Intelligent Models for Forecasting Repair Timing of Leakage Water Pipelines
Author:
Affiliation:
1. Faculty of Graduate Studies for Statistical Research,Department of Information Systems and Technology,Cairo,Egypt
2. Faculty of Computers and Artificial Intelligence,Department of Computer Science,Cairo,Egypt
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278292/10278293/10278375.pdf?arnumber=10278375
Reference27 articles.
1. A statistically based fault detection and diagnosis approach for non-residential building water distribution systems
2. A Practical Guide to Support Vector Classification;hsu;BJU Int,2008
3. Leak Detection in Natural Gas Pipelines Using Intelligent Models
4. Ensemble-based machine learning approach for improved leak detection in water mains
5. Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data
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1. An ensemble learning model for forecasting water-pipe leakage;Scientific Reports;2024-05-09
2. An Ensemble Learning Model for Forecasting Water-pipe Leakage;2024-02-06
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