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ORCIDAntonio Acernese
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2020 – today
- 2024
[c9]Giulio Borrello, Luca Lorusso, Michele Basso, Antonio Acernese:
Trajectory Planning Based on Model Predictive Control with Dynamic Obstacle Avoidance in Unstructured Environments. ECC 2024: 448-455- [c8]Antonio Acernese, Giulio Borrello, Luca Lorusso, Michele Basso:
Informed Hybrid A Star-based Path Planning Algorithm in Unstructured Environments. ECC 2024: 1039-1044 - 2022
- [j5]Mirko Mazzoleni
, Kisan Sarda, Antonio Acernese, Luigi Russo, Leonardo Manfredi, Luigi Glielmo, Carmen Del Vecchio:
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes. Eng. Appl. Artif. Intell. 115: 105317 (2022) - [c7]Antonio Acernese, Amol Yerudkar, Carmen Del Vecchio:
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems. ACC 2022: 2650-2655 - 2021
- [j4]Kisan Sarda, Antonio Acernese, Vittorio Nolè, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio:
A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry. IEEE Access 9: 53827-53837 (2021) - [j3]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks. IEEE Control. Syst. Lett. 5(1): 337-342 (2021) - [j2]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks. IEEE Control. Syst. Lett. 5(5): 1639-1644 (2021) - [c6]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Model-free Self-triggered Control Co-design for Probabilistic Boolean Control Networks. ACC 2021: 380-385 - [c5]Kisan Sarda, Antonio Acernese, Luigi Russo, Mirko Mazzoleni:
A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines. IECON 2021: 1-6 - [c4]Antonio Acernese, Kisan Sarda, Vittorio Nolè, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio:
Robust Statistics-based Anomaly Detection in a Steel Industry. MED 2021: 1058-1063 - [c3]Luigi Russo, Kisan Sarda, Luigi Glielmo, Antonio Acernese:
Fault Detection and Diagnosis in Steel Industry: a One Class-Support Vector Machine Approach. SMC 2021: 2304-2309 - 2020
- [j1]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks. IEEE Access 8: 199254-199265 (2020)
2010 – 2019
- 2019
- [c2]Antonio Acernese, Carmen Del Vecchio, Luigi Glielmo, Gianfranco Fenu, Felice Andrea Pellegrino:
A Combined Support Vector Machine and Support Vector Representation Machine Method for Production Control. ECC 2019: 512-517 - [c1]Antonio Acernese, Carmen Del Vecchio, Massimo Tipaldi, Luigi Glielmo:
Condition Based Maintenance for Industrial Labeling Machine. ICSRS 2019: 46-50
Coauthor Index
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