Zobrazeno 1 - 10
of 7 525
pro vyhledávání: '"A, Prudhomme"'
Autor:
Prudhomme, Tim, De Colle, Giacomo, Liebers, Austin, Sculley, Alec, Peihong, Xie, Cohen, Sydney, Beverley, John
The Provenance Ontology (PROV-O) is a World Wide Web Consortium (W3C) recommended ontology used to structure data about provenance across a wide variety of domains. Basic Formal Ontology (BFO) is a top-level ontology ISO/IEC standard used to structur
Externí odkaz:
http://arxiv.org/abs/2408.03866
Autor:
Nadimi, Esmaeil S., Braun, Jan-Matthias, Schelde-Olesen, Benedicte, Prudhomme, Emile, Blanes-Vidal, Victoria, Baatrup, Gunnar
Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of colorectal diseases, there remains a large gap between the current state of CCE in clinical practice, and the state of its counterpart optical colonosc
Externí odkaz:
http://arxiv.org/abs/2406.09761
Local-nonlocal coupling approaches combine the computational efficiency of local models and the accuracy of nonlocal models. However, the coupling process is challenging, requiring expertise to identify the interface between local and nonlocal region
Externí odkaz:
http://arxiv.org/abs/2404.15388
We propose in this paper a Proper Generalized Decomposition (PGD) solver for reduced-order modeling of linear elastodynamic problems. It primarily focuses on enhancing the computational efficiency of a previously introduced PGD solver based on the Ha
Externí odkaz:
http://arxiv.org/abs/2401.17804
The solution to partial differential equations using deep learning approaches has shown promising results for several classes of initial and boundary-value problems. However, their ability to surpass, particularly in terms of accuracy, classical disc
Externí odkaz:
http://arxiv.org/abs/2308.11503
Autor:
Nearing, Grey, Cohen, Deborah, Dube, Vusumuzi, Gauch, Martin, Gilon, Oren, Harrigan, Shaun, Hassidim, Avinatan, Klotz, Daniel, Kratzert, Frederik, Metzger, Asher, Nevo, Sella, Pappenberger, Florian, Prudhomme, Christel, Shalev, Guy, Shenzis, Shlomo, Tekalign, Tadele, Weitzner, Dana, Matias, Yoss
Floods are one of the most common natural disasters, with a disproportionate impact in developing countries that often lack dense streamflow gauge networks. Accurate and timely warnings are critical for mitigating flood risks, but hydrological simula
Externí odkaz:
http://arxiv.org/abs/2307.16104
Deep operator networks (DeepONets) have demonstrated their capability of approximating nonlinear operators for initial- and boundary-value problems. One attractive feature of DeepONets is their versatility since they do not rely on prior knowledge ab
Externí odkaz:
http://arxiv.org/abs/2307.13902
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 11, Iss 1, Pp 1-27 (2024)
Abstract We propose in this paper a Proper Generalized Decomposition (PGD) solver for reduced-order modeling of linear elastodynamic problems. It primarily focuses on enhancing the computational efficiency of a previously introduced PGD solver based
Externí odkaz:
https://doaj.org/article/fc328d31793b4e60969abaffca6c0f60
Autor:
Marc Prudhomme, Calum H. G. Johnston, Anne-Lise Soulet, Anne Boyeldieu, David De Lemos, Nathalie Campo, Patrice Polard
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Competence for natural transformation is a central driver of genetic diversity in bacteria. In the human pathogen Streptococcus pneumoniae, competence exhibits a populational character mediated by the stress-induced ComABCDE quorum-sensing (
Externí odkaz:
https://doaj.org/article/44af20040589484db115479145049dcf
Autor:
M. Choulga, F. Moschini, C. Mazzetti, S. Grimaldi, J. Disperati, H. Beck, P. Salamon, C. Prudhomme
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 2991-3036 (2024)
Climate change has resulted in more frequent occurrences of extreme events, such as flooding and heavy snowfall, which can have a significant impact on densely populated or industrialised areas. Numerical models are used to simulate and predict these
Externí odkaz:
https://doaj.org/article/37cbf5303b8f49edaf6599ee5fdfa5ae