首页|Reports Summarize Machine Learning Study Results from University of Quebec in Ch icoutimi (Machine Learning to Predict Workability and Compressive Strength of Lo w- and High-Calcium Fly Ash-Based Geopolymers)

Reports Summarize Machine Learning Study Results from University of Quebec in Ch icoutimi (Machine Learning to Predict Workability and Compressive Strength of Lo w- and High-Calcium Fly Ash-Based Geopolymers)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news reportingout of the University of Queb ec in Chicoutimi by NewsRx editors, research stated, “The potential substitutionof Portland cement-based concrete with low- and high-calcium fly ash-based geop olymers wasinvestigated.”

University of Quebec in ChicoutimiCybo rgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.12)