首页|Study Findings from Ural Federal University Provide New Insights into Machine Le arning (Vibration-based RF-SVM for PC structural defect detection and assessment )
Study Findings from Ural Federal University Provide New Insights into Machine Le arning (Vibration-based RF-SVM for PC structural defect detection and assessment )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsreporting originating from Ura l Federal University by NewsRx correspondents, research stated, “Machinelearnin g techniques have great potential in structural health monitoring (SHM) and dama ge assessmentof precast concrete (PC) structures. However, traditional damage a ssessment methods, such as finiteelement analysis, structural reliability analy sis, and model testing, have limitations in terms of accuracy,efficiency, and a pplicability to complex real-world scenarios.”
Ural Federal UniversityCyborgsEmergi ng TechnologiesMachine LearningSupport Vector Machines
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