5 papers
Uncertainty and Business-Aware Remaining Useful Life Estimation for Semiconductor Manufacturing
Davide Frizzo, Francesco Borsatti, Gian Antonio Susto
Semiconductor manufacturing relies on tightly interconnected components, so early identification of the assets most likely to fail is essential to prevent a single breakdown from d…
Deep Learning for Virtual Reality User Identification: A Benchmark
Davide Frizzo, Fabrizio Genilotti, David Petrovic +6
Virtual Reality (VR) applications require robust user identification systems to ensure secure access to equipment and protect worker identities. Motion tracking data from VR headse…
A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models
Davide Frizzo, Francesco Borsatti, Gian Antonio Susto
Predictive Maintenance (PdM) is pivotal in Industry 4.0 and 5.0, proactively enhancing efficiency through accurate equipment Remaining Useful Life (RUL) prediction, thus optimizing…
Towards Transparent and Efficient Anomaly Detection in Industrial Processes through ExIFFI
Davide Frizzo, Francesco Borsatti, Alessio Arcudi +3
Anomaly Detection (AD) is crucial in industrial settings to streamline operations by detecting underlying issues. Conventional methods merely label observations as normal or anomal…
Enhancing Interpretability and Generalizability in Extended Isolation Forests
Alessio Arcudi, Davide Frizzo, Chiara Masiero +1
Anomaly Detection (AD) focuses on identifying unusual behaviors in complex datasets. Machine Learning (ML) algorithms and Decision Support Systems (DSSs) provide effective solution…