| A low power IoT sensor node architecture for waste management within smart cities context M Cerchecci, F Luti, A Mecocci, S Parrino, G Peruzzi, A Pozzebon Sensors 18 (4), 1282, 2018 | 177 | 2018 |
| A review of energy harvesting techniques for Low Power Wide Area Networks (LPWANs) G Peruzzi, A Pozzebon Energies 13 (13), 3433, 2020 | 60 | 2020 |
| Low power wide area networks (LPWAN) at sea: Performance analysis of offshore data transmission by means of LoRaWAN connectivity for marine monitoring applications L Parri, S Parrino, G Peruzzi, A Pozzebon Sensors 19 (14), 3239, 2019 | 57 | 2019 |
| LoRaWAN versus NB-IoT: Transmission performance analysis within critical environments A Lombardo, S Parrino, G Peruzzi, A Pozzebon IEEE Internet of Things Journal 9 (2), 1068-1081, 2021 | 49 | 2021 |
| A multi-layer lorawan infrastructure for smart waste management D Baldo, A Mecocci, S Parrino, G Peruzzi, A Pozzebon Sensors 21 (8), 2600, 2021 | 46 | 2021 |
| Fight fire with fire: Detecting forest fires with embedded machine learning models dealing with audio and images on low power IoT devices G Peruzzi, A Pozzebon, M Van Der Meer Sensors 23 (2), 783, 2023 | 45 | 2023 |
| LoRaWAN underground to aboveground data transmission performances for different soil compositions G Di Renzone, S Parrino, G Peruzzi, A Pozzebon, D Bertoni IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 38 | 2021 |
| Offshore lorawan networking: Transmission performances analysis under different environmental conditions L Parri, S Parrino, G Peruzzi, A Pozzebon IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 38 | 2020 |
| A LoRaWAN network infrastructure for the remote monitoring of offshore sea farms L Parri, S Parrino, G Peruzzi, A Pozzebon 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 33 | 2020 |
| Estimating volumetric water content in soil for IoUT contexts by exploiting RSSI-based augmented sensors via machine learning M Bertocco, S Parrino, G Peruzzi, A Pozzebon Sensors 23 (4), 2033, 2023 | 20 | 2023 |
| Combining lorawan and nb-iot for edge-to-cloud low power connectivity leveraging on fog computing G Peruzzi, A Pozzebon Applied Sciences 12 (3), 1497, 2022 | 20 | 2022 |
| Lopatran: Low power asset tracking by means of narrow band iot (nb-iot) technology S Parrino, G Peruzzi, A Pozzebon Sensors 21 (11), 3772, 2021 | 19 | 2021 |
| Interoperability among sub-GHz technologies for metallic assets tracking and monitoring G Di Renzone, A Fort, M Mugnaini, S Parrino, G Peruzzi, A Pozzebon 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 131-136, 2020 | 17 | 2020 |
| Iot multi-hop facilities via lora modulation and lora wanprotocol within thin linear networks F Basili, S Parrino, G Peruzzi, A Pozzebon 2021 IEEE Sensors Applications Symposium (SAS), 1-6, 2021 | 16 | 2021 |
| Enhanced visible light localization based on machine learning and optimized fingerprinting in wireless sensor networks I Cappelli, F Carli, A Fort, M Intravaia, F Micheletti, G Peruzzi, V Vignoli IEEE Transactions on Instrumentation and Measurement 72, 1-10, 2023 | 15 | 2023 |
| LoRaWAN in motion: Preliminary tests for real time low power data gathering from vehicles G Di Renzone, S Parrino, G Peruzzi, A Pozzebon 2021 IEEE International Workshop on Metrology for Automotive …, 2021 | 15 | 2021 |
| LoRaWAN performances for underground to aboveground data transmission M Gineprini, S Parrino, G Peruzzi, A Pozzebon 2020 IEEE international instrumentation and measurement technology …, 2020 | 15 | 2020 |
| Architecture of a hydroelectrically powered wireless sensor node for underground environmental monitoring A Mecocci, G Peruzzi, A Pozzebon, P Vaccarella IET Wireless Sensor Systems 7 (5), 123-129, 2017 | 15 | 2017 |
| A novel methodology to remotely and early diagnose sleep bruxism by leveraging on audio signals and embedded machine learning G Peruzzi, A Galli, A Pozzebon 2022 IEEE International Symposium on Measurements & Networking (M&N), 1-6, 2022 | 14 | 2022 |
| Roller bearing failures classification with low computational cost embedded machine learning M Bertocco, A Fort, E Landi, M Mugnaini, L Parri, G Peruzzi, A Pozzebon 2022 IEEE International Workshop on Metrology for Automotive …, 2022 | 14 | 2022 |
Alessandro PozzebonUniversità di PadovaEmail verificata su unipd.it