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Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification
(2021-01-01)
Deep learning techniques have been widely researched and applied to several problems, ranging from recommendation systems and service-based analysis to medical diagnosis. Nevertheless, even with outstanding results in some ...
Comparative analysis of synchronization algorithms based on PLL, RDFT and Kalman Filter
(2007-12-01)
This paper discusses the main characteristics and presents a comparative analysis of three synchronization algorithms based respectively, on a Phase-Locked Loop, a Kalman Filter and a Discrete Fourier Transform. It will ...
The fractional and nonlinear magneto-flexible rod
(2012-11-01)
This paper deals with a system involving a flexible rod subjected to magnetic forces that can bend it while simultaneously subjected to external excitations produces complex and nonlinear dynamic behavior, which may present ...
A regularized nonlinear diffusion approach for texture image denoising
(2009-12-01)
In this paper a new partial differential equation based method is presented with a view to denoising images having textures. The proposed model combines a nonlinear anisotropic diffusion filter with recent harmonic analysis ...
Thermoanalytical study of heavier trivalent lanthanides fumarates
(2013-08-01)
Solid-state heavier lanthanides fumarates compounds have been synthesized, and the compounds were characterized by employing simultaneous thermogravimetry and differential thermal analysis (TG-DTA), differential scanning ...
Roundness Estimation of Sedimentary Rocks Using Eliptic Fourier and Deep Neural Networks
(IEEE, 2020-11-26)
Sedimentary rocks analysis is useful in geological science, economic sector, and risk evaluation.
Roundness is a morphological parameter that provide information to characterize and classify sedimentary
material. Roundness ...
Precision of yule-walker methods for the arma spectral model
(2004-12-01)
In this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing ...
Automatic segmentation of latent fingerprints
(2012-12-01)
Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting ...
Harmonic content identification based on neural method for single phase power systems
(2009-12-01)
An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the ...