首页|Study Findings from University of Coimbra Provide New Insights into Machine Lear ning (A Machine-learning Based Approach To Estimate Acoustic Macroscopic Paramet ers of Porous Concrete)
Study Findings from University of Coimbra Provide New Insights into Machine Lear ning (A Machine-learning Based Approach To Estimate Acoustic Macroscopic Paramet ers of Porous Concrete)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Coimbra, Portugal, by NewsRx editors, research stated, "Porous concrete with expanded clay inherent porosity makes it an interesting and effective acoustic material, applied in numerous sc enarios such as highways, airports and architectural structures, due to its capa city to mitigate noise pollution, by absorbing and damping sound waves." Financial supporters for this research include Fundacao para a Ciencia e a Tecno logia (FCT), FCT/MCTES through national funds (PIDDAC) under Associate Laborator y Advanced Production and Intelligent Systems ARISE, Fundacao para a Ciencia e a Tecnologia (FCT).
CoimbraPortugalEuropeCyborgsEmer ging TechnologiesMachine LearningUniversity of Coimbra
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