Application of Regression-Based Machine Learning Algorithms in Sewer Condition Assessment for Ålesund City, Norway

Predicting the condition of sewer pipes plays a vital role in the formulation of predictive maintenance strategies to ensure the efficient renewal of sewer pipes. This study explores the potential application of ten machine learning (ML) algorithms to predict sewer pipe conditions in Ålesund, Norway...

Full description

Saved in:

Bibliographic Details
Published in:	Water (Basel) Vol. 14; no. 24; p. 3993
Main Authors:	Nguyen, Lam Van, Seidu, Razak
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2022
Subjects:	Accuracy Algorithms Artificial intelligence Comparative analysis data collection Environmental aspects Feature selection groundwater land use landslides Machine learning Maintenance and repair Norway Preventive maintenance Public health rain Sewer systems Sewer-pipe soil types Testing traffic Norway
ISSN:	2073-4441, 2073-4441
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!