Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Carlos M Travieso-González"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The emergence of the COVID-19 pandemic in 2019 and its rapid global spread put healthcare systems around the world to the test. This crisis created an unprecedented level of stress in hospitals, exacerbating the already complex task of healt
Externí odkaz:
https://doaj.org/article/2b53f80bd99c4792a998e153b0d41aa8
Autor:
Ahmed Alejandro Cardona-Mesa, Rubén Darío Vásquez-Salazar, Luis Gómez, Carlos M. Travieso-González, Andrés F. Garavito-González, Esteban Vásquez-Cano, Jean Pierre Díaz-Paz
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111160- (2024)
This article presents a comprehensive dataset combining Synthetic Aperture Radar (SAR) imagery from the Sentinel-1 mission with optical imagery, including RGB and Normalized Difference Vegetation Index (NDVI), from the Sentinel-2 mission. The dataset
Externí odkaz:
https://doaj.org/article/7d25ff818eb64bf69e510bbd32d3243b
Autor:
Pablo Hernández-Morera, Irene Castaño-González, Carlos M Travieso-González, Blanca Mompeó-Corredera, Francisco Ortega-Santana
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0146954 (2016)
PURPOSE:To develop a digital image processing method to quantify structural components (smooth muscle fibers and extracellular matrix) in the vessel wall stained with Masson's trichrome, and a statistical method suitable for small sample sizes to ana
Externí odkaz:
https://doaj.org/article/cc36ab7019e04cc19f75cc7526f8af0b
Autor:
Carlos M. Travieso-González, Sergio Celada-Bernal, Alejandro Lomoschitz, Fidel Cabrera-Quintero
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30002- (2024)
Forecasting is of great importance in the field of renewable energies because it allows us to know the quantity of energy that can be produced, and thus, to have an efficient management of energy sources. However, determining which prediction system
Externí odkaz:
https://doaj.org/article/4c9913a4a8bb41808df03fb0705ecebe
Artificial Intelligence (AI) has attracted the attention of many researchers and users alike, and it has become increasingly crucial in our modern society. From cars, smartphones, airplanes, medical equipment, consumer applications, and industrial ma
Autor:
Luis Gómez, Ahmed Alejandro Cardona-Mesa, Rubén Darío Vásquez-Salazar, Carlos M. Travieso-González
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2893 (2024)
This paper presents an analysis of different despeckling filters applied on both synthetically corrupted optical images and actual Synthetic Aperture Radar (SAR) images. Several authors use optical images as ground truth and then the images are corru
Externí odkaz:
https://doaj.org/article/9a5beb3c8653447dba1cce32b38a1420
Autor:
Rubén Darío Vásquez-Salazar, Ahmed Alejandro Cardona-Mesa, Luis Gómez, Carlos M. Travieso-González, Andrés F. Garavito-González, Esteban Vásquez-Cano
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110065- (2024)
When training Artificial Intelligence and Deep Learning models, especially by using Supervised Learning techniques, a labeled dataset is required to have an input with data and its corresponding labeled output data. In the case of images, for classif
Externí odkaz:
https://doaj.org/article/e2a066663b234cba80c4a232087ff3bd
Understanding and realizing the security and privacy challenges for information systems is a very critical and demanding task for both software engineers and developers to design and implement reliable and trustworthy information systems. This book p
Autor:
Carlos M. Travieso-González, Fidel Cabrera-Quintero, Alejandro Piñán-Roescher, Sergio Celada-Bernal
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5605 (2024)
The increasing penetration of solar energy into the grid has led to management difficulties that require high accuracy forecasting systems. New techniques and approaches are emerging worldwide every year to improve the accuracy of solar power forecas
Externí odkaz:
https://doaj.org/article/015d1c6b33cc4a13bee7e92a350cf210
Publikováno v:
Sensors, Vol 24, Iss 12, p 3726 (2024)
Cloudy conditions at a local scale pose a significant challenge for forecasting renewable energy generation through photovoltaic panels. Consequently, having real-time knowledge of sky conditions becomes highly valuable. This information could inform
Externí odkaz:
https://doaj.org/article/7560653612064a34a80013a6e79eb562