PARRI, LORENZO

PARRI, LORENZO  

Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche  

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Titolo Data di pubblicazione Autore(i) File Abstract
A Characterization System for Bearing Condition Monitoring Sensors, a Case Study with a Low Power Wireless Triaxial MEMS Based Sensor 1-gen-2020 Addabbo, T.; Fort, A.; Landi, E.; Moretti, R.; Mugnaini, M.; Parri, L.; Vignoli, V. -
A distributed condition monitoring system for the non-invasive temperature measurement of heat fluids circulating in turbomachinery pipes based on self-powered sensing nodes 1-gen-2019 Addabbo, T.; Landi, E.; Moretti, R.; Mugnaini, M.; Parri, L.; Tani, M. -
A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement 1-gen-2023 Parri, L.; Tani, M.; Baldo, D.; Parrino, S.; Landi, E.; Mugnaini, M.; Fort, A. -
A Hazardous Area Personal Monitoring System for Operators in Gas Depots and Storage Tanks 1-gen-2022 Landi, Elia; Parri, Lorenzo; Fort, Ada; Mugnaini, Marco; Vignoli, Valerio; Tamang, Dinesh; Tani, Marco -
A LoRaWAN Carbon Monoxide Measurement System with Low-Power Sensor-Triggering for the Monitoring of Domestic and Industrial Boilers 1-gen-2021 Fort, A.; Landi, E.; Mugnaini, M.; Parri, L.; Pozzebon, A.; Vignoli, V. -
A LoRaWAN network infrastructure for the remote monitoring of offshore sea farms 1-gen-2020 Parri, L.; Parrino, S.; Peruzzi, G.; Pozzebon, A. -
A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification 1-gen-2023 Addabbo, T.; Landi, E.; Moretti, R.; Parri, L.; Peruzzi, G.; Pozzebon, A.; Spinelli, F. -
A low-power IoT architecture for the monitoring of chemical emissions 1-gen-2019 Addabbo, T.; Fort, A.; Mugnaini, M.; Parri, L.; Parrino, S.; Pozzebon, A.; Vignoli, V. -
A measurement system for the evaluation of efficiency of enzyme accelerated CO2 capture systems based on modeling 1-gen-2020 Parri, L.; Fort, A.; Vignoli, V.; Lo Grasso, A.; Mugnaini, M.; Capasso, C.; Prete, S. D.; Novella Romanelli, M.; Supuran, C. -
A Photoacoustic-Based Measurement System for Dual Detection of NO2 and CO2 in Combustion Exhaust Gases 1-gen-2023 Panzardi, Enza; Drese, Klaus Stefan; Mugnaini, Marco; Parri, Lorenzo; Vignoli, Valerio; Fort, Ada -
A wearable Low-cost Measurement System for Estimation of Human Exposure to Vibrations 1-gen-2019 Addabbo, T.; Fort, A.; Landi, E.; Moretti, R.; Mugnaini, M.; Parri, L.; Vignoli, V. -
Accurate Battery-operated IoT sensor for detecting combustible gas leaks in homes 1-gen-2024 Landi, E.; Parri, L.; Baldo, D.; Parrino, S.; Fort, A.; Mugnaini, M. -
An Automatic Battery Recharge and Condition Monitoring System for Autonomous Drones 1-gen-2020 Addabbo, T.; De Muro, S.; Falaschi, G.; Fort, A.; Landi, E.; Moretti, R.; Mugnaini, M.; Nicolelli Fulgenzi, F.; Parri, L.; Tani, M.; Tesei, M.; Vignoli, V. -
An IoT Framework for the Pervasive Monitoring of Chemical Emissions in Industrial Plants 1-gen-2018 Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Parri, Lorenzo; Parrino, Stefano; Pozzebon, Alessandro; Vignoli, Valerio -
An IoT sensor node for health monitoring of artwork and ancient wooden structures 1-gen-2022 Landi, E.; Parri, L.; Moretti, R.; Fort, A.; Mugnaini, M.; Vignoli, V. -
An unconventional type of measurement with chemoresistive gas sensors exploiting a versatile measurement system 1-gen-2017 Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Parri, Lorenzo; Vignoli, Valerio -
Assessment of LoRaWAN Transmission Systems under Temperature and Humidity, Gas and Vibration Ageing Effects within IIoT Contexts 1-gen-2022 Di Renzone, G.; Landi, E.; Mugnaini, M.; Parri, L.; Peruzzi, G.; Pozzebon, A. -
Designing a Reliable and Low-Latency LoRaWAN Solution for Environmental Monitoring in Factories at Major Accident Risk 1-gen-2022 Tamang, D.; Pozzebon, A.; Parri, L.; Fort, A.; Abrardo, A. -
Distributed IoT system to enhance worker safety in large open areas 1-gen-2021 Tani, M.; Parri, L.; Fort, A.; Mugnaini, M.; Vignoli, V.; Toccafondi, A.; Moretti, R.; Landi, E. -
Evaluating the efficiency of enzyme accelerated CO2 capture: chemical kinetics modelling for interpreting measurement results 1-gen-2021 Parri, L.; Fort, A.; Lo Grasso, A.; Mugnaini, M.; Vignoli, V.; Capasso, C.; Del Prete, S.; Romanelli, M. N.; Supuran, C. T. -