Low-cost, robust gravimetric system for enhanced security of accesses to public places. - Tommaso Addabbo; Ada Fort; Marco Mugnaini; Valerio Vignoli; Matteo Intravaia; Marco Tani; Stefano De Muro; Marco Tesei (MetroInd4.0&IoT, 2020)

Working Principle and Performance of a Scalable Gravimetric System for the Monitoring of Access to Public Places. - Tommaso Addabbo; Ada Fort; Matteo Intravaia; Marco Mugnaini; Marco Tani; Valerio Vignoli; Stefano De Muro; Marco Tesei (Sensors, 2020)

Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places. - Tommaso Addabbo; Ada Fort; Marco Mugnaini; Valerio Vignoli; Matteo Intravaia; Marco Tani; Monica Bianchini; Franco Scarselli; Barbara Toniella Corradini (I2MTC, 2021)

A Machine Learning Model for Microcontrollers Enabling Low Power Indoor Positioning Systems via Visible Light Communication. - Irene Cappelli; Federico Carli; Matteo Intravaia; Federico Micheletti; Giacomo Peruzzi (M&N, 2022)

Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier. - Tommaso Addabbo; Ada Fort; Marco Mugnaini; Valerio Vignoli; Matteo Intravaia; Marco Tani; Monica Bianchini; Franco Scarselli; Barbara Toniella Corradini (IEEE Trans. Instrum. Meas., 2022)

Autoencoders for Hourly Load Profile Reconstruction in Renewable Energy Communities. - Matteo Intravaia; Lorenzo Becchi; Marco Bindi; Libero Paolucci; Francesco Grasso (EUROCON, 2023)

A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. - Elia Landi; Filippo Spinelli; Matteo Intravaia; Marco Mugnaini; Ada Fort; Monica Bianchini; Barbara Toniella Corradini; Franco Scarselli; Marco Tanfoni (I2MTC, 2023)

Prognostic Analysis of Switching Devices in DC-DC Converters. - Matteo Intravaia; Marco Bindi; Lorenzo Becchi; Antonio Luchetta; Gabriele Maria Lozito; Libero Paolucci; Francesco Grasso; Carlos Iturrino Garcia (MetroXRAINE, 2023)

Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence. - Matteo Intravaia; Marco Bindi; Nicola Lucchesi; Gianluca Losi; Carlos Iturrino Garcia; Libero Paolucci; Francesco Grasso; Simone Gabbrielli (MetroXRAINE, 2023)

Enhanced Visible Light Localization Based on Machine Learning and Optimized Fingerprinting in Wireless Sensor Networks. - Irene Cappelli; Federico Carli; Ada Fort; Matteo Intravaia; Federico Micheletti; Giacomo Peruzzi; Valerio Vignoli (IEEE Trans. Instrum. Meas., 2023)

Sensitivity analysis of PV produced power in presence of measurement uncertainty. - Matteo Intravaia; Lorenzo Becchi; Marco Bindi; Luigi Costanzo; Cristian C. Garzon-Alfonso; Vipinkumar Shriram Meshram; Alberto Reatti; Massimo Vitelli (MetroInd4.0 & IoT, 2024)

An Unsupervised Learning Method for Noise Detection in Photoacoustic Gas Measurements. - Ada Fort; Matteo Intravaia; Marco Mugnaini; Marco Bindi; Enza Panzardi; Valerio Vignoli (MetroXRAINE, 2024)

A Neural Network Based Control Strategy for Constant Current Battery Chargers with PV Source. - Lorenzo Becchi; Marco Bindi; Cristian Camilo Garzon-Alfonso; Matteo Intravaia; Gabriele Maria Lozito; Francesco Grasso (RTSI, 2024)

Foreign Object Detection for Wireless Power Transfer Systems Using MLMVN. - Marco Bindi; Vipinkumar Shriram Meshram; Antonio Luchetta; Lorenzo Becchi; Matteo Intravaia; Alicia Triviño; Eliseo Villagrasa (RTSI, 2024)

Equivalent Circuit Modelling of Hybrid Supercapacitors Through Experimental Spectroscopic Measurements. - Gabriele Maria Lozito; Matteo Intravaia; Fabio Corti; Gabriele Patrizi; Maurizio Laschi; Lorenzo Ciani; Dario Vangi; Alberto Reatti (IEEE Access, 2024)