Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Selene Solorza"'
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5954 (2020)
The detection of skin diseases is becoming one of the priority tasks worldwide due to the increasing amount of skin cancer. Computer-aided diagnosis is a helpful tool to help dermatologists in the detection of these kinds of illnesses. This work prop
Externí odkaz:
https://doaj.org/article/b0c0f088c231470da4bb509079e126e2
Autor:
Jonathan Verdugo-Olachea, Selene Solorza-Calderón, Antonio González-Fernández, Jonás D. De Basabe
Publikováno v:
Archive of Applied Mechanics. 92:1507-1527
Autor:
Rubén Rioyos-Romero, Jonás D De Basabe, Selene Solorza-Calderón, Mario González-Escobar, Markus Gross
Publikováno v:
Geophysical Journal International. 230:427-447
SUMMARY Fractures largely control reservoir permeability and, therefore, it is of immediate importance to know the geometrical parameters of fracture sets and their effects on seismic data. To understand the interaction between the fractures and seis
Publikováno v:
Journal of Signal Processing Systems. 93:49-66
This paper presents a new system for pattern recognition in digital images, called Fractional Fourier-Radial Transform, invariant to translation, scale and rotation (TSR invariant) taking advantage of the well-known properties of some integral transf
Publikováno v:
Journal of Applied Geophysics. 168:24-40
Based on the Radon transform, this work presents an automation methodology to determine the inclination angle of the non-parallel BSRs. The non-parallel BSR pattern recognition system was tested with synthetic and real seismic reflection images (from
Publikováno v:
Expert Systems with Applications. 197:116671
Publikováno v:
Applied optics. 59(13)
This paper presents a new methodology for pattern recognition invariant to rotation, position, and scale. The method uses the correlation of signatures, where the signatures were created with a new equation called the radial Hilbert transform optimiz
Publikováno v:
Research in Computing Science. 147:125-133
Autor:
Mario González-Escobar, Antonio González-Fernández, Perla Karina Barba-Rojo, Selene Solorza-Calderón
Publikováno v:
Journal of Geophysics and Engineering. 15:2350-2369
Publikováno v:
Applied Mathematics and Computation. 411:126499
Ecological communities may present complex interactions, such that the standard Lotka-Volterra mathematical model may not describe the system adequately. Here, we address the question of how to detect automatically the presence of a particular set of