正文
《环境科学与工程前沿(英文)》 >> 2023年 第17卷 第10期 doi: 10.1007/s11783-023-1721-1
Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning
摘要
● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.
关键词
Elemental composition ; Infrared spectroscopy ; Machine learning ; Moisture interference ; Solid waste ; Spectral noise
正文