Physics-assisted machine learning for THz time-domain spectroscopy: sensing leaf wetness
Abstract Signal processing techniques are of vital importance to bring THz spectroscopy to a maturity level to reach practical applications. In this work, we illustrate the use of machine learning techniques for THz time-domain spectroscopy assisted by domain knowledge based on light–matter interact...
| Main Authors: | , , , , , |
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| Format: | Article |
| Jezik: | English |
| Izdano: |
Nature Portfolio
2024-03-01
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| Serija: | Scientific Reports |
| Online dostop: | https://doi.org/10.1038/s41598-024-57161-4 |