Zobrazeno 1 - 10
of 5 539
pro vyhledávání: '"Kassai"'
Autor:
Jean-François Deux, MD, PhD, Kassai Miklos, MD, Carl Glessgen, MD, Lindsey Crowe, PhD, Vincent Breguet, Roberta Sudy, MD, PhD, Karl Kunze, PhD, Michaela Schmidt, René Botnar, PhD, Claudia Prieto, PhD, Dionysios Adamopoulos, MD, PhD, Dipen Shah, MD, Jean-Paul Vallée, MD
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100626- (2024)
Externí odkaz:
https://doaj.org/article/51186171d819445bac7ca71878079097
Publikováno v:
Modern Geográfia, Vol 17, Iss 3, Pp 61-69 (2022)
An irreversible consequence of urban expansion and industrial/infrastructural developments is that a significant extent of soil disappears in the affected area. In Hungary, no specific database shows the processes regarding soil degradation due to so
Externí odkaz:
https://doaj.org/article/1c24c6d03b7b48aebf238416f5168d4d
Solving time-dependent parametric partial differential equations (PDEs) is challenging, as models must adapt to variations in parameters such as coefficients, forcing terms, and boundary conditions. Data-driven neural solvers either train on data sam
Externí odkaz:
http://arxiv.org/abs/2410.03437
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 13, Pp 1693-1704 (2020)
Chris Dowrick,1,2 Ryuki Kassai,2,3 Cindy LK Lam,2,4 Raymond W Lam,5,6 Garth Manning,2 Jill Murphy,5,6 Chee H Ng,7,8 Chandramani Thuraisingham2,9 1Department of Primary Care and Public Health, University of Liverpool, Liverpool, UK; 2World Organizatio
Externí odkaz:
https://doaj.org/article/7063a4d94d0f438a988e97ee895f319b
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy consumption estimation within a Kubernetes cluster environment. It aims
Externí odkaz:
http://arxiv.org/abs/2403.04665
This paper proposes a novel three tier architecture for federated learning to optimize edge computing environments. The proposed architecture addresses the challenges associated with client data heterogeneity and computational constraints. It introdu
Externí odkaz:
http://arxiv.org/abs/2403.04546
Bakgrund: Samarbete mellan olika vårdenheter rymmer många olika svårigheter och utmaningar från geografisk distans till skilda arbetssätt, rutiner och journalsystem samt olika individer. Tidigare studier har visat att samarbetet fungerar bättre
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-119172
Autor:
Serrano, Louis, Boudec, Lise Le, Koupaï, Armand Kassaï, Wang, Thomas X, Yin, Yuan, Vittaut, Jean-Noël, Gallinari, Patrick
Machine learning approaches for solving partial differential equations require learning mappings between function spaces. While convolutional or graph neural networks are constrained to discretized functions, neural operators present a promising mile
Externí odkaz:
http://arxiv.org/abs/2306.07266
Introduction [11C]choline is a very effective PET radiopharma-ceutical for the study of prostate cancer. To support the increasing demand for [11C]choline, several different synthetic approaches have been described in the literature, including differ
Externí odkaz:
https://hzdr.qucosa.de/id/qucosa%3A22258
https://hzdr.qucosa.de/api/qucosa%3A22258/attachment/ATT-0/
https://hzdr.qucosa.de/api/qucosa%3A22258/attachment/ATT-0/