Zobrazeno 1 - 10
of 25
pro vyhledávání: '"A.-C. Weger"'
Autor:
Li Li, M. Dostal, H. T. Lambertz, Wolfgang Biel, Yasuhiro Suzuki, G. Offermanns, Y. Wei, G. Czymek, B. Schweer, G. Satheeswaran, A. Charl, Nengchao Wang, P. Börner, Oliver Schmitz, E. Wang, Alexis Terra, Y. Gao, D. Höschen, S. Sereda, J. Thomas, F. Hasenbeck, Ch. Linsmeier, T. S. Pederson, S. Brezinsek, J. Geiger, P. Denner, K. P. Hollfeld, M. Rack, S. C. Liu, Dirk Nicolai, Detlev Reiter, Yunfeng Liang, O. Grulke, Y. Feng, M. Knaup, A.-C. Weger, M. Krychowiak, A. Krämer-Flecken, U. Samm, O. Marchuk, Philipp Drews, Florian Effenberg, R. König, Olaf Neubauer
Publikováno v:
Nuclear Fusion
A group of edge diagnostics and modelling has been developed for investigation of synergy between 3D edge physics and plasma-wall interactions on Wendelstein 7-X (W7-X). Two endoscopes have been designed for visible and ultraviolet spectroscopy and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86666470500e8c47b9a98a69db60ba83
https://hdl.handle.net/11858/00-001M-0000-002D-8417-A11858/00-001M-0000-002D-8415-E11858/00-001M-0000-002D-C9B3-2
https://hdl.handle.net/11858/00-001M-0000-002D-8417-A11858/00-001M-0000-002D-8415-E11858/00-001M-0000-002D-C9B3-2
Publikováno v:
Nuclear Fusion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4208ad9e088a57fc6822411314127183
https://doi.org/10.1088/1741-4326/aa60e4
https://doi.org/10.1088/1741-4326/aa60e4
Autor:
Antonette Logar, B. A. Baum, A. Pretre, R. C. Weger, Todd Berendes, E. M. Corwin, Kwo-Sen Kuo, Ronald M. Welch
Publikováno v:
Journal of Geophysical Research: Atmospheres. 104:6199-6213
The accuracy and efficiency of four approaches to identifying clouds and aerosols in remote sensing imagery are compared. These approaches are as follows: a maximum likelihood classifier, a paired histogram technique, a hybrid class elimination appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f2bcde391f99002066d6687dbaeeee4
https://doi.org/10.1029/98jd02584
https://doi.org/10.1029/98jd02584
Publikováno v:
Journal of Geophysical Research: Atmospheres. 103:11363-11380
This study focuses on the nature of regularity in cumulus cloud fields at the spatial scales suggested by Weger et al. [1993]. We analyzed cumulus cloud fields from Landsat, advanced very high resolution radiometer, and GOES satellite imagery for reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d43cb1cc85d3bf829753bdb26bff31aa
https://doi.org/10.1029/98jd00088
https://doi.org/10.1029/98jd00088
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer. 56:703-711
Two techniques are presented to improve the generality of the spherical harmonics solution. We first exploit the properties of the matrices encountered in the spherical harmonics method and develop a technique that handles bidirectionally reflective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a46e81103a5bd048ed526c13eaed43a
https://doi.org/10.1016/s0022-4073(96)00104-5
https://doi.org/10.1016/s0022-4073(96)00104-5
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer. 55:195-213
The present paper presents the Picard Iterative (PI) algorithm for the solution of the 3-D radiative transfer equation (RTE). The method is based on the integral equation form of the RTE. Results presented demonstrate that the PI technique provides a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::786418f93091d79ca29490372f854635
https://doi.org/10.1016/0022-4073(95)00152-2
https://doi.org/10.1016/0022-4073(95)00152-2
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer. 53:425-444
The present Picard Iterative (PI) approach is designed to be a compromise between the generality of Monto Carlo techniques and the numerical efficiency of the existing analytical approaches. The PI method, like the Successive Orders of Scattering app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a374fd4562ddc4d80c1d4a7f1581c35
https://doi.org/10.1016/0022-4073(95)90017-9
https://doi.org/10.1016/0022-4073(95)90017-9
Publikováno v:
Journal of Geophysical Research: Atmospheres. 98:18449-18463
This study applies the K-nearest-neighbor (KNN) statistic as well as a morphological filtering approach for the identification and analysis of cloud clusters. These approaches first are evaluated by application to synthetically generated normally dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef4fc3fe4ec876f90c91c30dab580b5c
https://doi.org/10.1029/93jd01733
https://doi.org/10.1029/93jd01733
Autor:
Antonette Logar, R. C. Weger, Ronald M. Welch, Manuel L. Penaloza, V. R. Tovinkere, Todd Berendes, J. Lee
Publikováno v:
Journal of Geophysical Research: Atmospheres. 98:5001-5016
The following six different artificial-intelligence (AI) approaches to polar scene identification are examined: (1) a feed forward back propagation neural network, (2) a probabilistic neural network, (3) a hybrid neural network, (4) a 'don't care' fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cb6f5ae28aac726b236c5b522041998
https://doi.org/10.1029/92jd02599
https://doi.org/10.1029/92jd02599
Autor:
Ibrahim Palaz, Ronald C. Weger
Publikováno v:
The Leading Edge. 9:28-31
Pattern recognition plays an important role in a wide variety of applications from robot vision to predicting stock market trends. Efforts to automate the pattern recognition process go back in time to an early stage in the development of the modern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc45b703e9b50858fae220f2a016136f
https://doi.org/10.1190/1.1439726
https://doi.org/10.1190/1.1439726