Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pollo, Giovanni"'
Autor:
Burrello, Alessio, Carlucci, Francesco, Pollo, Giovanni, Wang, Xiaying, Poncino, Massimo, Macii, Enrico, Benini, Luca, Pagliari, Daniele Jahier
PPG-based Blood Pressure (BP) estimation is a challenging biosignal processing task for low-power devices such as wearables. State-of-the-art Deep Neural Networks (DNNs) trained for this task implement either a PPG-to-BP signal-to-signal reconstructi
Externí odkaz:
http://arxiv.org/abs/2409.07485
Autor:
Hamdi, Mohamed Amine, Pollo, Giovanni, Risso, Matteo, Haugou, Germain, Burrello, Alessio, Macii, Enrico, Poncino, Massimo, Vinco, Sara, Pagliari, Daniele Jahier
RISC-V cores have gained a lot of popularity over the last few years. However, being quite a recent and novel technology, there is still a gap in the availability of comprehensive simulation frameworks for RISC-V that cover both the functional and ex
Externí odkaz:
http://arxiv.org/abs/2404.01861
Autor:
Alamin, Khaled Sidahmed Sidahmed, Daghero, Francesco, Pollo, Giovanni, Pagliari, Daniele Jahier, Chen, Yukai, Macii, Enrico, Poncino, Massimo, Vinco, Sara
Estimating the State of Health (SOH) of batteries is crucial for ensuring the reliable operation of battery systems. Since there is no practical way to instantaneously measure it at run time, a model is required for its estimation. Recently, several
Externí odkaz:
http://arxiv.org/abs/2401.05474