DE VITA, ANTONIO
DE VITA, ANTONIO
Dipartimento di Ingegneria Industriale/DIIN
A Bit-Line Voltage Sensing Circuit With Fused Offset Compensation and Cancellation Scheme
2019-01-01 Licciardo, Gian Domenico; Di Benedetto, Luigi; De Vita, Antonio; Rubino, Alfredo; Femia, Aldo
A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition
2020-01-01 De Vita, A.; Russo, A.; Pau, D.; Di Benedetto, L.; Rubino, A.; Licciardo, G. D.
Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers
2021-01-01 Pau, Danilo; Lattuada, Marco; Loro, Francesco; DE VITA, Antonio; Licciardo, Gian Domenico
Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-axial Inertial Sensors
2020-01-01 De Vita, Antonio; Licciardo, Gian Domenico; Femia, Aldo; Di Benedetto, Luigi; Rubino, Alfredo; Pau, Danilo
Highly-accurate binary tiny neural network for low-power human activity recognition
2021-01-01 De Vita, A.; Pau, D.; Di Benedetto, L.; Rubino, A.; Petrot, F.; Licciardo, G. D.
Low Power Tiny Binary Neural Network with improved accuracy in Human Recognition Systems
2020-01-01 De Vita, A.; Pau, D.; Di Benedetto, L.; Rubino, A.; Petrot, F.; Licciardo, G. D.
Low-power Design of a Gravity Rotation Module for HAR Systems Based on Inertial Sensors
2018-01-01 DE VITA, Antonio; Licciardo, Gian Domenico; DI BENEDETTO, Luigi; Pau, Danilo; Plebani, Emanuele; Bosco, Angelo
Low-Power HWAccelerator for AI Edge-Computing in Human Activity Recognition Systems
2020-01-01 De Vita, A.; Pau, D.; Parrella, C.; Di Benedetto, L.; Rubino, A.; Licciardo, G. D.
Low-Power Integrated Circuit for Orientation Independent Acquisitions from Smart Accelerometers
2020-01-01 De Vita, A.; Licciardo, G. D.; Femia, A.; Di Benedetto, L.; Rubino, A.; Pau, D.
μw Pre-processing Unit for Virtual Sensors Based on Tri-axial Smart Accelerometers
2019-01-01 De Vita, A.; Licciardo, G.; Femia, A.; Di Benedetto, L.; Pau, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Bit-Line Voltage Sensing Circuit With Fused Offset Compensation and Cancellation Scheme | 1-gen-2019 | Licciardo, Gian Domenico; Di Benedetto, Luigi; De Vita, Antonio; Rubino, Alfredo; Femia, Aldo | |
| A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition | 1-gen-2020 | De Vita, A.; Russo, A.; Pau, D.; Di Benedetto, L.; Rubino, A.; Licciardo, G. D. | |
| Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers | 1-gen-2021 | Pau, Danilo; Lattuada, Marco; Loro, Francesco; DE VITA, Antonio; Licciardo, Gian Domenico | |
| Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-axial Inertial Sensors | 1-gen-2020 | De Vita, Antonio; Licciardo, Gian Domenico; Femia, Aldo; Di Benedetto, Luigi; Rubino, Alfredo; Pau, Danilo | |
| Highly-accurate binary tiny neural network for low-power human activity recognition | 1-gen-2021 | De Vita, A.; Pau, D.; Di Benedetto, L.; Rubino, A.; Petrot, F.; Licciardo, G. D. | |
| Low Power Tiny Binary Neural Network with improved accuracy in Human Recognition Systems | 1-gen-2020 | De Vita, A.; Pau, D.; Di Benedetto, L.; Rubino, A.; Petrot, F.; Licciardo, G. D. | |
| Low-power Design of a Gravity Rotation Module for HAR Systems Based on Inertial Sensors | 1-gen-2018 | DE VITA, Antonio; Licciardo, Gian Domenico; DI BENEDETTO, Luigi; Pau, Danilo; Plebani, Emanuele; Bosco, Angelo | |
| Low-Power HWAccelerator for AI Edge-Computing in Human Activity Recognition Systems | 1-gen-2020 | De Vita, A.; Pau, D.; Parrella, C.; Di Benedetto, L.; Rubino, A.; Licciardo, G. D. | |
| Low-Power Integrated Circuit for Orientation Independent Acquisitions from Smart Accelerometers | 1-gen-2020 | De Vita, A.; Licciardo, G. D.; Femia, A.; Di Benedetto, L.; Rubino, A.; Pau, D. | |
| μw Pre-processing Unit for Virtual Sensors Based on Tri-axial Smart Accelerometers | 1-gen-2019 | De Vita, A.; Licciardo, G.; Femia, A.; Di Benedetto, L.; Pau, D. |