@article{49a1b17762be482d86aa4b06ba28c732,
title = "NIR Spectroscopy and Machine Learning for the Quantification of Blended Textiles: Towards Improved Understanding for Textile Recycling",
keywords = "cotton content prediction, cotton/polyester blends, machine learning, near-infrared spectroscopy (NIR), partial least squares (PLS) regression, spectral preprocessing, textile recycling",
author = "David Lilek and Yayla, \{Sebnem Sara\} and Hana Stipanovic and Fink, \{Thomas Klement\} and Jeannie Egan and Birgit Herbinger and Alexia Tischberger-Aldrian and Schimper, \{Christian B.\}",
note = "Publisher Copyright: {\textcopyright} 2026 by the authors.",
year = "2026",
month = apr,
doi = "10.3390/app16073242",
language = "English",
volume = "16",
journal = "Applied Sciences (Switzerland)",
issn = "2076-3417",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "7",
}