首页|Investigators at Gdansk University of Technology Report Findings in Machine Lear ning (Machine-learning Methods for Estimating Compressive Strength of High-perfo rmance Alkali-activated Concrete)
Investigators at Gdansk University of Technology Report Findings in Machine Lear ning (Machine-learning Methods for Estimating Compressive Strength of High-perfo rmance Alkali-activated Concrete)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Gdan sk, Poland, by NewsRx correspondents, research stated, "Highperformance alkali- activated concrete (HP-AAC) is acknowledged as a cementless and environmentally friendly material. It has recently received a substantial amount of interest not only due to the potential it has for being used instead of ordinary concrete bu t also owing to the concerns associated with climate change, sustainability, red uction of CO2 2 emissions, and energy consumption." Financial supporters for this research include Project "STE (E) R-ING towards In ternational Doctoral School", Polish National Agency for Academic Exchange (NAWA ).
GdanskPolandEuropeCyborgsEmergin g TechnologiesMachine LearningGdansk University of Technology
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