Scherer, M.; Mayer, P.; Di Mauro, A.; Magno, M.; Benini, L., Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes, in: Conference Record - IEEE Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc., «CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE», 2021, 2021-, pp. 1 - 6 (atti di: 2021 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021, Technology and Innovation Centre (TIC), gbr, 2021) [Contributo in Atti di convegno]
Vostrikov, S.; Cossettini, A.; Vogt, C.; Leitner, C.; Magno, M.; Benini, L., Towards an Open, Flexible, Wearable Ultrasound Probe for Musculoskeletal Monitoring, in: IEEE International Ultrasonics Symposium, IUS, IEEE Computer Society, «IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM», 2021, pp. 1 - 4 (atti di: 2021 IEEE International Ultrasonics Symposium, IUS 2021, chn, 2011) [Contributo in Atti di convegno]
Ingolfsson T.M.; Cossettini A.; Wang X.; Tabanelli E.; Tagliavini G.; Ryvlin P.; Benini L.; Benatti S., Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices, in: 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), Institute of Electrical and Electronics Engineers Inc., «BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE», 2021, pp. 01 - 04 (atti di: 2021 IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, Berlin, Germany, 07-09 October 2021) [Contributo in Atti di convegno]Open Access
Leitner C.; Benatti S.; Keller K.; Cossettini A.; Kartsch V.; Penasso H.; Benini L.; Greco F.; Baumgartner C., UStEMG: an Ultrasound Transparent Tattoo-based sEMG System for Unobtrusive Parallel Acquisitions of Muscle Electro-mechanics, in: Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), NLM (Medline), «ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY», 2021, 2021, pp. 7077 - 7082 (atti di: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), mexico, 1-5 nov. 2021) [Contributo in Atti di convegno]
Fischer, R.; Mueller, H.; Polonelli, T.; Benini, L.; Magno, M., WindNode: A long-lasting and long-range bluetooth wireless sensor node for pressure and acoustic monitoring on wind turbines, in: Proceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 393 - 399 (atti di: 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021, Victoria, BC, Canada, 2021) [Contributo in Atti di convegno]
Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D., XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING», 2021, 9, pp. 1489 - 1505 [articolo]Open Access
Rossi D.; Conti F.; Eggiman M.; Mach S.; Mauro A.D.; Guermandi M.; Tagliavini G.; Pullini A.; Loi I.; Chen J.; Flamand E.; Benini L., 4.4 A 1.3TOPS/W @ 32GOPS Fully Integrated 10-Core SoC for IoT End-Nodes with 1.7μW Cognitive Wake-Up from MRAM-Based State-Retentive Sleep Mode, in: Digest of Technical Papers - IEEE International Solid-State Circuits Conference, Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc., «DIGEST OF TECHNICAL PAPERS - IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE», 2021, 64, pp. 60 - 62 (atti di: 2021 IEEE International Solid-State Circuits Conference, ISSCC 2021, usa, 2021) [Contributo in Atti di convegno]Open Access
Magno, M.; Vultier, F.; Szebedy, B.; Yamahachi, H.; Hahnloser, R. H. R.; Benini, L., A Bluetooth-Low-Energy Sensor Node for Acoustic Monitoring of Small Birds, «IEEE SENSORS JOURNAL», 2020, 20, Article number: 8832176, pp. 425 - 433 [articolo]
Tabanelli E.; Brunelli D.; Benini L., A Feature Reduction Strategy for Enabling Lightweight Non-Intrusive Load Monitoring on Edge Devices, in: IEEE International Symposium on Industrial Electronics, Institute of Electrical and Electronics Engineers Inc., 2020, 2020-, pp. 805 - 810 (atti di: 29th IEEE International Symposium on Industrial Electronics, ISIE 2020, nld, 2020) [Contributo in Atti di convegno]
Polonelli, Tommaso; Qin, Yuan; Yeatman, Eric M.; Benini, Luca; Boyle, David, A Flexible, Low-Power Platform for UAV-Based Data Collection From Remote Sensors, «IEEE ACCESS», 2020, 8, pp. 164775 - 164785 [articolo]Open Access
Mayer P.; Magno M.; Benini L., A low power and smart power unit for kinetic self-sustainable wearable devices, in: ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 1 - 4 (atti di: 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020, gbr, 2020) [Contributo in Atti di convegno]
Ottavi G.; Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D., A mixed-precision RISC-V processor for extreme-edge DNN inference, in: Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, IEEE Computer Society, «PROCEEDINGS IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI», 2020, 2020-, pp. 512 - 517 (atti di: 19th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020, Cyprus, 2020) [Contributo in Atti di convegno]Open Access
Forsberg B.; Mattheeuws M.; Kurth A.; Marongiu A.; Benini L., A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores, in: Proceedings of the ACM SIGPLAN Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), Association for Computing Machinery, 2020, pp. 108 - 118 (atti di: 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES 2020, gbr, 2020) [Contributo in Atti di convegno]
Zaruba F.; Schuiki F.; Benini L., A 4096-core RISC-V Chiplet Architecture for Ultra-efficient Floating-point Computing, in: 2020 IEEE Hot Chips 32 Symposium, HCS 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 1 - 24 (atti di: 2020 IEEE Hot Chips 32 Symposium, HCS 2020, usa, 2020) [Contributo in Atti di convegno]
Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini, Always-On 674μW@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS», 2020, 67, Article number: 9158513, pp. 3905 - 3918 [articolo]Open Access
