Using Data-Base Deep Learning Artificial Intelligence in Leak Detection for Sustainable Water Resources Management

Author:

Obaid Anas,Al Mubarak Muneer

Publisher

Springer Nature Switzerland

Reference31 articles.

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2. Shin, B.-H., Lee, J.W., Kang, Y.S.: Water pipe rehabilitation and smart safety management system. Korean Soc. Civ. Eng. 66, 80–83 (2018)

3. Yoo, D.G., Choi, D.Y., Kim, K.P.: Trends and improvements in data-driven medium to large leak recognition models. Water Future 51, 20–33 (2018)

4. Rossman, L.A. EPANET users manual; US environmental protection agency (EPA), Washington, DC, USA

5. Taormina, R., Galelli, S., Tippenhauer, N.O., Salomons, E., Ostfeld, A., Eliades, D.G., Aghashahi, M., Sundararajan, R., Pourahmadi, M., Banks, M.K., et al.: Battle of the attack detection algorithms: disclosing cyber attacks on water distri- bution networks. J. Water Resour. Plan. Manag. 144, 04018048 (2018)

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