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Optimization and prediction of the cotton fabric dyeing process using Taguchi design-integrated machine learning approach
The typical textile dyeing process calls for a wide range of operational parameters, and it has always been difficult to pinpoint which of these qualities is the most important in dyeing performance. Consequently, this research used a combined design of experiments and machine learning prediction mo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390507/ https://www.ncbi.nlm.nih.gov/pubmed/37524835 http://dx.doi.org/10.1038/s41598-023-39528-1 |