Zobrazeno 1 - 10
of 311
pro vyhledávání: '"Carlos M. Travieso"'
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
Publikováno v:
Applied Computing and Geosciences, Vol 23, Iss , Pp 100192- (2024)
This study aims to tackle the obstacles linked with geological image segmentation by employing sophisticated deep learning techniques. Geological formations, characterized by diverse forms, sizes, textures, and colors, present a complex landscape for
Externí odkaz:
https://doaj.org/article/c6df43022044467d9f4300c3b1ccb2f3
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
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
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:
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
Publikováno v:
Uniciencia, Vol 36, Iss 1, Pp 1-8 (2022)
In this paper we propose a new method for symmetry calculation in wearable devices. The problem in this domain is that only discrete features such as stride length, stride duration, or duration of gait phases are used for the symmetry calculation. Ho
Externí odkaz:
https://doaj.org/article/439b48bd995c4e2cb276609e8f4e4669
Publikováno v:
Sensors, Vol 24, Iss 5, p 1372 (2024)
The Canary Islands are considered a hotspot of biodiversity and have high levels of endemicity, including endemic reptile species. Nowadays, some invasive alien species of reptiles are proliferating with no control in different parts of the territory
Externí odkaz:
https://doaj.org/article/a047e69f8c5541a2a71c92319fed5cfc
Autor:
Rubén Darío Vásquez-Salazar, Ahmed Alejandro Cardona-Mesa, Juan Valdés-Quintero, César Olmos-Severiche, Luis Gómez, Carlos M. Travieso-González, Jean Pierre Díaz-Paz, Jorge Ernesto Espinosa-Ovideo, Lorena Diez-Rendón, Andrés F. Garavito-González, Esteban Vásquez-Cano
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 552 (2024)
This paper presents a methodology to detect the coastal erosion and progradation effects in the ‘Atrato River’ delta, located in the Gulf of Urabá in Colombia, using SAR (Synthetic Aperture Radar) images. Erosion is the physical–mechanical los
Externí odkaz:
https://doaj.org/article/b1462767c34348d89a181256331f2d16