New US study says machine learning can help manufacturers more accurately predict the final colour of fabric after dyeing
RALEIGH - Machine learning can help reduce textile manufacturing waste by more accurately mapping how colours will change during the dyeing process, according to a new study.
Researchers at Wilson College of Textiles, at North Carolina State University, are behind the study which is published in the Fibers peer-reviewed journal.
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