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Frontiers of Environmental Science & Engineering >> 2023, Volume 17, Issue 10 doi: 10.1007/s11783-023-1721-1
Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning
Abstract
● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.
Keywords
Elemental composition ; Infrared spectroscopy ; Machine learning ; Moisture interference ; Solid waste ; Spectral noise
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