Robotics & Machine Learning Daily News2024,Issue(Jul.15) :35-36.

Investigators from Federal University Itajuba Have Reported New Data on Machine Learning (Roughness Prediction Using Machine Learning Models In Hard Turning: an Approach To Avoid Rework and Scrap)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :35-36.

Investigators from Federal University Itajuba Have Reported New Data on Machine Learning (Roughness Prediction Using Machine Learning Models In Hard Turning: an Approach To Avoid Rework and Scrap)

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Abstract

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 originatingfrom Itajuba, Brazil, by NewsRx co rrespondents, research stated, “In recent years, the effectiveness ofintegratin g machine learning methods to predict surface roughness in machining processes h as becomewell-established. However, there is a noticeable gap in the literature concerning the inclusion of tool wearas an input variable.”

Key words

Itajuba/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Federal University Itajuba

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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