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)

Telemetric QCM-D based sensing system with adaptive excitation frequency. - Tommaso Addabbo; Federico Carli; Ada Fort; Federico Micheletti; Enza Panzardi; Valerio Vignoli (SAS, 2022)

Self-Sufficient Sensor Node Embedding 2D Visible Light Positioning through a Solar Cell Module. - Irene Cappelli; Federico Carli; Ada Fort; Federico Micheletti; Valerio Vignoli; Mara Bruzzi (Sensors, 2022)

Embedded Machine Learning for 3D Indoor Visible Light Positioning via Optimized Fingerprinting. - Irene Cappelli; Federico Carli; Ada Fort; Federico Micheletti; Marco Mugnaini (MetroInd4.0&IoT, 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)

A Smart Low-Cost QCM-D Based on Lightweight Frequency Domain Processing. - Federico Carli; Ada Fort; Federico Micheletti; Marco Mugnaini; Enza Panzardi; Valerio Vignoli (IEEE Trans. Instrum. Meas., 2024)