首页|Studies from RWTH Aachen University Have Provided New Data on Machine Learning ( Holistic Image-based Analysis of Damage On Concrete Surfaces-a Multifaceted Appr oach Based On Supervised Machine Learning)
Studies from RWTH Aachen University Have Provided New Data on Machine Learning ( Holistic Image-based Analysis of Damage On Concrete Surfaces-a Multifaceted Appr oach Based On Supervised Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Aachen, Germany, by N ewsRx journalists, research stated, “Traditional manual methods for inspecting d amage on building structures, such as cracks or spalling on concrete surfaces, a re laborious, costly, and error-prone. Despite many attempts to automate this ta sk using digital photographs, most studies primarily focus on detecting damage w ithin images, neglecting the actual dimensions and their implications for struct ural integrity.”
AachenGermanyEuropeCyborgsEmergi ng TechnologiesMachine LearningRWTH Aachen University
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