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Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. |
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Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends |
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2021 |
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In Journal: Robotics and Autonomous Systems. (Vol. 144, Article number 103832) |
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cidis @ cidis @ |
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158 |
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Velesaca, H.O., Suárez, P. L., Mira, R., & Sappa, A.D. |
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Title |
Computer Vision based Food Grain Classification: a Comprehensive Survey |
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Journal Article |
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2021 |
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In Computers and Electronics in Agriculture Journal. (Vol. 187, Article number 106287) |
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cidis @ cidis @ |
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159 |
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Daniela Rato, Miguel Oliviera, Victor Santos, Manuel Gomes & Angel Sappa |
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Title |
A Sensor-to-Pattern Calibration Framework for Multi-Modal Industrial Collaborative Cells. |
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Journal Article |
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2022 |
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Journal of Manufacturing Systems |
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Vol. 64 |
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pp 497 – 507 |
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yes |
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cidis @ cidis @ |
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184 |
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Pereira J., Mora M. & W. Agila |
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Title |
Qualitative Model to Maximize Shrimp Growth at Low Cost |
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2021 |
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5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15 |
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cidis @ cidis @ |
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167 |
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Author |
Xavier Soria , Gonzalo Pomboza-Junez & Angel Sappa. |
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Title |
LDC: Lightweight Dense CNN for Edge Detection. |
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Journal Article |
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2022 |
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IEEE Access journal |
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Vol. 10 |
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pp 68281 – 68290 |
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yes |
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cidis @ cidis @ |
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183 |
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Author |
Ulises Gildardo Quiroz Antúnez, Alejandro Ismael Monterroso Rivas, María Fernanda Calderón Vega, Adán Guillermo Ramírez García |
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Title |
APTITUDE OF COFFEE (COFFEA ARABICA L.) AND CACAO (THEOBROMA CACAO L.) CROPS CONSIDERING CLIMATE CHANGE |
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Journal Article |
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Year |
2022 |
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Granja |
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36 |
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2 |
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no |
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cidis @ cidis @ |
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200 |
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Author |
Armin Mehri; Parichehr Behjati; Angel Domingo Sappa |
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Title |
TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution. |
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2023 |
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IEEE Access |
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Vol. 11 |
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pp. 11529 - 11540 |
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cidis @ cidis @ |
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207 |
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Author |
Boris Vintimilla, Jorge Vulgarin, Henry Velesaca |
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Title |
Deep Learning-based Human Height Estimation from a Stereo Vision System |
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2023 |
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accepted in IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, julio 4-7 |
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cidis @ cidis @ |
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215 |
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Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia |
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2023 |
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Dense extreme inception network for edge detection. Pattern Recognition, Vol. 139, 109461 |
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cidis @ cidis @ |
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216 |
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Author |
Ortiz J.; Londono J.; Novillo F.; Ampuno A.; Chávez M. |
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Title |
Determinación de Invariantes en Grandes Centros de Datos basados en Topología Fat-Tree |
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2015 |
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Revista Politécnica |
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35 |
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91-96 |
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Keywords |
Invariantes de red, topologías, Fat-tree, simulación, emulación |
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Abstract |
Durante los últimos años ha existido un fuerte incremento en el acceso a internet, causando que los centros de datos ( DC) deban adaptar dinámicamente su infraestructura de red de cara a enfrentar posibles problemas de congestión, la cual no siempre se da de forma oportuna. Ante esto, nuevas topologías de red se han propuesto en los últimos años, como una forma de brindar mejores condiciones para el manejo de tráfico interno, sin embargo es común que para el estudio de estas mejoras, se necesite recrear el comportamiento de un verdadero DC en modelos de simulación/emulación. Por lo tanto se vuelve esencial validar dichos modelos, de cara a obtener resultados coherentes con la realidad. Esta validación es posible por medio de la identificación de ciertas propiedades que se deducen a partir de las variables y los parámetros que describen la red, y que se mantienen en las topologías de los DC para diversos escenarios y/o configuraciones. Estas propiedades, conocidas como invariantes, son una expresión del funcionamiento de la red en ambientes reales, como por ejemplo la ruta más larga entre dos nodos o el número de enlaces mínimo que deben fallar antes de una pérdida de conectividad en alguno de los nodos de la red. En el presente trabajo se realiza la identificación, formulación y comprobación de dos invariantes para la topología Fat-Tree, utilizando como software emulador a mininet. Las conclusiones muestran resultados concordantes entre lo analítico y lo práctico. |
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Escuela Politécnica Nacional |
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Español |
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Español |
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cidis @ cidis @ |
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32 |
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