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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla
Title (up) Learning Image Vegetation Index through a Conditional Generative Adversarial Network Type Conference Article
Year 2017 Publication 2nd IEEE Ecuador Tehcnnical Chapters Meeting (ETCM) Abbreviated Journal
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Call Number gtsi @ user @ Serial 70
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla
Title (up) Learning to Colorize Infrared Images Type Conference Article
Year 2017 Publication 15th International Conference on Practical Applications of Agents and Multi-Agent Systems Abbreviated Journal
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Call Number cidis @ cidis @ Serial 58
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Author Constantine Macías A., Toala Paz A., Realpe Miguel, Suárez Moncada Jenifer, Páez Rosas Diego & Jarrín Enrique Peláez
Title (up) Leveraging Deep Learning Techniques for Marine and Coastal Wildlife Using Instance Segmentation: A Study on Galápagos Sea Lions Type Journal Article
Year 2024 Publication In 8th Ecuador Technical Chapters Meeting (ETCM 2024) Cuenca, October 15 – October 18, 2024 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 269
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Author Leo Thomas Ramos & Angel D. Sappa
Title (up) Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery Type Journal Article
Year 2025 Publication Scientific Reports Abbreviated Journal
Volume Vol. 15 Issue Pages
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Call Number cidis @ cidis @ Serial 270
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Author Cristhian A. Aguilera; Angel D. Sappa; R. Toledo
Title (up) LGHD: A feature descriptor for matching across non-linear intensity variations Type Conference Article
Year 2015 Publication IEEE International Conference on, Quebec City, QC, 2015 Abbreviated Journal
Volume Issue Pages 178 - 181
Keywords Feature descriptor, multi-modal, multispectral, NIR, LWIR
Abstract This paper presents a new feature descriptor suitable to the task of matching features points between images with nonlinear intensity variations. This includes image pairs with significant illuminations changes, multi-modal image pairs and multi-spectral image pairs. The proposed method describes the neighbourhood of feature points combining frequency and spatial information using multi-scale and multi-oriented Log- Gabor filters. Experimental results show the validity of the proposed approach and also the improvements with respect to the state of the art.
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Publisher IEEE Place of Publication Quebec City, QC, Canada Editor
Language English Summary Language English Original Title
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Area Expedition Conference 2015 IEEE International Conference on Image Processing (ICIP)
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Call Number cidis @ cidis @ Serial 40
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Author Patricia Suarez & Angel D. Sappa
Title (up) Lightweight Architecture for Fruit Quality Estimation in the Infrared Domain Type Conference Article
Year 2025 Publication 5th International Conference on Innovations in Computational Intelligence and Computer Vision ICICV 2025 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 278
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Author Mehri, A, Ardakani, P.B., Sappa, A.D.
Title (up) LiNet: A Lightweight Network for Image Super Resolution Type Conference Article
Year 2021 Publication 25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 Abbreviated Journal
Volume Issue Pages 7196-7202
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Call Number cidis @ cidis @ Serial 149
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Author Wilton Agila; Victor M. Huilcapi
Title (up) Lógica borrosa para la estimación de estados críticos de una pila de combustible PEM Type Conference Article
Year 2014 Publication Reconocimientos de Patrones, Control Inteligente y Comunicaciones (MACH 2014) Abbreviated Journal
Volume 5 Issue Pages
Keywords Caracterización de pilas de combustible PEM, estado de inundación y deshidratación de la membrana polimérica, árbol de decisión borroso, control, lógica difusa
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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Publisher Universidad de Cuenca Place of Publication Editor
Language Español Summary Language Español Original Title
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Call Number cidis @ cidis @ Serial 31
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Author Dennys Paillacho; Nayeth I. Solorzano Alcivar; Jonathan S. Paillacho Corredores
Title (up) LOLY 1.0: A Proposed Human-Robot-Game Platform Architecture for the Engagement of Children with Autism in the Learning Process Type Book Chapter
Year 2021 Publication The international Conference on Systems and Information Sciences (ICCIS 2020), julio 27-29. Advances in Intelligent Systems and Computing. Abbreviated Journal
Volume 1273 Issue Pages 225-238
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ISSN 21945357 ISBN 978-303059193-9 Medium
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Call Number cidis @ cidis @ Serial 185
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Author Carlos Monsalve; Alain April and Alain Abran
Title (up) Measuring software functional size from business process models Type Journal Article
Year 2011 Publication International Journal of Software Engineering and Knowledge Engineering Abbreviated Journal
Volume Vol. 21 Issue Pages pp. 311–338
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Abstract ISO 14143-1 specifies that a functional size measurement (FSM) method must provide measurement procedures to quantify the functional user requirements (FURs) of software. Such quantitative information, functional size, is typically used, for instance, in software estimation. One of the international standards for FSM is the COSMIC FSM method — ISO 19761 — which was designed to be applied both to the business application (BA) software domain and to the real-time software domain. A recurrent problem in FSM is the availability and quality of the inputs required for measurement purposes; that is, well documented FURs. Business process (BP) models, as they are commonly used to gather requirements from the early stages of a project, could be a valuable source of information for FSM. In a previous article, the feasibility of such an approach for the BA domain was analyzed using the Qualigram BP modeling notation. This paper complements that work by: (1) analyzing the use of BPMN for FSM in the BA domain; (2) presenting notation-independent guidelines for the BA domain; and (3) analyzing the possibility of using BP models to perform FSM in the real-time domain. The measurement results obtained from BP models are compared with those of previous FSM case studies.
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Call Number cidis @ cidis @ Serial 19
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