Antonio Acernese

16 papers B 1C 3Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
DR-PETS: Learning-Based Control With Planning in Adversarial Environments.
CoRR
Hozefa Jesawada, Antonio Acernese, Giovanni Russo, Carmen Del Vecchio
2025 J jnl
DR-PETS: Learning-Based Control With Planning in Adversarial Environments.
IEEE Control. Syst. Lett.
Hozefa Jesawada, Antonio Acernese, Davide Del Vecchio, Giovanni Russo, Carmen Del Vecchio
2024 — conf
Informed Hybrid A Star-based Path Planning Algorithm in Unstructured Environments.
ECC
Antonio Acernese, Giulio Borrello, Luca Lorusso, Michele Basso
2024 — conf
Trajectory Planning Based on Model Predictive Control with Dynamic Obstacle Avoidance in Unstructured Environments.
ECC
Giulio Borrello, Luca Lorusso, Michele Basso, Antonio Acernese
2022 C conf
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems.
ACC
Antonio Acernese, Amol Yerudkar, Carmen Del Vecchio
2022 J jnl
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes.
Eng. Appl. Artif. Intell.
Mirko Mazzoleni, Kisan Sarda, Antonio Acernese, Luigi Russo, Leonardo Manfredi, Luigi Glielmo, Carmen Del Vecchio
2021 J jnl
A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry.
IEEE Access
Kisan Sarda, Antonio Acernese, Vittorio Nolè, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio
2021 C conf
A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines.
IECON
Kisan Sarda, Antonio Acernese, Luigi Russo, Mirko Mazzoleni
2021 B conf
Fault Detection and Diagnosis in Steel Industry: a One Class-Support Vector Machine Approach.
SMC
Luigi Russo, Kisan Sarda, Luigi Glielmo, Antonio Acernese
2021 J jnl
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett.
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2021 C conf
Model-free Self-triggered Control Co-design for Probabilistic Boolean Control Networks.
ACC
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2021 J jnl
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett.
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2021 — conf
Robust Statistics-based Anomaly Detection in a Steel Industry.
MED
Antonio Acernese, Kisan Sarda, Vittorio Nolè, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio
2020 J jnl
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks.
IEEE Access
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2019 — conf
A Combined Support Vector Machine and Support Vector Representation Machine Method for Production Control.
ECC
Antonio Acernese, Carmen Del Vecchio, Luigi Glielmo, Gianfranco Fenu, Felice Andrea Pellegrino
2019 — conf
Condition Based Maintenance for Industrial Labeling Machine.
ICSRS
Antonio Acernese, Carmen Del Vecchio, Massimo Tipaldi, Luigi Glielmo