Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning
Crossref DOI link: https://doi.org/10.1007/s11783-023-1721-1
Published Online: 2023-04-30
Published Print: 2023-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Xian, Haoyang
He, Pinjing
Lan, Dongying
Qi, Yaping
Wang, Ruiheng
Lü, Fan
Zhang, Hua
Long, Jisheng
Text and Data Mining valid from 2023-04-30
Version of Record valid from 2023-04-30
Article History
Received: 28 May 2022
Revised: 19 March 2023
Accepted: 20 March 2023
First Online: 30 April 2023