Embedded systems for time-critical applications over Wi-Fi: design and experimental assessment. - Francesco Branz; Riccardo Antonello; Federico Tramarin; Tommaso Fedullo; Stefano Vitturi; Luca Schenato 001 (INDIN, 2019)

A Profinet Simulator for the Digital Twin of Networked Electrical Drive Systems. - Alberto Morato; Stefano Vitturi; Tommaso Fedullo; Giovanni Peserico; Federico Tramarin (ETFA, 2020)

Rate Adaptation by Reinforcement Learning for Wi-Fi Industrial Networks. - Giovanni Peserico; Tommaso Fedullo; Alberto Morato; Stefano Vitturi; Federico Tramarin (ETFA, 2020)

The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems. - Tommaso Fedullo; Federico Tramarin; Stefano Vitturi (Sensors, 2020)

Wi-Fi based Functional Safety: an Assessment of the Fail Safe over EtherCAT (FSoE) protocol. - Giovanni Peserico; Tommaso Fedullo; Alberto Morato; Federico Tramarin; Stefano Vitturi (ETFA, 2021)

A Machine Learning Approach for a Vision-Based Van-Herick Measurement System. - Tommaso Fedullo; Davide Cassanelli; Giovanni Gibertoni; Federico Tramarin; Luciano Quaranta; Giovanni de Angelis; Luigi Rovati (I2MTC, 2021)

SNR-based Reinforcement Learning Rate Adaptation for Time Critical Wi-Fi Networks: Assessment through a Calibrated Simulator. - Giovanni Peserico; Tommaso Fedullo; Alberto Morato; Federico Tramarin; Luigi Rovati; Stefano Vitturi (I2MTC, 2021)

Tuning of a simulation model for the assessment of Functional Safety over Wi-Fi. - Alberto Morato; Giovanni Peserico; Tommaso Fedullo; Federico Tramarin; Stefano Vitturi (INDIN, 2021)

Adaptive LoRaWAN Transmission exploiting Reinforcement Learning: the Industrial Case. - Tommaso Fedullo; Alberto Morato; Federico Tramarin; Paolo Bellagente; Paolo Ferrari; Emiliano Sisinni (MetroInd4.0&IoT, 2021)

On the Use of an Hyperspectral Imaging Vision Based Measurement System and Machine Learning for Iris Pigmentation Grading. - Tommaso Fedullo; Ettore Masetti; Giovanni Gibertoni; Federico Tramarin; Luigi Rovati (I2MTC, 2022)

Artificial Intelligence - Based Measurement Systems for Automotive: a Comprehensive Review. - Tommaso Fedullo; Alberto Morato; Federico Tramarin; Stefano Cattini; Luigi Rovati (MetroAutomotive, 2022)

On the Use of Artificial Intelligence and Sensor Fusion to Develop Accurate Eye Tracking and Driver's Emotional State Estimation Systems. - Tommaso Fedullo; Valentina Di Pinto; Alberto Morato; Federico Tramarin; Stefano Cattini; Luigi Rovati (MetroAutomotive, 2022)

Smart Measurement Systems Exploiting Adaptive LoRaWAN Under Power Consumption Constraints: a RL Approach. - Tommaso Fedullo; Alberto Morato; Federico Tramarin; Paolo Ferrari; Emiliano Sisinni (MetroInd4.0& IoT, 2022)

Ultra-Wideband for Distance Measurement and Positioning in Functional Safety Applications. - Giovanni Peserico; Tommaso Fedullo; Alberto Morato; Federico Tramarin; Stefano Vitturi (MetroInd4.0& IoT, 2022)

An IoT Measurement System Based on LoRaWAN for Additive Manufacturing. - Tommaso Fedullo; Alberto Morato; Giovanni Peserico; Luca Trevisan 002; Federico Tramarin; Stefano Vitturi; Luigi Rovati (Sensors, 2022)

A Comprehensive Review on Time Sensitive Networks with a Special Focus on Its Applicability to Industrial Smart and Distributed Measurement Systems. - Tommaso Fedullo; Alberto Morato; Federico Tramarin; Luigi Rovati; Stefano Vitturi (Sensors, 2022)

Assessment of a Vision-Based Technique for an Automatic Van Herick Measurement System. - Tommaso Fedullo; Davide Cassanelli; Giovanni Gibertoni; Federico Tramarin; Luciano Quaranta; Ivano Riva; Lucia Tanga; Francesco Oddone; Luigi Rovati (IEEE Trans. Instrum. Meas., 2022)

Exploiting Hybrid Medium Access Control and Relaying Strategies to Overcome Duty-Cycle Limitations in LoRa-Based Sensor Networks. - Tommaso Fedullo; Aamir Mahmood; Federico Tramarin; Alberto Morato; Mikael Gidlund; Luigi Rovati (I2MTC, 2023)

IEC 61850 on 5G Communication Infrastructure: Feasibility Analysis and Practical Considerations. - Guglielmo Frigo; Alberto Morato; Tommaso Fedullo; Federico Tramarin (I2MTC, 2023)