Zobrazeno 1 - 10
of 8 903
pro vyhledávání: '"P. Wiedemann"'
Autor:
Nanini, Santino, Abid, Mariem, Mamouni, Yassir, Wiedemann, Arnaud, Jouvet, Philippe, Bourassa, Stephane
This paper presents the development of machine learning (ML) models to predict hypoxemia severity during emergency triage, especially in Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) events, using physiological data from medical-
Externí odkaz:
http://arxiv.org/abs/2410.23503
The analysis of non-local regularisations of scalar conservation laws is an active research program. Applications of such equations are found in the modelling of physical phenomena such as traffic flow. In this paper, we propose a novel inviscid, non
Externí odkaz:
http://arxiv.org/abs/2410.16743
Prediction problems in geographic information science and transportation are often motivated by the possibility to enhance operational efficiency and thereby reduce emissions. Examples range from predicting car sharing demand for relocation planning
Externí odkaz:
http://arxiv.org/abs/2410.11709
This study introduces an innovative local statistical moment approach for estimating Kramers-Moyal coefficients, effectively bridging the gap between nonparametric and parametric methodologies. These coefficients play a crucial role in characterizing
Externí odkaz:
http://arxiv.org/abs/2408.13555
Autor:
Berg, Lennart, Wiedemann, Torben
Using the well-known realisation of the root system $ H_3 $ as a folding of $ D_6 $, one can construct examples of $ H_3 $-graded groups from Chevalley groups of type $ D_6 $. Such Chevalley groups are defined over a commutative ring $ R $, and the r
Externí odkaz:
http://arxiv.org/abs/2408.06745
Autor:
Walter, Michael, Schmidhammer, Martin, Bellido-Manganell, Miguel A., Wiedemann, Thomas, Shutin, Dmitriy
In this paper, we present a complete analytic probability based description of mobile-to-mobile uncorrelated scatter channels. The correlation based description introduced by Bello and Matz is thus complemented by the presented probabilistic descript
Externí odkaz:
http://arxiv.org/abs/2407.15653
Signatures of collectivity, including azimuthally anisotropic and radial flow as well as characteristic hadrochemical dependencies, have been observed since long in (ultra)relativistic nucleus-nucleus collisions. They underpin the interpretation of t
Externí odkaz:
http://arxiv.org/abs/2407.07484
We introduce a novel Image Quality Assessment (IQA) dataset comprising 6073 UHD-1 (4K) images, annotated at a fixed width of 3840 pixels. Contrary to existing No-Reference (NR) IQA datasets, ours focuses on highly aesthetic photos of high technical q
Externí odkaz:
http://arxiv.org/abs/2406.17472
We devise a novel method for nowcasting implied volatility based on neural operators. Better known as implied volatility smoothing in the financial industry, nowcasting of implied volatility means constructing a smooth surface that is consistent with
Externí odkaz:
http://arxiv.org/abs/2406.11520
In the vanishing viscosity limit from the Navier-Stokes to Euler equations on domains with boundaries, a main difficulty comes from the mismatch of boundary conditions and, consequently, the possible formation of a boundary layer. Within a purely int
Externí odkaz:
http://arxiv.org/abs/2406.05860