Magno, Michele

FANN-on-MCU: An open-source toolkit for energy-efficient neural network inference at the edge of the Internet of Things

Wang, X., Magno, M., Cavigelli, L., & Benini, L. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingParallel Computing and Optimization Techniques

Cited by 162

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

Design and Performance Evaluation of an Ultralow-Power Smart IoT Device with Embedded TinyML for Asset Activity Monitoring

Giordano, M., Baumann, N., Crabolu, M., Fischer, R., Bellusci, G., & Magno, M. (2022) · IEEE Transactions on Instrumentation and Measurement

IoT and Edge/Fog ComputingBluetooth and Wireless Communication Technologies

Cited by 72

A Battery-Free Long-Range Wireless Smart Camera for Face Detection

Giordano, M., Mayer, P., & Magno, M. (2020) · Proceedings of the 8th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems

Innovative Energy Harvesting TechnologiesEnergy Harvesting in Wireless Networks

Cited by 38

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

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

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Huang, W., Liu, Y., Qin, H., Li, Y., Zhang, S., Liu, X., Magno, M., & Qi, X. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 33

Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing

Becker, J., Imholz, N., Schwarzenbach, L., Ghignone, E., Baumann, N., & Magno, M. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)

Vehicle Dynamics and Control SystemsControl and Dynamics of Mobile Robots

Cited by 31

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

A survey of low-bit large language models: Basics, systems, and algorithms

Gong, R., Ding, Y., Wang, Z., Lv, C., Zheng, X., Du, J., Yong, Y., Gu, S., Qin, H., Guo, J., et al. (2025) · Neural Networks

Advanced Neural Network ApplicationsTopic Modeling

Cited by 16

TC-driver: A trajectory conditioned reinforcement learning approach to zero-shot autonomous racing

Ghignone, E., Baumann, N., & Magno, M. (2024) · IEEE Transactions on Field Robotics

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 10

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

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms

Gong, R., Ding, Y., Wang, Z., Lv, C., Zheng, X., Du, J., Qin, H., Guo, J., Magno, M., & Liu, X. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 4

RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms

Ghignone, E., Baumann, N., Hu, C., Wang, J., Xie, L., Carron, A., & Magno, M. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 1