Polonelli, Tommaso
ETH Zurich
7 papers on CoChatORCID 0000-0003-0405-3612
Most cited papers
- Verified
Structural Health Monitoring System With Narrowband IoT and MEMS Sensors
Di Nuzzo, F., Brunelli, D., Polonelli, T., & Benini, L. (2021) · IEEE Sensors Journal
Structural Health Monitoring TechniquesArduino and IoT Applications
Cited by 124
- Verified
NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications
Ballerini, M., Polonelli, T., Brunelli, D., Magno, M., & Benini, L. (2020) · IEEE Transactions on Industrial Informatics
IoT Networks and ProtocolsEnergy Efficient Wireless Sensor Networks
Cited by 89
- Verified
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines
Polonelli, T., Müller, H., Kong, W., Fischer, R., Benini, L., & Magno, M. (2022) · arXiv
Bluetooth and Wireless Communication TechnologiesEnergy Efficient Wireless Sensor Networks
Cited by 36
- Verified
Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines
Polonelli, T., Muller, H., Kong, W., Fischer, R., Benini, L., & Magno, M. (2023) · IEEE Sensors Journal
Bluetooth and Wireless Communication TechnologiesEnergy Efficient Wireless Sensor Networks
Cited by 35
- Verified
WindNode: A Long-Lasting And Long-Range Bluetooth Wireless Sensor Node for Pressure and Acoustic Monitoring on Wind Turbines
Fischer, R., Mueller, H., Polonelli, T., Benini, L., & Magno, M. (2021) · 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)
Bluetooth and Wireless Communication TechnologiesEnergy Efficient Wireless Sensor Networks
Cited by 21
- Verified
An experimental system to acquire aeroacoustic properties on wind turbine blades
Deparday, J., Müller, H., Polonelli, T., & Barber, S. (2022) · Journal of Physics: Conference Series
Wind Energy Research and DevelopmentAerodynamics and Acoustics in Jet Flows
Cited by 8
- Verified
Towards lightweight deep neural network for smart agriculture on embedded systems
Du, P., Polonelli, T., Magno, M., & Cheng, Z. (2022) · 2022 IEEE Sensors Applications Symposium (SAS)
Smart Agriculture and AIAdvanced Neural Network Applications
Cited by 5
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