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Henry Velesaca, B. V., Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez. (2024). Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems. In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024), .
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Tyrone Rodríguez, A. G., Paolo Piedrahita & Miguel Realpe. (2024). Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning. In In 9th International Congress on Information and Communication Technology ICICT 2024.
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Patricia Suarez, A. D. S. (2024). A Generative Model for Guided Thermal Image Super-Resolution. In In 19th International Conference on Computer Vision Theory and Applications VISAPP 2024.
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Henry Velesaca Lara, P. S., Darío Carpio & Angel Sappa. (2024). Fruit Grading based on Deep Learning and Active Vision System. In Accepted in CIIA – II International Conference of Applied Industrial Engineering.
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Henry Velesaca Lara, J. A. H. & J. M. G. (2024). Optimizing Smart Factory Operations: A Methodological Approach to Industrial System Implementation based on OPC-UA. In Accepted in CIIA – II International Conference of Applied Industrial Engineering.
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Patricia Suarez, A. S. (2024). Depth-Conditioned Thermal-like Image Generation. In Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS).
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Omar Coello, M. C., Darío Carpio, Boris X. Vintimilla & Luis Chuquimarca. (2024). Enhancing Apple’s Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging. In Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS).
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Luis Chuquimarca, B. X. V. & S. V. (2024). Classifying Healthy and Defective Fruits with a Siamese Architecture and CNN Models. In Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS).
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M. Diaz, Dennys Paillacho, C. Angulo, O. Torres, J. Gonzálalez, & J. Albo Canals. (2014). A Week-long Study on Robot-Visitors Spatial Relationships during Guidance in a Sciences Museum. In ACM/IEEE International Conference on Human-Robot Interaction (pp. 152–153).
Abstract: In order to observe spatial relationships in social human- robot interactions, a field trial was carried out within the CosmoCaixa Science Museum in Barcelona. The follow me episodes studied showed that the space configurations formed by guide and visitors walking together did not always fit the robot social affordances and navigation requirements to perform the guidance successfully, thus additional commu- nication prompts are considered to regulate effectively the walking together and follow me behaviors.
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Wilton Agila, & Victor M. Huilcapi. (2014). Lógica borrosa para la estimación de estados críticos de una pila de combustible PEM. In Reconocimientos de Patrones, Control Inteligente y Comunicaciones (MACH 2014) (Vol. 5). Universidad de Cuenca.
Abstract: La determinación en tiempo real de los estados críticos de operación de la pila de combustible de membrana intercambio protónico (siglas en ingles, PEM) es uno de los principales retos para los sistemas de control de pilas de combustible PEM. En este trabajo, se presenta el desarrollo e implementación de un método no invasivo de bajo coste basado en técnicas de decisión borrosa que permite estimar los estados críticos de operación de la pila de combustible PEM. La estimación se realiza mediante perturbaciones al estado de operación de la pila y el análisis posterior de la evolución temporal del voltaje generado por la pila. La implementación de esta técnica de estimulación-percepción de estado de la pila de combustible para la detección de estados críticos constituye una novedad y un paso hacia el control autónomo en óptimas condiciones de la operación de las pilas de combustible PEM.
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