| Low-power HWAccelerator for AI edge-computing in human activity recognition systems A De Vita, D Pau, C Parrella, L Di Benedetto, A Rubino, GD Licciardo 2020 2nd IEEE international conference on artificial intelligence circuits …, 2020 | 29 | 2020 |
| Low power tiny binary neural network with improved accuracy in human recognition systems A De Vita, D Pau, L Di Benedetto, A Rubino, F Pétrot, GD Licciardo 2020 23rd Euromicro Conference on Digital System Design (DSD), 309-315, 2020 | 29 | 2020 |
| A partially binarized hybrid neural network system for low-power and resource constrained human activity recognition A De Vita, A Russo, D Pau, L Di Benedetto, A Rubino, GD Licciardo IEEE Transactions on Circuits and Systems I: Regular Papers 67 (11), 3893-3904, 2020 | 27 | 2020 |
| Low-power detection and classification for in-sensor predictive maintenance based on vibration monitoring P Vitolo, A De Vita, L Di Benedetto, D Pau, GD Licciardo IEEE Sensors Journal 22 (7), 6942-6951, 2022 | 24 | 2022 |
| A 40-310TOPS/W SRAM-Based All-Digital Up to 4b In-Memory Computing Multi-Tiled NN Accelerator in FD-SOI 18nm for Deep-Learning Edge Applications G Desoli, N Chawla, T Boesch, M Avodhyawasi, H Rawat, H Chawla, ... 2023 IEEE International Solid-State Circuits Conference (ISSCC), 260-262, 2023 | 23 | 2023 |
| Comparing industry frameworks with deeply quantized neural networks on microcontrollers D Pau, M Lattuada, F Loro, A De Vita, GD Licciardo 2021 IEEE International Conference on Consumer Electronics (ICCE), 1-6, 2021 | 14 | 2021 |
| Low-power design of a gravity rotation module for HAR systems based on inertial sensors A De Vita, GD Licciardo, L Di Benedetto, D Pau, E Plebani, A Bosco 2018 IEEE 29th International Conference on Application-specific Systems …, 2018 | 13 | 2018 |
| A bit-line voltage sensing circuit with fused offset compensation and cancellation scheme GD Licciardo, L Di Benedetto, A De Vita, A Rubino, A Femia IEEE Transactions on Circuits and Systems II: Express Briefs 66 (10), 1633-1637, 2019 | 9 | 2019 |
| Highly-accurate binary tiny neural network for low-power human activity recognition A De Vita, D Pau, L Di Benedetto, A Rubino, F Pétrot, GD Licciardo Microprocessors and Microsystems 87, 104371, 2021 | 8 | 2021 |
| Embeddable circuit for orientation independent processing in ultra low-power tri-axial inertial sensors A De Vita, GD Licciardo, A Femia, L Di Benedetto, A Rubino, D Pau IEEE Transactions on Circuits and Systems II: Express Briefs 67 (6), 1124-1128, 2019 | 8 | 2019 |
| Low-Power Integrated Circuit for Orientation Independent Acquisitions from Smart Accelerometers A De Vita, GD Licciardo, A Femia, L Di Benedetto, A Rubino, D Pau Sensors and Microsystems: Proceedings of the 20th AISEM 2019 National …, 2020 | 2 | 2020 |
| µW pre-processing unit for virtual sensors based on tri-axial smart accelerometers A De Vita, GD Licciardo, A Femia, L Di Benedetto, D Pau 2019 17th IEEE International New Circuits and Systems Conference (NEWCAS), 1-4, 2019 | 2 | 2019 |
| Configurable stream switch with virtual channels for the sharing of i/o ports in stream-based architectures DE Antonio, T Boesch, G Desoli US Patent App. 18/304,938, 2024 | | 2024 |
| Iteration engine for the computation of large kernels in convolutional accelerators DE Antonio, T Boesch, G Desoli US Patent App. 17/859,769, 2024 | | 2024 |
| Ultra-low power HW accelerator for the integration of Binary Neural Networks A De Vita Universita degli studi di Salerno, 2021 | | 2021 |
