A Combined Support Vector Machine and Support Vector Representation Machine Method for Production Control. - Antonio Acernese; Carmen Del Vecchio; Luigi Glielmo; Gianfranco Fenu; Felice Andrea Pellegrino (ECC, 2019)

Condition Based Maintenance for Industrial Labeling Machine. - Antonio Acernese; Carmen Del Vecchio; Massimo Tipaldi; Luigi Glielmo (ICSRS, 2019)

Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks. - Antonio Acernese; Amol Yerudkar; Luigi Glielmo; Carmen Del Vecchio (IEEE Access, 2020)

A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines. - Kisan Sarda; Antonio Acernese; Luigi Russo 002; Mirko Mazzoleni (IECON, 2021)

Robust Statistics-based Anomaly Detection in a Steel Industry. - Antonio Acernese; Kisan Sarda; Vittorio Nolè; Leonardo Manfredi; Luca Greco 004; Luigi Glielmo; Carmen Del Vecchio (MED, 2021)

Fault Detection and Diagnosis in Steel Industry: a One Class-Support Vector Machine Approach. - Luigi Russo 002; Kisan Sarda; Luigi Glielmo; Antonio Acernese (SMC, 2021)

A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry. - Kisan Sarda; Antonio Acernese; Vittorio Nolè; Leonardo Manfredi; Luca Greco 004; Luigi Glielmo; Carmen Del Vecchio (IEEE Access, 2021)

Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks. - Antonio Acernese; Amol Yerudkar; Luigi Glielmo; Carmen Del Vecchio (IEEE Control. Syst. Lett., 2021)

Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks. - Antonio Acernese; Amol Yerudkar; Luigi Glielmo; Carmen Del Vecchio (IEEE Control. Syst. Lett., 2021)

A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems. - Antonio Acernese; Amol Yerudkar; Carmen Del Vecchio (ACC, 2022)

A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes. - Mirko Mazzoleni; Kisan Sarda; Antonio Acernese; Luigi Russo 002; Leonardo Manfredi; Luigi Glielmo; Carmen Del Vecchio (Eng. Appl. Artif. Intell., 2022)

Informed Hybrid A Star-based Path Planning Algorithm in Unstructured Environments. - Antonio Acernese; Giulio Borrello; Luca Lorusso; Michele Basso (ECC, 2024)

Trajectory Planning Based on Model Predictive Control with Dynamic Obstacle Avoidance in Unstructured Environments. - Giulio Borrello; Luca Lorusso; Michele Basso; Antonio Acernese (ECC, 2024)

DR-PETS: Learning-Based Control With Planning in Adversarial Environments. - Hozefa Jesawada; Antonio Acernese; Davide Del Vecchio; Giovanni Russo 002; Carmen Del Vecchio (IEEE Control. Syst. Lett., 2025)

DR-PETS: Learning-Based Control With Planning in Adversarial Environments. - Hozefa Jesawada; Antonio Acernese; Giovanni Russo 002; Carmen Del Vecchio (CoRR, 2025)