ACERNESE, ANTONIO

ACERNESE, ANTONIO  

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Titolo Data di pubblicazione Autore(i) File
A combined support vector machine and support vector representation machine method for production control 1-gen-2019 Acernese, A.; Del Vecchio, C.; Glielmo, L.; Fenu, G.; Pellegrino, F. A.
Condition Based Maintenance for Industrial Labeling Machine 1-gen-2019 Acernese, A.; Del Vecchio, C.; Tipaldi, M.; Glielmo, L.
Condition-based maintenance: an industrial application on rotary machines 1-gen-2020 Acernese, A.; Del Vecchio, C.; Tipaldi, M.; Battilani, N.; Glielmo, L.
Double deep-Q learning-based output tracking of probabilistic Boolean control networks 1-gen-2020 Acernese, A.; Yerudkar, A.; Glielmo, L.; Del Vecchio, C.
Fault Detection and Diagnosis in Steel Industry: A One Class-Support Vector Machine Approach 1-gen-2021 Russo, L.; Sarda, K.; Glielmo, L.; Acernese, A.
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes 1-gen-2022 Mazzoleni, M.; Sarda, K.; Acernese, A.; Russo, L.; Manfredi, L.; Glielmo, L.; Del Vecchio, C.
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks 1-gen-2021 Acernese, A.; Yerudkar, A.; Glielmo, L.; Del Vecchio, C.
A multi-step anomaly detection strategy based on robust distances for the steel industry 1-gen-2021 Sarda, K.; Acernese, A.; Nolè, V.; Manfredi, L.; Greco, L.; Glielmo, L.; Del, Vecchio
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems 1-gen-2022 Acernese, A.; Yerudkar, A.; Del Vecchio, C.
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks 1-gen-2020 Acernese, Antonio; Yerudkar, Amol; Glielmo, Luigi; Del Vecchio, Carmen
Robust statistics-based anomaly detection in a steel industry 1-gen-2021 Acernese, A.; Sarda, K.; Nole, V.; Manfredi, L.; Greco, L.; Glielmo, L.; Del Vecchio, C.