Zobrazeno 1 - 10
of 12 836
pro vyhledávání: '"A, Paci"'
This paper proposes a self-learning framework to incrementally train (fine-tune) a personalized Keyword Spotting (KWS) model after the deployment on ultra-low power smart audio sensors. We address the fundamental problem of the absence of labeled tra
Externí odkaz:
http://arxiv.org/abs/2408.12481
Autor:
Paci, Gregorio, Zanusso, Omar
Using cohomological methods, we identify both trivial and nontrivial contributions to the conformal anomaly in the presence of vectorial torsion in $d=2,4$ dimensions. In both cases, our analysis considers two scenarios: one in which the torsion vect
Externí odkaz:
http://arxiv.org/abs/2407.00415
We study substructures of the Weyl group of conformal transformations of the metric of (pseudo)Riemannian manifolds. These substructures are identified by differential constraints on the conformal factors of the transformations which are chosen such
Externí odkaz:
http://arxiv.org/abs/2404.05665
Autor:
Matteocci, Fabio, Di Girolamo, Diego, Vidon, Guillame, Barichello, Jessica, Di Giacomo, Francesco, Jafarzadeh, Farshad, Paci, Barbara, Generosi, Amanda, Kim, Minjin, Castriotta, Luigi Angelo, Frégnaux, Mathieu, Guillemoles, Jean-François, Schulz, Philip, Ory, Daniel, Cacovich, Stefania, Di Carlo, Aldo
Efficient semi-transparent solar cells can trigger the adoption of building integrated photovoltaics. Halide perovskites are particularly suitable in this respect owing to their tunable bandgap. Main drawbacks in the development of transparent perovs
Externí odkaz:
http://arxiv.org/abs/2401.17816
We derive the running of the $R^2$ coupling in the Starobinsky Lagrangian that stems from integrating out quantum torsion fluctuations on a maximally symmetric Euclidean background. Our analysis is performed in a manifestly covariant way, exploiting
Externí odkaz:
http://arxiv.org/abs/2312.16681
Statistical modelling in the presence of data organized in groups is a crucial task in Bayesian statistics. The present paper conceives a mixture model based on a novel family of Bayesian priors designed for multilevel data and obtained by normalizin
Externí odkaz:
http://arxiv.org/abs/2310.20376
Autor:
Sara Cecchini, Cristina Gatti, Daniela Fornarelli, Lorenzo Fantechi, Cinzia Romagnolo, Elena Tortato, Anna Rita Bonfigli, Roberta Galeazzi, Fabiola Olivieri, Giuseppe Bronte, Enrico Paci
Publikováno v:
Tomography, Vol 10, Iss 8, Pp 1312-1319 (2024)
Background: Distinguishing between Charcot Neuroarthropathy (CN), osteomyelitis (OM), and CN complicated with superimposed OM in diabetic patients is crucial for the treatment choice. Given that current diagnostic methods lack specificity, advanced t
Externí odkaz:
https://doaj.org/article/777ccd3c6e7b46cfb866666e14df65bc
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 7, Pp 1-48 (2024)
Abstract We study substructures of the Weyl group of conformal transformations of the metric of (pseudo)Riemannian manifolds. These substructures are identified by differential constraints on the conformal factors of the transformations which are cho
Externí odkaz:
https://doaj.org/article/55ba5158e3b04510ba18a14023898a8f
Autor:
Barros, Michael Taynnan, Paci, Michelangelo, Tervonen, Aapo, Passini, Elisa, Koivumäki, Jussi, Hyttinen, Jari, Lenk, Kerstin
With many advancements in in silico biology in recent years, the paramount challenge is to translate the accumulated knowledge into exciting industry partnerships and clinical applications. Achieving models that characterize the link of molecular int
Externí odkaz:
http://arxiv.org/abs/2306.02369
Publikováno v:
Class.Quant.Grav. 40 (2023) 19, 195005
We propose a functional measure over the torsion tensor. We discuss two completely equivalent choices for the Wheeler-DeWitt supermetric for this field, the first one being based on its algebraic decomposition, the other inspired by teleparallel theo
Externí odkaz:
http://arxiv.org/abs/2304.08360