ML-TN-004 — Machine Learning, spectroscopy, and materials classification
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HistoryEdit
| Version | Date | Notes |
|---|---|---|
| 1.0.0 | October 2021 | First public release |
IntroductionEdit
Classification and detection of materials is another interesting use case where Machine Learning opens the doors for promising developments. In this Technical Note (TN), different embedded platforms
ReferencesEdit
- Hadi Parastara, Geert van Kollenburgb, Yannick Weesepoelc, André van den Doelb, Lutgarde Buydensb, Jeroen Jansen, Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity, 2020
- N. Salamati, C. Fredembach, S. Susstrunk, Material Classification Using Color and NIR Images, 2009
- Zackory Erickson, Nathan Luskey, Sonia Chernova, and Charles C. Kemp1, Zackory Erickson1, Nathan Luskey1, Sonia Chernova2, and Charles C. Kemp1, 2019