首页|Studies from Faculty of Engineering Provide New Data on Machine Learning (Unsupe rvised machine learning for identifying key risk factors contributing to constru ction delays)
Studies from Faculty of Engineering Provide New Data on Machine Learning (Unsupe rvised machine learning for identifying key risk factors contributing to constru ction delays)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingout of Mafraq, Jordan, by New sRx editors, research stated, “The present study uses unsupervised machinelearn ing capabilities with an emphasis on K-means clustering for addressing the probl em of constructiondelays. The primary objective is to investigate the critical risk factors that contribute to such delays,thereby enabling more efficient ris k-management strategies.”
Faculty of EngineeringMafraqJordanAsiaCyborgsEmerging TechnologiesMachine LearningRisk and Prevention
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