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1 Ergebnisse
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Rapid identification of hazardous heavy metal-containing wa..:
Teng, Jing
;
Shi, Yao
;
Liu, Zuo-Hua
...
Resources, Conservation and Recycling. 198 (2023) - p. 107155 , 2023
Link:
https://doi.org/10.1016/j.resconrec.2023.107155
RT Journal T1
Rapid identification of hazardous heavy metal-containing waste by combining EDXRF with machine learning: Taking zinc smelting waste as an example
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.resconrec.2023.107155&Exemplar=1&LAN=DE A1 Teng, Jing A1 Shi, Yao A1 Liu, Zuo-Hua A1 Li, Hui-Quan A1 He, Ming-Xing A1 Li, Zhi-Hong A1 Zhang, Chen-Mu PB Elsevier BV YR 2023 SN 0921-3449 JF Resources, Conservation and Recycling VO 198 SP 107155 LK http://dx.doi.org/https://doi.org/10.1016/j.resconrec.2023.107155 DO https://doi.org/10.1016/j.resconrec.2023.107155 SF ELIB - SuUB Bremen
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