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Classification of the Surface Technological Defects in Rolled Metal Products with the Help of a Deep Neural Network
Authors:Konovalenko  I. V.  Maruschak  P. O.
Affiliation:1.I. Pulyui Ternopil National Technical University, Ternopil, Ukraine
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Abstract:
Materials Science - We develop and study an automated method for the detection and classification of three types of technological defects in rolled metal products. The method is based on the...
Keywords:
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