0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Improving Urban Water Security through Pipe-Break Prediction Models: Machine Learning or Survival Analysis

Author(s): ORCID (Ph.D. Candidate and Research Assistant, School of Engineering, Univ. of Guelph, Guelph, ON, Canada N1G 2W1 (corresponding author))
ORCID (Professor, School of Engineering, Univ. of Guelph, Guelph, ON, Canada N1G 2W1)
Medium: journal article
Language(s): English
Published in: Journal of Environmental Engineering (ASCE), , n. 3, v. 146
Page(s): 04019129
DOI: 10.1061/(asce)ee.1943-7870.0001657
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.1943-7870.0001657.
  • About this
    data sheet
  • Reference-ID
    10586376
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine