首页|Findings on Machine Learning Detailed by Investigators at University of Pittsbur gh (Nondestructive Estimation of Neutral Temperature In Rails: a Comparative Stu dy of Machine Learning Strategies)

Findings on Machine Learning Detailed by Investigators at University of Pittsbur gh (Nondestructive Estimation of Neutral Temperature In Rails: a Comparative Stu dy of Machine Learning Strategies)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Pittsburgh, Pennsyl vania, by NewsRx correspondents, research stated, “This paperpresents the lates t findings of a nondestructive evaluation technique currently under development at theUniversity of Pittsburgh to determine the rail neutral temperature (RNT) in continuous welded rails. Thetechnique is based on the extraction of relevant features from rail vibrations and the use of machine learning(ML) to associate these features to the longitudinal stress of the rail of interest.”

PittsburghPennsylvaniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUn iversity of Pittsburgh

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.22)