首页|Findings from University of Chile Provides New Data on Machine Learning [Eruption Forecasting Model for Copahue Volcano (Southern Andes) Using Seismic Da ta and Machine Learning: a Joint Interpretation With Geodetic Data (Gnss and Ins ar)]
Findings from University of Chile Provides New Data on Machine Learning [Eruption Forecasting Model for Copahue Volcano (Southern Andes) Using Seismic Da ta and Machine Learning: a Joint Interpretation With Geodetic Data (Gnss and Ins ar)]
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Investigators publish new report on Ma chine Learning. According to news reporting originating in Santiago, Chile, by N ewsRx journalists, research stated, "Anticipating volcanic eruptions remains a c hallenge despite significant scientific advancements, leading to substantial hum an and economic losses. Traditional approaches, like volcano alert levels, provi de current volcanic states but do not always include eruption forecasts." Financial supporters for this research include Programa de Riesgo Sismico (PRS; Seismic Risk Program) of the Universidad de Chile, The project FONDECYT of the A gencia Nacional de Investigacion y Desarrollo (ANID), The project FONDECYT, ANID , Chile, New Zealand Ministry of Business, Innovation and Employment (MBIE), CON ICYT FONDECYT.
SantiagoChileSouth AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Chile
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