Zobrazeno 1 - 10
of 748
pro vyhledávání: '"P Centofanti"'
Industrial applications often exhibit multiple in-control patterns due to varying operating conditions, which makes a single functional linear model (FLM) inadequate to capture the complexity of the true relationship between a functional quality char
Externí odkaz:
http://arxiv.org/abs/2410.20138
Principal component analysis (PCA) is a fundamental tool for analyzing multivariate data. Here the focus is on dimension reduction to the principal subspace, characterized by its projection matrix. The classical principal subspace can be strongly aff
Externí odkaz:
http://arxiv.org/abs/2408.13596
We construct and compare three operator learning architectures, DeepONet, Fourier Neural Operator, and Wavelet Neural Operator, in order to learn the operator mapping a time-dependent applied current to the transmembrane potential of the Hodgkin- Hux
Externí odkaz:
http://arxiv.org/abs/2406.02173
In many modern industrial scenarios, the measurements of the quality characteristics of interest are often required to be represented as functional data or profiles. This motivates the growing interest in extending traditional univariate statistical
Externí odkaz:
http://arxiv.org/abs/2403.03837
Autor:
Centofanti, Edoardo, Scacchi, Simone
The numerical simulation of cardiac electrophysiology is a highly challenging problem in scientific computing. The Bidomain system is the most complete mathematical model of cardiac bioelectrical activity. It consists of an elliptic and a parabolic p
Externí odkaz:
http://arxiv.org/abs/2311.13914
Publikováno v:
Journal of Computational and Graphical Statistics, 2024
Multivariate Singular Spectrum Analysis (MSSA) is a powerful and widely used nonparametric method for multivariate time series, which allows the analysis of complex temporal data from diverse fields such as finance, healthcare, ecology, and engineeri
Externí odkaz:
http://arxiv.org/abs/2310.01182
Autor:
Emily Fearnley, Lex E.X. Leong, Alessia Centofanti, Paul Dowsett, Barry G. Combs, Anthony D.K. Draper, Helen Hocking, Ben Howden, Kristy Horan, Mathilda Wilmot, Avram Levy, Louise A. Cooley, Karina J. Kennedy, Qinning Wang, Alicia Arnott, Rikki M.A. Graham, Vitali Sinchenko, Amy V. Jennison, Stacey Kane, Rose Wright
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 11, Pp 2271-2278 (2024)
The bacterium Vibrio parahaemolyticus is ubiquitous in tropical and temperate waters throughout the world and causes infections in humans resulting from water exposure and from ingestion of contaminated raw or undercooked seafood, such as oysters. We
Externí odkaz:
https://doaj.org/article/5301811b05b34013b40c91145a95ec85
Autor:
Luca P. Weltert, Katia Audisio, Michele La Torre, Michele Dell’Aquila, Gianmarco Cancelli, Vittoria Lodo, Tulio Caldonazo, Camilla S. Rossi, Giovanni J. Soletti, Luigi Garufi, Paolo Centofanti, Ruggero De Paulis, Mauro Rinaldi
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background The impact of air bubbles into the cerebral circulation after open heart surgery has been a topic of discussion since the introduction of the heart-lung machine. The aim of the study was to evaluate whether the use of a dedicated
Externí odkaz:
https://doaj.org/article/4994597602fc40ea8361369243a6c8d4
Publikováno v:
Phys. Rev. A 109, 052421 (2024)
We present a Fermionic Cellular Automaton model which describes massless Dirac fermion in 1+1 dimension coupled with local, number preserving interaction. The diagonalization of the two particle sector shows that specific values of the total momentum
Externí odkaz:
http://arxiv.org/abs/2304.14687
Publikováno v:
Adolescents, Vol 4, Iss 3, Pp 355-374 (2024)
Background: Cyberbullying and nighttime phone use are independently detrimental to sleep and psychological wellbeing, but whether in combination they might be more disruptive remains unknown. Methods: Students aged 7–19 years (N = 53,734) completed
Externí odkaz:
https://doaj.org/article/8b9a4e6f70214237830426d8e6019af9