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Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump
ArticleAbstract: The data unavailability of critical machinery is an open issue in the field of condition-based maintPalabras claves:Anomaly detection, Condition-Based Maintenance, Fault Detection, Feature Extraction, Generative Adversarial Network, Generative Adversarial Networks, hydraulic pump, mathematical models, Pumps, Task analysis, VibrationsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Li C., Long J., Mariela Cerrada Lozada, Mauricio Leonardo Villacís, René-Vinicio Sánchez Loja, Sancho F.Fuentes:googlescopusRainfall Forecasting using a Bayesian framework and Long Short-Term Memory Multi-model Estimation based on an hourly meteorological monitoring network. Case of study: Andean Ecuadorian Tropical City
ArticleAbstract: Rainfall forecasting is a challenging task due to the time-dependencies of the variables and the stoPalabras claves:Bayesian optimization, deep learning, long short-Term memory, Rainfall modeling, Time-series forecastingAutores:Diego R. Cabrera, Li C., María Quinteros, Mariela Cerrada Lozada, Mario Guallpa, René-Vinicio Sánchez Loja, Sancho F.Fuentes:scopus