Foto del docente

Marcello Zanghieri

Dottorando

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Assegnista di ricerca

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Tutor didattico

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Settore scientifico disciplinare: ING-INF/01 ELETTRONICA

Pubblicazioni

Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L., A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contributo in Atti di convegno]

Conti F., Indirli F., Latella A., Puglia G. M., Tecce F., Urlini G., Zanghieri M., AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery, in: Artificial Intelligence for Digitising Industry, Gistrup, River Publishers, 2021, pp. 187 - 204 [capitolo di libro]

Zanghieri M.; Burrello A.; Benatti S.; Schindler K.; Benini L., Low-latency detection of epileptic seizures from IEEG with temporal convolutional networks on a low-power parallel MCU, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contributo in Atti di convegno]

Zanghieri M.; Menichetti G.; Retico A.; Calderoni S.; Castellani G.; Remondini D., Node centrality measures identify relevant structural MRI features of subjects with autism, «BRAIN SCIENCES», 2021, 11, Article number: 498, pp. 1 - 15 [articolo]Open Access

Seyedkazemi Ardebili M.; Zanghieri M.; Burrello A.; Beneventi F.; Acquaviva A.; Benini L.; Bartolini A., Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks, in: Proceedings -Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION», 2021, 2021-, pp. 1256 - 1259 (atti di: 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021, Europe - Virtual, 2021) [Contributo in Atti di convegno]

Zanghieri M.; Benatti S.; Burrello A.; Kartsch Morinigo V.J.; Meattini R.; Palli G.; Melchiorri C.; Benini L., SEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contributo in Atti di convegno]

Burrello A.; Zanghieri M.; Sarti C.; Ravaglia L.; Benatti S.; Benini L., Tackling time-variability in semg-based gesture recognition with on-device incremental learning and temporal convolutional networks, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contributo in Atti di convegno]

Burrello A.; Dequino A.; Pagliari D.J.; Conti F.; Zanghieri M.; MacIi E.; Benini L.; Poncino M., TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference, in: Proceedings of the International Symposium on Low Power Electronics and Design, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 1 - 6 (atti di: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, usa, 2021) [Contributo in Atti di convegno]

Zanghieri, Marcello; Benatti, Simone; Burrello, Alessio; Kartsch, Victor; Conti, Francesco; Benini, Luca, Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor, «IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS», 2020, 14, pp. 244 - 256 [articolo]Open Access

Zanghieri M.; Benatti S.; Conti F.; Burrello A.; Benini L., Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks, in: Proceedings - 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 228 - 232 (atti di: 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, ita, 2020) [Contributo in Atti di convegno]

Ultimi avvisi

Al momento non sono presenti avvisi.