Robotics & Machine Learning Daily News2024,Issue(Aug.26) :22-22.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.26) :22-22.

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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Abstract

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.”

Key words

Faculty of Engineering/Mafraq/Jordan/Asia/Cyborgs/Emerging Technologies/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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