Robotics & Machine Learning Daily News2024,Issue(Sep.3) :117-117.

Study Results from Louisiana State University Provide New Insights into Machine Learning (A Machine Learning-based Framework for Predicting Pavement Roughness a nd Aggregate Segregation During Construction)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :117-117.

Study Results from Louisiana State University Provide New Insights into Machine Learning (A Machine Learning-based Framework for Predicting Pavement Roughness a nd Aggregate Segregation During Construction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Baton Rouge, Louisia na, by NewsRx editors, research stated, “Pavement constructionmonitoring and qu ality assurance (QA) practices are based mostly on costly, discrete, and destruc tivemethods. Most quality assurance programs are based on pavement construction procedures encompassingin situ coring for layer thickness determination, densi ty measurements, laboratory testing to measurevolumetric properties, and smooth ness measurements in the case of the availability of an inertial profiler.”Funders for this research include Transportation Consortium of South-Central Sta tes, Barry Moore ofthe Louisiana Department of Transportation and Development.

Key words

Baton Rouge/Louisiana/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Loui siana State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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