Semisupervised Clustering Approach for Pipe Failure Prediction with Imbalanced Data Set-Reference-Cited by-同舟云学术

Semisupervised Clustering Approach for Pipe Failure Prediction with Imbalanced Data Set

Published:2024-02 Issue:2 Volume:150 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Beig Zali Ramiz¹^ORCID,Latifi Milad²^ORCID,Javadi Akbar A.³,Farmani Raziyeh³

Affiliation:

1. Ph.D. Candidate, Centre for Water Systems, Univ. of Exeter, North Park Rd., Exeter EX4 4PY, UK (corresponding author). ORCID: .

2. Postdoctoral Researcher, Centre for Water Systems, Univ. of Exeter, North Park Rd., Exeter EX4 4PY, UK. ORCID:

3. Professor, Centre for Water Systems, Univ. of Exeter, North Park Rd., Exeter EX4 4PY, UK.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JWRMD5.WRENG-6263

Reference47 articles.

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3. Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection

4. Using generalized additive models to investigate the environmental effects on pipe failure in clean water networks

5. Improving pipe failure predictions: Factors affecting pipe failure in drinking water networks

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