Difference between revisions of "ML-TN-004 — Machine Learning, spectroscopy, and materials classification"
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==Introduction== | ==Introduction== | ||
| − | 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 | + | Classification and detection of materials is another interesting use case where Machine Learning opens the doors for promising developments related to smart edge devices. In this Technical Note (TN), different embedded platforms |
==References== | ==References== | ||
*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 | *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 | *N. Salamati, C. Fredembach, S. Susstrunk, ''Material Classification Using Color and NIR Images'', 2009 | ||
| − | *Zackory Erickson, Nathan Luskey, Sonia Chernova, and Charles C. | + | *Zackory Erickson, Nathan Luskey, Sonia Chernova, and Charles C. Kemp, ''Zackory Erickson, Nathan Luskey, Sonia Chernova, and Charles C. Kemp'', 2019 |
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Contents
History[edit | edit source]
| Version | Date | Notes |
|---|---|---|
| 1.0.0 | October 2021 | First public release |
Introduction[edit | edit source]
Classification and detection of materials is another interesting use case where Machine Learning opens the doors for promising developments related to smart edge devices. In this Technical Note (TN), different embedded platforms
References[edit | edit source]
- 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. Kemp, Zackory Erickson, Nathan Luskey, Sonia Chernova, and Charles C. Kemp, 2019
