首页|Reports Outline Machine Learning Study Findings from Czech Technical University (Effect of Number and Surface Area of the Aggregates On Machine Learning Predict ion Performance of Recycled Hot-mix Asphalt)
Reports Outline Machine Learning Study Findings from Czech Technical University (Effect of Number and Surface Area of the Aggregates On Machine Learning Predict ion Performance of Recycled Hot-mix Asphalt)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Prague, Czech Repub lic, by NewsRx journalists, research stated, “This study addresses the challenge of designing hot-mix asphalt by evaluating the impact of aggregate surface area (ASA) and the number of aggregates (NA) in machine learning (ML) models. A data set of 107 asphalt mixtures containing 0-50 % reclaimed asphalt pa vement (RAP) was analyzed.” Financial supporters for this research include Turkiye Bilimsel ve Teknolojik Ar astirma Kurumu (TUBITAK), Gazi University Scientific Research Projects Coordinat ion Unit, CTU.
PragueCzech RepublicEuropeCyborgsEmerging TechnologiesMachine LearningCzech Technical University
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