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Case-based reasoning for the prediction of flash flood

Autor(es) y otros:
Fernádez, E.; Villar Flecha, José RamónAutoridad Uniovi; Navarro, A.; Sedano, J.
Fecha de publicación:
2023
Versión del editor:
http://dx.doi.org/10.1007/978-3-031-18050-7_58
Citación:
Fernádez, E., Villar, J. R., Navarro, A., Sedano, J. (2023). Case-based reasoning for the prediction of flash flood. En P. García Brigas, et al. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 (p. 596-605). Cham, Switzerland : Springer
Serie:

Lecture Notes in Networks and Systems; v. 531

Descripción física:
p. 596-605
Resumen:

International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 (17th. 2022. Salamanca, Spain)

International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 (17th. 2022. Salamanca, Spain)

URI:
http://hdl.handle.net/10651/66738
ISBN:
9783031180491; 9783031180507
ISSN:
2367-3370
DOI:
10.1007/978-3-031-18050-7_58
Patrocinado por:

This research has been founded by European Union’s Horizon 2020 research and innovation programme (project DIH4CPS) under the Grant Agreement no 872548. Furthermore, this research has been funded by the SUDOE Interreg Program -grant INUNDATIO SOE3/P4/E0929-, by the Spanish Ministry of Economics and Industry, grant PID2020-112726RB-I00, by the Spanish Research Agency (AEI, Spain) under grant agreement RED2018-102312-T (IA-Biomed), by CDTI (Centro para el Desarrollo Tecnológico Industrial) under projects CER-20211003 and CER-20211022, by and Missions Science and Innovation project MIG-20211008 (INMERBOT). Also, by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994 and by ICE (Junta de Castilla y León) under project CCTT3/20/BU/0002.

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