Zobrazeno 1 - 10
of 6 185
pro vyhledávání: '"P. Savino"'
Autor:
Carpegna, Alessio, De Luca, Chiara, Pozzi, Federico Emanuele, Savino, Alessandro, Di Carlo, Stefano, Indiveri, Giacomo, Donati, Elisa
Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients, where HR trends can signal stress or agitation. Developing wearable
Externí odkaz:
http://arxiv.org/abs/2409.02618
The characteristics of pressure-induced laminar separation bubbles (LSBs) over a partially-slip wall, compared with that over a canonical no-slip wall, are studied using direct numerical simulation. Three cases, two utilizing linear Robin-type slip b
Externí odkaz:
http://arxiv.org/abs/2408.07008
The characteristics of three-dimensional laminar separation bubbles (LSBs), compared with their quasi-two-dimensional counterparts, are studied using direct numerical simulation. A three-dimensional suction-blowing distribution is applied on the top
Externí odkaz:
http://arxiv.org/abs/2408.06495
Autor:
Rinella, Gianluca Aglieri, Aglietta, Luca, Antonelli, Matias, Barile, Francesco, Benotto, Franco, Beolè, Stefania Maria, Botta, Elena, Bruno, Giuseppe Eugenio, Carnesecchi, Francesca, Colella, Domenico, Colelli, Angelo, Contin, Giacomo, De Robertis, Giuseppe, Dumitrache, Florina, Elia, Domenico, Ferrero, Chiara, Fransen, Martin, Kluge, Alex, Kumar, Shyam, Lemoine, Corentin, Licciulli, Francesco, Lim, Bong-Hwi, Loddo, Flavio, Mager, Magnus, Marras, Davide, Martinengo, Paolo, Pastore, Cosimo, Patra, Rajendra Nath, Perciballi, Stefania, Piro, Francesco, Prino, Francesco, Ramello, Luciano, Ramos, Arianna Grisel Torres, Reidt, Felix, Russo, Roberto, Sarritzu, Valerio, Savino, Umberto, Schledewitz, David, Selina, Mariia, Senyukov, Serhiy, Sitta, Mario, Snoeys, Walter, Sonneveld, Jory, Suljic, Miljenko, Triloki, Triloki, Turcato, Andrea
In the context of the CERN EP R&D on monolithic sensors and the ALICE ITS3 upgrade, the Tower Partners Semiconductor Co (TPSCo) 65 nm process has been qualified for use in high energy physics, and adopted for the ALICE ITS3 upgrade. An Analog Pixel T
Externí odkaz:
http://arxiv.org/abs/2407.18528
The increasing adoption of connectivity and electronic components in vehicles makes these systems valuable targets for attackers. While automotive vendors prioritize safety, there remains a critical need for comprehensive assessment and analysis of c
Externí odkaz:
http://arxiv.org/abs/2407.07599
Autor:
Fu, Sal Wanying, Weisz, Daniel R., Starkenburg, Else, Martin, Nicolas, Collins, Michelle L. M., Savino, Alessandro, Boylan-Kolchin, Michael, Côté, Patrick, Dolphin, Andrew E., Longeard, Nicolas, Mateo, Mario L., Mercado, Francisco J., Sandford, Nathan R., Skillman, Evan D.
We present $\sim300$ stellar metallicity measurements in two faint M31 dwarf galaxies, Andromeda XVI ($M_V = -7.5$) and Andromeda XXVIII ($M_V = -8.8$) derived using metallicity-sensitive Calcium H & K narrow-band Hubble Space Telescope imaging. Thes
Externí odkaz:
http://arxiv.org/abs/2407.04698
The automotive industry has evolved significantly since the introduction of the Ford Model T in 1908. Today's vehicles are not merely mechanical constructs; they are integral components of a complex digital ecosystem, equipped with advanced connectiv
Externí odkaz:
http://arxiv.org/abs/2407.00483
This work evaluates how well hardware-based approaches detect stack buffer overflow (SBO) attacks in RISC-V systems. We conducted simulations on the PULP platform and examined micro-architecture events using semi-supervised anomaly detection techniqu
Externí odkaz:
http://arxiv.org/abs/2406.10282
Autor:
Kirdi, Sadek Misto, Scarano, Nicola, Oberti, Franco, Mannella, Luca, Di Carlo, Stefano, Savino, Alessandro
Modern vehicles are increasingly vulnerable to attacks that exploit network infrastructures, particularly the Controller Area Network (CAN) networks. To effectively counter such threats using contemporary tools like Intrusion Detection Systems (IDSs)
Externí odkaz:
http://arxiv.org/abs/2406.07125
Autor:
Eltaras, Tamer Ahmed, Malluhi, Qutaibah, Savino, Alessandro, Di Carlo, Stefano, Qayyum, Adnan, Qadir, Junaid
In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mechanism instead of exchanging raw data. However, recent studies show th
Externí odkaz:
http://arxiv.org/abs/2406.04227