Results 1 to 10 of about 791,940 (315)
In this article, we established new travelling wave solutions for the loaded Benjamin-Bona-Mahony and the loaded modified Benjamin-Bona-Mahony equation by the functional variable method.
B. Babajanov, F. Abdikarimov
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In this article, we construct exact traveling wave solutions of the loaded Korteweg-de Vries, the loaded modified Korteweg-de Vries, and the loaded Gardner equation by the functional variable method.
Bazar Babajanov, Fakhriddin Abdikarimov
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This paper presents exact solutions for the fractional Korteweg–de Vries equation and the fractional modified Korteweg–de Vries equation with additional term using the functional variable method.
Bazar Babajanov, Fakhriddin Abdikarimov
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On the variability of dynamic functional connectivity assessment methods
Dynamic functional connectivity (dFC) has become an important measure for understanding brain function and as a potential biomarker. However, various methodologies have been developed for assessing dFC, and it is unclear how the choice of method affects the results.
Mohammad Torabi +2 more
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The internal dimension of a small diameter variable cross-section composite inlet is small,the surface treatment is difficult,and the overall manufacturing is difficult.
CHEN Miaomiao +4 more
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Functional groups of sembung leaf metabolites can be detected using FTIR spectrometry by looking at the spectrum's shape from specific peaks that indicate the type of functional group of a compound.
kusnaeni kusnaeni +3 more
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This study presents a variational image restoration algorithm based on variable exponential fractional‐order total variation (TV), variable exponential integer‐order TV and tight frame sparse regularization.
Yingmei Wang, Zhendong Wang
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This paper studies the estimation problem for semi-varying coefficient heteroscedastic instrumental variable models with missing responses. First, we propose the adjusted estimators for unknown parameters and smooth functional coefficients utilizing the ...
Weiwei Zhang, Jingxuan Luo, Shengyun Ma
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This paper deals with the conditional density estimator of a real response variable given a functional random variable (i.e., takes values in an infinite-dimensional space).
Fadila Benaissa +2 more
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Multivariate Functional Kernel Machine Regression and Sparse Functional Feature Selection
Motivated by mobile devices that record data at a high frequency, we propose a new methodological framework for analyzing a semi-parametric regression model that allow us to study a nonlinear relationship between a scalar response and multiple functional
Joseph Naiman, Peter Xuekun Song
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