Results 11 to 20 of about 7,530,486 (302)
A TEMPORAL EXTENSION TO TRADITIONAL EMPIRICAL ORTHOGONAL FUNCTION ANALYSIS [PDF]
Analysis of Multi-Temporal Remote Sensing Images, 2002 This paper describes the application of temporal maximum autocorrelation factor analysis to global monthly mean values of 1996-1997 sea surface temperature (SST) and sea surface height (SSH) data. This type of analysis can be considered as an extension of traditional empirical orthogonal function (EOF) analysis, which provides a non-temporal analysis ...
Nielsen, Allan Aasbjerg; id_orcid 0000-0002-4837-9449 +3 more
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A BIVARIATE EXTENSION TO TRADITIONAL EMPIRICAL ORTHOGONAL FUNCTION ANALYSIS [PDF]
Analysis of Multi-Temporal Remote Sensing Images, 2002 This paper describes the application of canonical correlations analysis to the joint analysis of global monthly mean values of 1996-1997 sea surface temperature (SST) and height (SSH) data. The SST data are considered as one set and the SSH data as another set of multivariate observations, both with 24 variables. This type of analysis can be considered
Nielsen, Allan Aasbjerg; id_orcid 0000-0002-4837-9449 +3 more
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Displacement convexity for the generalized orthogonal ensemble. [PDF]
, 2004 The paper considers the generalized ensemble of n by n real symmetric matrices that is invariant under the natural action of the real orthogonal group and that is given by a real potential function.
Blower, Gordon
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Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method
Space Weather, 2023 We develop a climatological model for the Arctic ionosphere based on more than one solar cycle of data (2010–2021) of the rate of change of the total electron content index (ROTI) maps from the International GNSS Service (IGS).
Yaqi Jin +7 more
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Fully complex-valued radial basis function networks: orthogonal least squares regression and classification [PDF]
, 2008 We consider a fully complex-valued radial basis function (RBF) network for regression and classification applications. For regression problems, the locally regularised orthogonal least squares (LROLS) algorithm aided with the D-optimality experimental ...
Harris, C. J. +7 more
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Al-Mustansiriyah Journal of Science, 2017 The aim of this study is to identify the variations of Sea Surface Temperature (SST) of the Mediterranean Sea and the variations of air surface temperature and to total precipitation over the Middle East. In order to find the possible correlation between
Monim H. Khalaf
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Journal of Space Weather and Space Climate, 2022 This paper addresses the long-term climatology (over two solar cycles) of total electron content (TEC) irregularities from a polar cap station (Thule) using the rate of change of the TEC index (ROTI).
Jin Yaqi +12 more
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Remote Sensing, 2023 Tomographic inversion of the ionosphere is a rank-deficient problem. To overcome the above problem, an algebraic reconstruction technique (ART) based on adaptive horizontal constraint and empirical orthogonal function (ARTHCEOF) is proposed.
Debao Wen, Yinghao Tang, Kangyou Xie
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Orthogonal least squares algorithm for training multi-output radial basis function networks [PDF]
, 1991 A constructive learning algorithm for multioutput radial basis function networks is presented. Unlike most network learning algorithms, which require a fixed network structure, this algorithm automatically determines an adequate radial basis function ...
S. Chen +8 more
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JFMR-Journal of Fisheries and Marine Research, 2021 Perairan Selat Bali secara tidak langsung dipengaruhi oleh peristiwa yang terjadi di Samudera Hindia Selatan Jawa. Variabilitas musim dan antar-tahunan dari konsentrasi klorofil-a permukaan (SSC) di Selat Bali, berhubungan erat dengan periode Indian ...
Adi Wijaya +3 more
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