Items where City Author is "Rente, Bruno"
Article
Li, Y., Li, K., Liu, X. (2022). A hybrid machine learning framework for joint SOC and SOH estimation of lithium-ion batteries assisted with fiber sensor measurements. Applied Energy, 325, article number 119787. doi: 10.1016/j.apenergy.2022.119787
Rente, B., Fabian, M., Vidakovic, M. (2021). Extended study of fiber optic-based humidity sensing system performance for sewer network condition monitoring. IEEE Sensors Journal, 21(6), pp. 7665-7671. doi: 10.1109/jsen.2021.3050341
Rente, B., Fabian, M., Vidakovic, M. (2021). A Fiber Bragg Grating (FBG)-Based Sensor System for Anaerobic Biodigester Humidity Monitoring. IEEE Sensors Journal, 21(2), pp. 1540-1547. doi: 10.1109/jsen.2020.3017108
Rente, B., Fabian, M., Vidakovic, M. (2021). Lithium-Ion Battery State-of-Charge Estimator Based on FBG-Based Strain Sensor and Employing Machine Learning. IEEE Sensors Journal, 21(2), pp. 1453-1460. doi: 10.1109/jsen.2020.3016080
Rente, B., Fabian, M., Chen, Y. (2020). In-sewer field-evaluation of an optical fibre-based condition monitoring system. IEEE Sensors Journal, 20(6), pp. 2976-2981. doi: 10.1109/jsen.2019.2956826
Bellini, R., Borges, C. V. S., Rente, B. (2018). Optimized Multimode Interference Fiber Based Refractometer in A Reflective Interrogation Scheme. Proceedings, 13, article number 1107. doi: 10.3390/proceedings2131107
Vette, T., Burns, G., Bellini, R. (2018). Enhancing the Sensitivity of SMS Fiber Sensors by the Use of High Refractive Index Coatings. Proceedings, 13, article number 1106. doi: 10.3390/proceedings2131106
