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HDR image-based deep learning approach for automatic detection of split defects on sheet metal stamping parts (2023)

First Author: Singh A

Attributed to: UKRI Interdisciplinary Centre for CircularMetal funded by SPF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s00170-022-10763-6

Publication URI: http://dx.doi.org/10.1007/s00170-022-10763-6

Type: Journal Article/Review

Parent Publication: The International Journal of Advanced Manufacturing Technology

Issue: 5-6