”丝状真菌。它是一种假单胞菌Hocrea jecorina的无性型,另外,里氏木霉也可以分泌大量纤维素分解酶,形成葡聚糖PDA(马铃薯葡萄糖琼脂)和马铃薯注射。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reporting outof Afe Babalola University by NewsRx editors, research stated, “AbstractTrichoderma Reesei is a mesophilican d filamentous fungus. It is an anamorph of the fungus Hypocrea jecorina, in addi tion, T. reesei cansecrete large amounts of cellulolytic enzymes and form dextr ose PDA (potato dextrose agar) and potatoinjection.”

Key words

Afe Babalola University/Cyborgs/Emergi ng Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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