Zobrazeno 1 - 10
of 33
pro vyhledávání: '"John W. Branch Bedoya"'
Autor:
Juan C. Briñez de León, Hermes A. Fandiño Toro, Alejandro Restrepo Martínez, John W. Branch Bedoya
Publikováno v:
Visión Electrónica, Vol 11, Iss 1, Pp 69-75 (2017)
En imágenes de fotoelasticidad, los patrones de franjas envuelven el campo de esfuerzos de un cuerpo birrefringente bajo cargas mecánicas. En estos casos, zonas con concentraciones de esfuerzos producen altas densidades de franjas, dificultando la
Externí odkaz:
https://doaj.org/article/550ee3c0b68143baad47eda95f1b5dc2
Autor:
Hermes A. Fandiño Toro, Juan C. Briñez de León, Alejandro Restrepo Martínez, John W. Branch Bedoya
Publikováno v:
Visión Electrónica, Vol 11, Iss 1, Pp 89-98 (2017)
Análisis de campos de esfuerzos en imágenes de fotoelasticidad son llevados a cabo mediante descriptores de textura en este artículo. En este caso, los descriptores considerados permiten identificar zonas con altas concentraciones de esfuerzo, inc
Externí odkaz:
https://doaj.org/article/d820a248cf0f4e43bc1015cdb7b1f740
Publikováno v:
Artificial Intelligence in Agriculture, Vol 13, Iss , Pp 1-17 (2024)
In recent years, smart agriculture has gained strength due to the application of industry 4.0 technologies in agriculture. As a result, efforts are increasing in proposing artificial vision applications to solve many problems. However, many of these
Externí odkaz:
https://doaj.org/article/06fc893f604947c89136e325a65eb5d5
Autor:
CARLOS MERA-BANGUERO, SERGIO ORDUZ, PABLO CARDONA, ANDRÉS ORREGO, JORGE MUÑOZ-PÉREZ, JOHN W. BRANCH-BEDOYA
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 96, Iss 4 (2024)
Abstract In the last decades, antibiotic resistance has been considered a severe problem worldwide. Antimicrobial peptides (AMPs) are molecules that have shown potential for the development of new drugs against antibiotic-resistant bacteria. Nowadays
Externí odkaz:
https://doaj.org/article/472b13d5fd3a4777b99e181da51c5028
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110679- (2024)
Digital image datasets for Precision Agriculture (PA) still need to be available. Many problems in this field of science have been studied to find solutions, such as detecting weeds, counting fruits and trees, and detecting diseases and pests, among
Externí odkaz:
https://doaj.org/article/47f188dd40234d86a11392729aab5fe9
Autor:
Mauricio Arias-Correa, Sebastián Robledo, Mateo Londoño, Johnatan Bañol, Carlos Madrigal-González, John R. Ballesteros, John W. Branch-Bedoya
Publikováno v:
HardwareX, Vol 18, Iss , Pp e00534- (2024)
This paper introduces CYCLOPS, an acquisition system developed to capture images and inertial measurement data of moving cyclists from a vehicle. The development of CYCLOPS addresses the need to acquire useful data for training machine learning model
Externí odkaz:
https://doaj.org/article/70c4b6eb2d724630b915195f20ae6a0d
Publikováno v:
Dyna, Vol 90, Iss 230 (2023)
Externí odkaz:
https://doaj.org/article/fb803a99f36e471a94a959c3071269be
Publikováno v:
Data, Vol 8, Iss 12, p 185 (2023)
Land cover classification, generated from satellite imagery through semantic segmentation, has become fundamental for monitoring land use and land cover change (LULCC). The tropical Andes territory provides opportunities due to its significance in th
Externí odkaz:
https://doaj.org/article/ce4e80e4bc00468085088f72c7370152
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
The recent technologies rise today as a tool of significant importance today, especially in the educational context. In this sense, Augmented Reality (AR) is a technology that is achieving a greater presence in educational centers in the last decade.
Externí odkaz:
https://doaj.org/article/d578a465088045eb89b65a41c331c98d
Publikováno v:
Data, Vol 8, Iss 8, p 128 (2023)
Vegetation encroachment in power line corridors has multiple problems for modern energy-dependent societies. Failures due to the contact between power lines and vegetation can result in power outages and millions of dollars in losses. To address this
Externí odkaz:
https://doaj.org/article/1292473a40c347cf95425b8ba039f357