Robotics & Machine Learning Daily News2024,Issue(Dec.17) :106-107.

University of Rhode Island Reports Findings in Machine Learning (Integrating Dat a Imputation and Augmentation With Interpretable Machine Learning for Efficient Strength Prediction of Fly Ash-based Alkali-activated Concretes)

Robotics & Machine Learning Daily News2024,Issue(Dec.17) :106-107.

University of Rhode Island Reports Findings in Machine Learning (Integrating Dat a Imputation and Augmentation With Interpretable Machine Learning for Efficient Strength Prediction of Fly Ash-based Alkali-activated Concretes)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Kingston, R hode Island, by NewsRx correspondents, research stated, “Flyash-based alkali-ac tivated concrete (AAC) is renowned for its superior mechanical performance and sustainability, presenting an attractive alternative to traditional Portland ceme nt concrete. Despite theseadvantages, the broad compositional range of AACs pre sents challenges in precisely tailoring materialproperties.”

Key words

Kingston/Rhode Island/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Univ ersity of Rhode Island

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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