Robotics & Machine Learning Daily News2024,Issue(Jul.12) :12-13.

Industrial Technology Research Institute Researcher Furthers Understanding of Ma chine Learning (Efficient Compressive Strength Prediction of Alkali-Activated Wa ste Materials Using Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.12) :12-13.

Industrial Technology Research Institute Researcher Furthers Understanding of Ma chine Learning (Efficient Compressive Strength Prediction of Alkali-Activated Wa ste Materials Using Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from Hsinchu, Ta iwan, by NewsRx correspondents, research stated, “This study exploresthe integr ation of machine learning (ML) techniques to predict and optimize the compressiv e strength ofalkali-activated materials (AAMs) sourced from four industrial was te streams: blast furnace slag, fly ash,reducing slag, and waste glass.”

Key words

Industrial Technology Research Institute/Hsinchu/Taiwan/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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