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Steven Araujo, Yeins Aristizabal, Edison Rodríguez, Nick Arévalo, Roberto Encalada, Sina Sayadi, Carlos Azua, Cristina De Nardi, & Boris X. Vintimilla |
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AI-Driven Visual Inspection System for Crack Characterisation and Strength Estimation of Lime Mortar |
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2026 |
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9WCSCM World Conference on Structural Control and Monitoring (WCSCM) |
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cidis @ cidis @ |
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300 |
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Velesaca, H.O. , Mero, A. , Reyes-Angulo, A. , Sappa, A.D. |
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Title |
AINet: Integrating Mamba and CBAM for Enhanced Camouflage Object Detection |
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2026 |
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IEEE Access |
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14 |
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34289–34319 |
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cidis @ cidis @ |
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304 |
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Arias Alexandra. Ing.; Peña Roxanna. Ing.; Chávez Patricia. MSEE.; Basurto Juan. Ing |
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Title |
Análisis Comparativo de la Implementación de una PBX de Código Abierto instalada en un Servidor Tradicional y en un Enrutador Inalámbrico en términos de Calidad de Servicio en Redes Inalámbricas Amalladas |
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2011 |
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Revista Tecnologica ESPOL RTE |
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Vol. 24 |
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pp. 1-6 |
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Keywords |
Redes Inalámbricas Mesh, VoIP, Asterisk |
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El presente trabajo compara dos Implementaciones de Centrales Telefónicas VoIP de Código Abierto implementados sobre una Red Inalámbrica Amallada. El primero comprende la instalación de la PBX en un servidor tradicional y el segundo la instalación de una PBX en un enrutador inalámbrico. Nuestro objetivo es
determinar cuál de estos dos sistemas es superior en cuanto a calidad de servicio se refiere. Para determinar la mejor solución, realizamos un estudio técnico de los paquetes capturados durante diferentes pruebas, considerando parámetros como el ancho de banda, retardo y jitter. Nuestros métodos de análisis pueden ser utilizados para futuros trabajos con una mayor complejidad y número de enrutadores inalámbrico, así como establecer el grado de afectación y el comportamiento de las dos PBX cuando haya congestión en la red. |
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Escuela Superior Politécnica del Litoral Km 30.5 vía Perimetral |
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Guayaquil, Guayas Ecuador |
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Español |
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cidis @ cidis @ |
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14 |
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Ma. Paz Velarde; Erika Perugachi; Dennis G. Romero; Ángel D. Sappa; Boris X. Vintimilla |
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Title |
Análisis del movimiento de las extremidades superiores aplicado a la rehabilitación física de una persona usando técnicas de visión artificial. |
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2015 |
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Revista Tecnológica ESPOL-RTE |
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Vol. 28 |
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pp. 1-7 |
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Rehabilitation; RGB-D Sensor; Computer Vision; Upper limb |
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Abstract |
Comúnmente durante la rehabilitación física, el diagnóstico dado por el especialista se basa en observaciones cualitativas que sugieren, en algunos casos, conclusiones subjetivas. El presente trabajo propone un enfoque cuantitativo, orientado a servir de ayuda a fisioterapeutas, a través de una herramienta interactiva y de bajo costo que permite medir los movimientos de miembros superiores. Estos movimientos son capturados por un sensor RGB-D y procesados mediante la metodología propuesta, dando como resultado una eficiente representación de movimientos, permitiendo la evaluación cuantitativa de movimientos de los miembros superiores. |
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ESPOL |
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no |
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cidis @ cidis @ |
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39 |
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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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2022 |
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Granja |
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Vol. 36 |
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Issue 2 |
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no |
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cidis @ cidis @ |
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200 |
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Author |
Luis E. Chuquimarca, Boris X. Vintimilla & Sergio A. Velastin |
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Assessing deep learning model robustness for banana ripeness classification under varying illumination conditions |
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2025 |
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Smart Agricultural Technology |
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Vol. 12 |
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cidis @ cidis @ |
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290 |
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Henry V. Lara, Andrea M. Plaza, Rafael R. Campodonico, Guillermo C. Erazo & Angel D. Sappa |
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AVNet: Cross-Spectral Attention-Vision Model for Camouflaged Object Detection in Ecological Conservation |
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2026 |
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21st International Conference on Computer Vision Theory and Applications VISAPP 2026 |
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cidis @ cidis @ |
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298 |
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Author |
Charco, J.L., Sappa, A.D., Vintimilla, B.X., Velesaca, H.O. |
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Title |
Camera pose estimation in multi-view environments:from virtual scenarios to the real world |
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2021 |
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In Image and Vision Computing Journal. (Article number 104182) |
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Vol. 110 |
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Relative camera pose estimation, Domain adaptation, Siamese architecture, Synthetic data, Multi-view environments |
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Abstract |
This paper presents a domain adaptation strategy to efficiently train network architectures for estimating the relative camera pose in multi-view scenarios. The network architectures are fed by a pair of simultaneously acquired
images, hence in order to improve the accuracy of the solutions, and due to the lack of large datasets with pairs of
overlapped images, a domain adaptation strategy is proposed. The domain adaptation strategy consists on transferring the knowledge learned from synthetic images to real-world scenarios. For this, the networks are firstly
trained using pairs of synthetic images, which are captured at the same time by a pair of cameras in a virtual environment; and then, the learned weights of the networks are transferred to the real-world case, where the networks are retrained with a few real images. Different virtual 3D scenarios are generated to evaluate the
relationship between the accuracy on the result and the similarity between virtual and real scenarios—similarity
on both geometry of the objects contained in the scene as well as relative pose between camera and objects in the
scene. Experimental results and comparisons are provided showing that the accuracy of all the evaluated networks for estimating the camera pose improves when the proposed domain adaptation strategy is used,
highlighting the importance on the similarity between virtual-real scenarios. |
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English |
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cidis @ cidis @ |
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147 |
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Author |
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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2021 |
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In Computers and Electronics in Agriculture Journal. (Article number 106287) |
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Vol. 187 |
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cidis @ cidis @ |
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159 |
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Author |
Michael Teutsch, Angel Sappa & Riad Hammoud |
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Title |
Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches |
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2021 |
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Synthesis Lectures on Computer Vision |
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Vol. 10 No. 2 |
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pp. 138 |
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cidis @ cidis @ |
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166 |
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