Skip to main navigation Skip to search Skip to main content

Optimizing SVM models as predicting tools for sewer pipes conditions in the two main cities in Colombia for different sewer asset management purposes

  • Nathalie Hernández
  • , Nicolas Caradot
  • , Hauke Sonnenberg
  • , Pascale Rouault
  • , Andrés Torres
  • Universidad Javeriana
  • Urban water department

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Fingerprint

Dive into the research topics of 'Optimizing SVM models as predicting tools for sewer pipes conditions in the two main cities in Colombia for different sewer asset management purposes'. Together they form a unique fingerprint.
Sort by

INIS

Keyphrases

Engineering