Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models-Reference-Cited by-同舟云学术

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Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models

Published:2021-11-14 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Soldevila Adrià,Boracchi Giacomo,Roveri Manuel,Tornil-Sin Sebastian,Puig Vicenç

Funder

European Regional Development Fund

Ministerio de Economía, Industria y Competitividad, Gobierno de España

European Commission

European Social Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06666-4.pdf

Reference60 articles.

1. Alippi C, Boracchi G, Roveri M (2010) Change detection tests using the ICI rule. In: The 2010 international joint conference on neural networks (IJCNN), pp 1 –7

2. Alippi C, Boracchi G, Roveri M (2016) Hierarchical change-detection tests. IEEE Trans Neural Netw Learn Syst PP(99):1–13

3. Alippi C, Boracchi G, Roveri M (2017) Hierarchical change-detection tests. IEEE Trans Neural Netw Learn Syst 28(2):246–258

4. Alippi C, Scotti F (2006) Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers. IEEE Trans Neural Netw 17(3):745–754

5. Alvisi S, Franchini M, Marinelli A (2007) A short-term, pattern-based model for water-demand forecasting. J Hydroinf 9(1):39–50

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