Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Matthias Langer"'
Publikováno v:
Journal of Transport and Land Use, Vol 16, Iss 1 (2023)
While discussions are ongoing about the exact meaning of car dependence, its assessment has been primarily qualitative. The few quantitative approaches adopted so far have tended to analyze either high car use and ownership or a lack of public transp
Externí odkaz:
https://doaj.org/article/a163abf916694bf49eda71b386e6326c
Autor:
Juan Giribet, Matthias Langer, Leslie Leben, Alejandra Maestripieri, Francisco Martínez Pería, Carsten Trunk
Publikováno v:
Opuscula Mathematica, Vol 38, Iss 5, Pp 623-649 (2018)
A \(J\)-frame is a frame \(\mathcal{F}\) for a Krein space \((\mathcal{H},[\cdot,\cdot ])\) which is compatible with the indefinite inner product \([\cdot,\cdot ]\) in the sense that it induces an indefinite reconstruction formula that resembles thos
Externí odkaz:
https://doaj.org/article/a1ecd68ab3e24f13b2bcd76c3231396b
Publikováno v:
Meteorologische Zeitschrift, Vol 4, Iss 1, Pp 43-44 (1995)
Externí odkaz:
https://doaj.org/article/fd5731a714a24e7fb402986b4156b7ba
Autor:
Matthias Langer, Alexander Hilo, Jiahn-Chou Guan, Karen E Koch, Hui Xiao, Pieter Verboven, Andre Gündel, Steffen Wagner, Stefan Ortleb, Volodymyr Radchuk, Simon Mayer, Bart Nicolai, Ljudmilla Borisjuk, Hardy Rolletschek
Publikováno v:
Plant Physiology. 192:1268-1288
Maize (Zea mays) kernels are the largest cereal grains, and their endosperm is severely oxygen deficient during grain fill. The causes, dynamics, and mechanisms of acclimation to hypoxia are minimally understood. Here, we demonstrate that hypoxia dev
Autor:
Brandon Victor, Stuart Morgan, Aiden Nibali, Marc Elipot, Ashley Hall, Matthias Langer, Zhen He
Publikováno v:
Neural Computing and Applications. 33:7205-7223
It is very important for swimming coaches to analyse a swimmer’s performance at the end of each race, since the analysis can then be used to change strategies for the next round. Coaches rely heavily on statistics, such as stroke length and instant
Publikováno v:
Vision Systems: Applications
Measuring and recognising the surfaces of the surrounding world forms a ubiquitous problem in automation and robotics. The knowledge of the environment allows a flexible and autonomous behaviour in different situations. Stereo vision belongs to the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da4faae31785eacceca7344685788bac
http://www.intechopen.com/articles/show/title/dynamic_3d-vision
http://www.intechopen.com/articles/show/title/dynamic_3d-vision
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the distributed resources of a cluster. Developers of DDLS are required to make many decisions to process their particular workloads in their chosen environment ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a3e40762a25880eb4efb60e498ea0a7
http://arxiv.org/abs/2007.03970
http://arxiv.org/abs/2007.03970
We investigate an infinite, linear system of ordinary differential equations that models the evolution of fragmenting clusters. We assume that each cluster is composed of identical units (monomers) and we allow mass to be lost, gained or conserved du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f1e9353356e18f88129459f4f913e22
Autor:
Carsten Trunk, Juan I. Giribet, Friedrich Philipp, Matthias Langer, Francisco Dardo Martinez Peria
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
We prove new spectral enclosures for the non-real spectrum of a class of 2 × 2 block operator matrices with self-adjoint operators A and D on the diagonal and operators B and − B* as off-diagonal entries. One of our main results resembles Gershgor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1efd7a08e5407c29862ede37218413d7
http://sedici.unlp.edu.ar/handle/10915/124909
http://sedici.unlp.edu.ar/handle/10915/124909
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 29:2540-2556
Many distributed deep learning systems have been published over the past few years, often accompanied by impressive performance claims. In practice these figures are often achieved in high performance computing (HPC) environments with fast InfiniBand