Leak Detection Methods in Water Distribution Networks: A Comparative Survey on Artificial Intelligence Applications-Reference-Cited by-同舟云学术

Leak Detection Methods in Water Distribution Networks: A Comparative Survey on Artificial Intelligence Applications

Published:2022-08 Issue:3 Volume:13 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Kammoun Maryam¹^ORCID,Kammoun Amina²,Abid Mohamed³

Affiliation:

1. Ph.D. Student, Computer Embedded Systems Research Laboratory, National Engineering School of Sfax, Sfax Univ., Sfax 3038, Tunisia (corresponding author). ORCID: .

2. Ph.D. Student, Computer Embedded Systems Research Laboratory, National Engineering School of Sfax, Sfax Univ., Sfax 3038, Tunisia.

3. Professor and Head, Computer Embedded Systems Research Laboratory, National Engineering School of Sfax, Sfax Univ., Sfax 3038, Tunisia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000646

Reference103 articles.

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2. Abdelhafidh M. L. C. Fourati M. Fourati and A. Abidi. 2017. “Hybrid mechanism for remote water pipeline monitoring system.” In Proc. 2017 13th Int. Wireless Communications and Mobile Computing Conf. (IWCMC) 2140–2145. New York: IEEE.

3. Adedeji K. Y. Hamam B. Abe and A. M. Abu-Mahfouz. 2017a. “Leakage detection algorithm integrating water distribution networks hydraulic model.” In Proc. Choosing Right Model Appl. Hydraulics (SimHydro) 1–9. Berlin: Springer.

4. Towards Achieving a Reliable Leakage Detection and Localization Algorithm for Application in Water Piping Networks: An Overview

5. Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches

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