Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Kamps, M A"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
The problem of pattern selection in absolutely unstable open flow systems is investigated by considering the example of Rayleigh-B\'{e}nard convection. The spatiotemporal structure of convection rolls propagating downstream in an externally imposed f
Externí odkaz:
http://arxiv.org/abs/patt-sol/9610003
Publikováno v:
Phys. Rev. E 51 (1995) 5636
Nonlinear convection structures are investigated in quantitative detail as a function of Rayleigh number for several negative and positive Soret coupling strengths (separation ratios) and different Lewis and Prandtl numbers characterizing different m
Externí odkaz:
http://arxiv.org/abs/patt-sol/9504002
Publikováno v:
Phys. Rev. E 51 (1995) 5662
Nonlinear, spatially localized structures of traveling convection rolls are investigated in quantitative detail as a function of Rayleigh number for two different Soret coupling strengths (separation ratios) with Lewis and Prandtl numbers characteriz
Externí odkaz:
http://arxiv.org/abs/patt-sol/9504003
Autor:
Osborne, H, de Kamps, M
Publikováno v:
Frontiers in Neuroinformatics. 16
Population density techniques can be used to simulate the behavior of a population of neurons which adhere to a common underlying neuron model. They have previously been used for analyzing models of orientation tuning and decision making tasks. They
Improvements to patient care through the development of automated image analysis in pathology are restricted by the small image patch size that can be processed by convolutional neural networks (CNNs), when compared to the whole-slide image (WSI). Ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e41eb5f973fda56fd2416c01e6583bf5
https://eprints.whiterose.ac.uk/188528/6/1-s2.0-S2153353922007040-main.pdf
https://eprints.whiterose.ac.uk/188528/6/1-s2.0-S2153353922007040-main.pdf
Autor:
Damgaard, A., Lodato, C., Butera, S., Fruergaard, T. A., Kamps, M., Corbin, L., Tonini, D., Astrup, T. F.
Publikováno v:
Damgaard, A, Lodato, C, Butera, S, Fruergaard, T A, Kamps, M, Corbin, L, Tonini, D & Astrup, T F 2022, Background data collection and life cycle assessment for construction and demolition waste (CDW) management . EUR – Scientific and Technical Research series, no. JRC 130992, Publications Office of the European Union . https://doi.org/10.2760/772724
Construction and Demolition Waste (CDW) represents 40% of the waste generated in the EU and its suboptimal management generates detrimental environmental effects. The goal of the study is to calculate, document and compare the environmental impacts o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::14a1d0245f9a94a2b175c16c305b498c
https://orbit.dtu.dk/en/publications/3923fc5e-23b3-4ef0-864b-a9ab1689710c
https://orbit.dtu.dk/en/publications/3923fc5e-23b3-4ef0-864b-a9ab1689710c
Autor:
Einevoll, GT, Destexhe, A, Diesmann, M, Grün, S, Jirsa, V, de Kamps, M, Migliore, M, Ness, TV, Plesser, HE, Schürmann, F
A key element of the European Union’s Human Brain Project (HBP) and other large-scale brain research projects is the simulation of large-scale model networks of neurons. Here, we argue why such simulations will likely be indispensable for bridging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::fde4d112f2912d342e577eeb5fac10a3
https://eprints.whiterose.ac.uk/143939/1/ScientificCaseForBrainSimulations-Preprint.pdf
https://eprints.whiterose.ac.uk/143939/1/ScientificCaseForBrainSimulations-Preprint.pdf
Autor:
Spohn, S.K.B., Gainey, M., Kamps, M., Gratzke, C., Ruf, J., Benndorf, M., Zschaeck, S., Ghadjar, P., Baltas, D., Grosu, A.L., Zambolgou, C.
Publikováno v:
In European Urology Open Science November 2021 33 Supplement 3:S210-S210