Multi-Wavelength Machine Learning for High-Precision Colorimetric Sensing
Majid Aalizadeh, Chinmay Raut, Ali Tabartehfarahani, Xudong Fan · 2026
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Description
Majid Aalizadeh and coauthors use many light waves plus machine learning for color based sensing in a 2026 study. Plain color tests read strength at one picked wave and throw the rest of the spectrum away. Food dye mixes in water served as the test case.
A pick routine chose twelve waves with the most signal from full spectra. A plain line model on those waves cut guess error a huge amount next to the one wave way. Cross checks kept the pick honest and stopped false fit. No gear change was called for to gain the gain. Test kits for health, farm, and plant use could take this path next.
Catalog record
| CREATOR | Majid Aalizadeh, Chinmay Raut, Ali Tabartehfarahani, Xudong Fan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |