首页|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)

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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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.”

ItajubaBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University Itajuba

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.15)