Robotics & Machine Learning Daily News2024,Issue(Dec.31) :22-23.

Research Reports from Al-Ahliyya Amman University Provide New Insights into Mach ine Learning (Predicting Marshall stability and flow parameters in asphalt pavem ents using explainable machinelearning models)

Robotics & Machine Learning Daily News2024,Issue(Dec.31) :22-23.

Research Reports from Al-Ahliyya Amman University Provide New Insights into Mach ine Learning (Predicting Marshall stability and flow parameters in asphalt pavem ents using explainable machinelearning models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Amman, Jordan, by NewsRx correspondents, research stated, “The traditional method fordetermin ing the Marshall stability (MS) and Marshall flow (MF) of asphalt pavements is l aborious, timeconsuming, and costly.”

Key words

Al-Ahliyya Amman University/Amman/Jord an/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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