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An integrated CBLA-Net with fractional discrete wavelet transform and frequency-based CARS to predict heavy metal elements by XRF.
Yang, Wanqi; Li, Fusheng; Zhang, Qinglun; Lyu, Shubin.
Affiliation
  • Yang W; School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, 313001, PR China.
  • Li F; School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, 313001, PR China. Electronic address: lifusheng@uestc.edu.cn.
  • Zhang Q; School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, 313001, PR China.
  • Lyu S; School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, 313001, PR China.
Anal Chim Acta ; 1323: 343073, 2024 Sep 22.
Article de En | MEDLINE | ID: mdl-39182974
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Anal Chim Acta Année: 2024 Type de document: Article Pays de publication: Pays-Bas
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Anal Chim Acta Année: 2024 Type de document: Article Pays de publication: Pays-Bas