Abstract: This research proposes a lightweight hybrid approach for anomaly detection in correlated IoT sensor data, combining PCA for fast monitoring and Autoencoders for deeper analysis. Validated on ...

Production Optimization, time-series ML, control Gas-lift/ESP setpoints, choke control 2–7% oil uplift; 20–40% downtime cut ...

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...

Abstract: Distributed Acoustic Sensing (DAS) has become a promising technology for many disciplines, including geophysics and marine biology. However, current processing and anomaly detection methods ...

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