Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Rafael García-González"'
Autor:
Miguel ángel Castillo-Santiago, Edith Mondragon-Vazquez, Flor Rocío Espinosa-Jiménez, Rosa Elena Escobar-Flores, Rafael García-González, Roberto Domínguez-Vera, Sandra Patricia Chanona-Pérez, Jean Francois Mas, José Luis Hernández-Stefanoni
Publikováno v:
Botanical Sciences, Vol 100, Iss 1 (2024)
Antecedentes: Los mapas de bosques perturbados son útiles para identificar afectaciones sobre la biodiversidad y los servicios ecosistémicos. Los métodos que emplean únicamente datos espectrales para detectar las perturbaciones a nivel regional t
Externí odkaz:
https://doaj.org/article/70415ad5ca0a4a838386bd60b3857a15
Autor:
Rafael García-González, Angélica Reyes-Torres, María del Rocío Reyes-Montes, Esperanza Duarte-Escalante, María Guadalupe Frías-De-León, Beatriz Rivas-Sánchez, Oscar Velasco-Castrejón
Publikováno v:
Revista do Instituto de Medicina Tropical de São Paulo, Vol 61, Iss 0 (2019)
ABSTRACT The aim of this study was genotypically characterize Leptospira sp. clinical isolates from Mexico which were previously identified as Leptospira interrogans serovar Pomona (POM) by phenotypic methods. The Random Amplified Polymorphic DNA (RA
Externí odkaz:
https://doaj.org/article/17e4e09ec42a4322bddb4d4fa1b9215d
Publikováno v:
F1000Research, Vol 9 (2020)
Background: Previous studies of migraine classification have focused on the analysis of brain waves, leading to the development of complex tests that are not accessible to the majority of the population. In the early stages of this pathology, patient
Externí odkaz:
https://doaj.org/article/63c658ca659c41fba9fe1df68db6c42e
Autor:
Antony Triana, Paola Andrea Sánchez-Sánchez, Leidy Perez-Coronell, José Rafael García-González
Publikováno v:
Información tecnológica v.32 n.5 2021
SciELO Chile
CONICYT Chile
instacron:CONICYT
SciELO Chile
CONICYT Chile
instacron:CONICYT
Resumen: En este estudio se diseña una herramienta que permite evaluar el estado actual de vulnerabilidad informática que tiene una pequeña y mediana empresa (PYME) a partir de la medición del nivel de seguridad de su software. Se definen y descr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f05d2d6df76fd407fc69c612232a1ee
https://doi.org/10.4067/s0718-07642021000500121
https://doi.org/10.4067/s0718-07642021000500121
Autor:
Andres Felipe Pinzon Baldion, German Rodriguez Mercado, José Rafael García González, Leidy Perez Coronell, David Garcia Herazo, Paola Andrea Sánchez, Jhonny Cano Zuluaga
Publikováno v:
IEEE LATIN AMERICA TRANSACTIONS
Vol. 17, N°. 12 (2019)
Vol. 17, N°. 12 (2019)
In this paper, methodology Knowledge discovery in databases is used in the design and implementation of a tool for moods detection from musical data. The application allows users to interact with a music player, and based on their playlist and musica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2273a5494ed62180d70989ceb354262b
https://doi.org/10.1109/tla.2019.9011552
https://doi.org/10.1109/tla.2019.9011552
Autor:
Paola Andrea Sánchez-Sánchez, Alexis Rafael Messino Soza, José Rafael García-González, Manuel Alfonso Garzon-Castrillon
Publikováno v:
2021 16th Iberian Conference on Information Systems and Technologies (CISTI).
In this article, a conceptual structure is presented from the review of the theoretical and epistemological foundations associated with knowledge management and knowledge-based dynamic capabilities. Methodologically the contributions are structured f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e070ca3c3c1779e6f8aeff9abcde29
https://doi.org/10.23919/cisti52073.2021.9476300
https://doi.org/10.23919/cisti52073.2021.9476300
Publikováno v:
F1000Research
Background: Previous studies of migraine classification have focused on the analysis of brain waves, leading to the development of complex tests that are not accessible to the majority of the population. In the early stages of this pathology, patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd9a10b194eb36575735bd7734d28cb3
http://europepmc.org/articles/PMC8564744
http://europepmc.org/articles/PMC8564744
Publikováno v:
Información tecnológica
Vol. 31 N° 6, (2020)
Repositorio Digital USB
Universidad Simón Bolívar
instacron:Universidad Simón Bolívar
Información tecnológica v.31 n.6 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
Vol. 31 N° 6, (2020)
Repositorio Digital USB
Universidad Simón Bolívar
instacron:Universidad Simón Bolívar
Información tecnológica v.31 n.6 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
espanolEn este estudio se propone un esquema de integracion sistemica entre los diferentes elementos del diseno teorico de la investigacion desde los principios rectores de la investigacion holistica. Se define una metodologia de trabajo orientada a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c561287952895c36ba3ee56093ded499
https://scielo.conicyt.cl/scielo.php?pid=S0718-07642020000600159&script=sci_arttext
https://scielo.conicyt.cl/scielo.php?pid=S0718-07642020000600159&script=sci_arttext
Autor:
José Rafael García González, Carlos Hernán Fajardo-Toro, Paola Andrea Sánchez, Paloma Martínez Sánchez
Artificial neural networks are highly flexible and efficient tools in the approximation of time series patterns. In recent years, more than 5,000 studies oriented to the use of neural networks in time series forecasting have been evidenced in the ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aa39b99926613ca984591204d03b7e2
https://doi.org/10.4018/978-1-5225-8458-2.ch012
https://doi.org/10.4018/978-1-5225-8458-2.ch012
The objective of this chapter is to analyze the problem surrounding the task of prognosis with neural networks and the factors that affect the construction of the model, and that often lead to inconsistent results, emphasizing the problems of selecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fc2441a0af9bca6ee683ddc8fba499a
https://doi.org/10.4018/978-1-7998-3351-2.ch007
https://doi.org/10.4018/978-1-7998-3351-2.ch007