58 citations · 233 across the 28 of their papers we have counts for
30 papers
The Array Control and Data Acquisition software of the Cherenkov Telescope Array Observatory
I. Oya, B. López, P. Aubert +61
The Cherenkov Telescope Array Observatory (CTAO) aims to advance knowledge of the gamma-ray sky as the largest gamma-ray observatory ever built. The CTAO will be deployed at two si…
Semantic Feature Segmentation for Interpretable Predictive Maintenance in Complex Systems
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
Predictive maintenance in complex systems is often complicated by the heterogeneity and redundancy of monitored variables,which can obscure fault-relevant information and reduce mo…
Multivariate time-series forecasting of ASTRI-Horn monitoring data: A Normal Behavior Model
Federico Incardona, Alessandro Costa, Farida Farsian +8
This study presents a Normal Behavior Model (NBM) developed to forecast monitoring time-series data from the ASTRI-Horn Cherenkov telescope under normal operating conditions. The a…
SERVIMON: AI-Driven Predictive Maintenance and Real-Time Monitoring for Astronomical Observatories
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
Objective: ServiMon is designed to offer a scalable and intelligent pipeline for data collection and auditing to monitor distributed astronomical systems such as the ASTRI Mini-Arr…
Segmentation over Complexity: Evaluating Ensemble and Hybrid Approaches for Anomaly Detection in Industrial Time Series
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
In this study, we investigate the effectiveness of advanced feature engineering and hybrid model architectures for anomaly detection in a multivariate industrial time series, focus…
Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
Concerning machine learning, segmentation models can identify state changes within time series, facilitating the detection of transitions between normal and anomalous conditions. S…