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Water-Quality Prediction Using Multimodal Support Vector Regression: Case Study of Jialing River, China

Auteur(s): (Master Candidate, Dept. of Civil Engineering, Chongqing Telecommunication Polytechnic College, No. 5, Xueyuan Ave., Jiangjin District, Chongqing 402247, China.)
(Master Candidate, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business Univ., No. 19, Xuefu Ave., Nanan District, Chongqing 400067, China.)
(Senior Engineer, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business Univ., No. 19, Xuefu Ave., Nanan District, Chongqing 400067, China.)
(Assistant Professor, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business Univ., No. 19, Xuefu Ave., Nanan District, Chongqing 400067, China (corresponding author).)
(Professor, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business Univ., No. 19, Xuefu Ave., Nanan District, Chongqing 400067, China.)
Médium: article de revue
Langue(s): anglais
Publié dans: Journal of Environmental Engineering (ASCE), , n. 10, v. 143
Page(s): 04017070
DOI: 10.1061/(asce)ee.1943-7870.0001272
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1061/(asce)ee.1943-7870.0001272.
  • Informations
    sur cette fiche
  • Reference-ID
    10585988
  • Publié(e) le:
    08.03.2021
  • Modifié(e) le:
    08.03.2021
 
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