Michele Calabretta

According to our database, Michele Calabretta authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep Learning for Risk Assessment in Automotive Applications.

Francesco Rundo, Michele Calabretta, Alessandro Sitta, Michael Sebastian Rundo, Sebastiano Battiato, Angelo Alberto Messina

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2024

Intelligent Electrical Assessment of Silicon and Silicon Carbide Wafers for Power Applications in Automotive Field.

Francesco Rundo, Michele Calabretta, Michael Sebastian Rundo, Giulia Castagnolo, Carmelo Pino, Sebastiano Battiato, Angelo Alberto Messina

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2024

2023

Intelligent Traction Inverter in Next Generation Electric Vehicles: The Health Monitoring of Silicon-Carbide Power Modules.

Carmelo Pino, Alessandro Sitta, Giulia Castagnolo, Angelo Alberto Messina, Salvatore Coffa, Michele Calabretta, Fabio Scotti, Angelo Genovese, Vincenzo Piuri, Concetto Spampinato, Francesco Rundo

IEEE Trans. Intell. Veh., December, 2023

Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices.

Massimo Orazio Spata, Sebastiano Battiato, Alessandro Ortis, Francesco Rundo, Michele Calabretta, Carmelo Pino, Angelo Alberto Messina

CoRR, 2023

2022

Identification of Interface States responsible for VTH Hysteresis in packaged SiC MOSFETs.

Marcello Cioni, Patrick Fiorenza, Fabrizio Roccaforte, Mario Saggio, Salvatore Cascino, Angelo Alberto Messina, Vincenzo Vinciguerra, Michele Calabretta, Alessandro Chini

Proceedings of the IEEE International Reliability Physics Symposium, 2022

Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System.

Francesco Rundo, Angelo Alberto Messina, Michele Calabretta, Matteo Dilonardo, Salvatore Coffa, Concetto Spampinato

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Silicon Carbide Multi-Chip Power Module for Traction Inverter Applications: Thermal Characterization and Modeling.

Michele Calabretta, Alessandro Sitta, Salvatore Massimo Oliveri, Gaetano Sequenzia

IEEE Access, 2021

Power Semiconductor Devices and Packages: Solder Mechanical Characterization and Lifetime Prediction.

Michele Calabretta, Alessandro Sitta, Salvatore Massimo Oliveri, Gaetano Sequenzia

IEEE Access, 2021

2019

Fast transient thermomechanical stress to set a pressure-assisted sintering process.

Marco Santopá, Sebastiano Russo, Marco Torrisi, Marco Renna, Alessandro Sitta, Michele Calabretta

Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019

Power Packages Interconnections for High Reliability Automotive Applications.

Michele Calabretta, Marco Renna, Vincenzo Vinciguerra, Angelo Alberto Messina

Proceedings of the 49th European Solid-State Device Research Conference, 2019

2018

Numerical approach to predict power device reliability.

Alessandro Sitta, Sebastiano Russo, Gaetano Bazzano, Daniela Cavallaro, Giuseppe Greco, Michele Calabretta

Proceedings of the 13th International Conference on Design & Technology of Integrated Systems In Nanoscale Era, 2018