Robotics & Machine Learning Daily News2024,Issue(Mar.19) :85-86.DOI:10.1016/j.autcon.2023.105013

Studies from Clemson University Have Provided New Data on Machine Learning [Automated Prioritization of Construction Project Requirements Using Machine Lear ning and Fuzzy Failure Mode and Effects Analysis (Fmea)]

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :85-86.DOI:10.1016/j.autcon.2023.105013

Studies from Clemson University Have Provided New Data on Machine Learning [Automated Prioritization of Construction Project Requirements Using Machine Lear ning and Fuzzy Failure Mode and Effects Analysis (Fmea)]

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Abstract

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 out of Clemson, South Carolina, by N ewsRx editors, research stated, “Due to the emergence of risk-based verification practices, requirement prioritization has gained importance as a task in projec t requirements management. However, it is challenging due to the voluminous pape r-based requirements, the reliance on manual content analysis and interviews, th e limited focus on specific requirement types, and the neglect of the non-confor mance detectability factor.”

Key words

Clemson/South Carolina/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Ris k and Prevention/Clemson University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量46
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