Search Results for author: Juan José Contreras Gonzáles

Found 1 papers, 0 papers with code

Anomaly detection in laser-guided vehicles' batteries: a case study

no code implementations27 Dec 2022 Gianfranco Lombardo, Stefano Cagnoni, Stefano Cavalli, Juan José Contreras Gonzáles, Francesco Monica, Monica Mordonini, Michele Tomaiuolo

Detecting anomalous data within time series is a very relevant task in pattern recognition and machine learning, with many possible applications that range from disease prevention in medicine, e. g., detecting early alterations of the health status before it can clearly be defined as "illness" up to monitoring industrial plants.

Anomaly Detection Scheduling +2

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