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

Author(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.)
Medium: journal article
Language(s): English
Published in: Journal of Environmental Engineering (ASCE), , n. 10, v. 143
Page(s): 04017070
DOI: 10.1061/(asce)ee.1943-7870.0001272
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)ee.1943-7870.0001272.
  • About this
    data sheet
  • Reference-ID
    10585988
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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