首页|Studies from Vellore Institute of Technology Have Provided New Data on Machine L earning (Diagnosis of Surface Defects In Hotrolled Steel From Deep Learning Fea tures Using Machine Learning Algorithms)

Studies from Vellore Institute of Technology Have Provided New Data on Machine L earning (Diagnosis of Surface Defects In Hotrolled Steel From Deep Learning Fea tures Using Machine Learning Algorithms)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have be en published. According to news reporting outof Chennai, India, by NewsRx edito rs, research stated, “Sheet metal manufacturing is a critical process inmany in dustries, and detecting faults in sheet metal is essential to ensure the quality of the final product.Common visual faults in sheet metal include crazing, incl usion, patches, pitted surface, rolled in, andscratches that can affect the str ength, durability, and overall quality of the material.”

ChennaiIndiaAsiaAlgorithmsCyborg sEmerging TechnologiesMachine LearningVellore Institute of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.9)