Elenco Pubblicazioni - Publications (1668)
Simonte, G., Di Rienzo, R., Verani, A., Baronti, F., Roncella, R., & Saletti, R. (2022, December). Rest Time Effect on the Series Resistance of Sodium-Metal Halide Battery. In 2022 IEEE International Conference on Power Electronics, Drives and Energy
Written by GIANLUCA SIMONTE
Sodium-Metal Halide Batteries are an interesting alternative to the Lithium-ion ones in stationary applications. However, their complex chemistry requires an accurate battery model to fully exploit the battery capabilities. The electric-equivalent models seem the best…
Simonte, G., Di Rienzo, R., Baronti, F., Roncella, R., & Saletti, R. (2022, Septem- ber). Improvement of Sodium-Metal Halide Battery Electrical Equivalent Model Including Temperature Dependency. In International Conference on Applica- tions in Electr
Written by GIANLUCA SIMONTE
Sodium-Metal Halide Batteries are a very promising alternative to the Lithium-ion ones for stationary applications, but their chemical complexity requires an accurate battery model to optimize their use. The electrical equivalent model of the battery…
Simonte, G., Di Rienzo, R., Biagioni, I., Baronti, F., Roncella, R., & Saletti, R. (2021, September). Novel setup to extend the temperature characterization range of a sodium-metal halide battery. In International Conference on Applications in Electr
Written by GIANLUCA SIMONTE
Sodium-Metal Halide Batteries might be a good candidate to compete with Lithium-ion batteries for stationary applications. However, their characteristics cannot be fully exploited by the Battery Management System if an accurate battery model to be…
Simonte, G., Di Rienzo, R., Verani, A., Nicodemo, N., Baronti, F., Roncella, R., & Saletti, R. (2023). Reliability Estimation of Commercial Na-NiCl2 batteries using Theoretical and Simulative approaches. IEEE Access.
Written by GIANLUCA SIMONTE
Sodium-Metal Halide Batteries are a promising and cheap alternative to lithium-ion ones for stationary applications such as smart grids. However, the reliability of their elementary cell is low, and a battery composed of hundreds of…
Pachetti, E.; Colantonio, S. 3D-Vision-Transformer Stacking Ensemble for Assessing Prostate Cancer Aggressiveness from T2w Images. Bioengineering 2023, 10, 1015.
Written by EVA PACHETTI
Vision transformers represent the cutting-edge topic in computer vision and are usually employed on two-dimensional data following a transfer learning approach. In this work, we propose a trained-from-scratch stacking ensemble of 3D-vision transformers to assess…
News
- NUOVE DATE CORSO - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 17-20 November 2025
- MODIFICA DATE CORSO - Prof. Martina Brofiga, University of Genova - Italy, "Innovations in In vitro Neuronal Engineering: bridging biology and technology", 22-30 September 2025
- Prof. Matteo Palma, Queen Mary University of London – U.K, “Nano(bio)technology strategies for smart materials, devices, and systems", 8-19 September 2025
- Prof. Jens C. Schwamborn, University of Luxembourg - Luxembourg Centre for Systems Biomedicine, "Current advances in brain organoid science", 22-26 September 2025
- MODIFICA AULA - Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
