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Estado del arte de algoritmos de Machine Learning para la detección de rupturas súbitas.

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Title: Estado del arte de algoritmos de Machine Learning para la detección de rupturas súbitas.
Alternate Title: State of the art of Machine Learning algorithms for burst detection.
Authors: Chiang Cruz, Jaime Ernesto1 jaime.cc@civil.cujae.edu.cu, Vega González, Iliover2 ivegag@cime.cujae.edu.cu, Ramírez Beltrán, Jorge1 jorgeramirezcihcujae@gmail.com
Source: Ingenieria Hidraulica y Ambiental. abr-jun2024, Vol. 45 Issue 2, p78-89. 12p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Ingenieria+Hidraulica+y+Ambiental%22">Ingenieria Hidraulica y Ambiental</searchLink>. abr-jun2024, Vol. 45 Issue 2, p78-89. 12p.
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        Text: Spanish
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      – TitleFull: Estado del arte de algoritmos de Machine Learning para la detección de rupturas súbitas.
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            NameFull: Chiang Cruz, Jaime Ernesto
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            NameFull: Vega González, Iliover
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              Text: abr-jun2024
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              Y: 2024
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