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Author Cristhian A. Aguilera; Cristhian Aguilera; Angel D. Sappa
Title Melamine faced panels defect classification beyond the visible spectrum. Type Journal Article
Year 2018 Publication In Sensors 2018 Abbreviated Journal
Volume (down) Vol. 11 Issue Issue 11 Pages
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Abstract In this work, we explore the use of images from different spectral bands to classify defects in melamine faced panels, which could appear through the production process. Through experimental evaluation, we evaluate the use of images from the visible (VS), near-infrared (NIR), and long wavelength infrared (LWIR), to classify the defects using a feature descriptor learning approach together with a support vector machine classifier. Two descriptors were evaluated, Extended Local Binary Patterns (E-LBP) and SURF using a Bag of Words (BoW) representation. The evaluation was carried on with an image set obtained during this work, which contained five different defect categories that currently occurs in the industry. Results show that using images from beyond

the visual spectrum helps to improve classification performance in contrast with a single visible spectrum solution.
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Call Number gtsi @ user @ Serial 89
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Author Dennis G. Romero, Anselmo Frizera N., & Teodiano Freire B.
Title Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes. Type Journal Article
Year 2014 Publication Revista Iberoamericana de Automática e Informática industrial 00 (2014) Abbreviated Journal
Volume (down) Vol. 11 Issue Pages pp. 202-211
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Call Number cidis @ cidis @ Serial 220
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Author Armin Mehri; Parichehr Behjati; Angel Domingo Sappa
Title TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution. Type Journal Article
Year 2023 Publication IEEE Access Abbreviated Journal
Volume (down) Vol. 11 Issue Pages pp. 11529-11540
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Call Number cidis @ cidis @ Serial 207
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Author Armin Mehri, Parichehr Behjati, Dario Carpio, and Angel D. Sappa
Title SRFormer: Efficient Yet Powerful Transformer Network For Single Image Super Resolution Type Journal Article
Year 2023 Publication IEEE access Abbreviated Journal
Volume (down) Vol. 11 Issue Pages 121457 - 121469
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ISSN 21693536 ISBN Medium
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Call Number cidis @ cidis @ Serial 227
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Author Michael Teutsch, Angel Sappa & Riad Hammoud
Title Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches Type Journal Article
Year 2021 Publication Synthesis Lectures on Computer Vision Abbreviated Journal
Volume (down) Vol. 10 No. 2 Issue Pages pp. 138
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Call Number cidis @ cidis @ Serial 166
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Author Xavier Soria , Gonzalo Pomboza-Junez & Angel Sappa.
Title LDC: Lightweight Dense CNN for Edge Detection. Type Journal Article
Year 2022 Publication IEEE Access journal Abbreviated Journal
Volume (down) Vol. 10 Issue Pages pp. 68281-68290
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Call Number cidis @ cidis @ Serial 183
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Author Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla
Title Deep learning-based vegetation index estimation Type Book Chapter
Year 2021 Publication Generative Adversarial Networks for Image-to-Image Translation Book. Abbreviated Journal
Volume (down) Chapter 9 Issue Issue 2 Pages 205-232
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Call Number cidis @ cidis @ Serial 137
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Author Rubio, G.A., Agila, W.E
Title A fuzzy model to manage water in polymer electrolyte membrane fuel cells Type Journal Article
Year 2021 Publication In Processes Journal. (Article number 904) Abbreviated Journal
Volume (down) Vol. 9 Issue Issue 6 Pages
Keywords PEM fuel cell, fuzzy, neural network, electrical response, flooding, drying.
Abstract In this paper, a fuzzy model is presented to determine in real-time the degree of dehydration or flooding of a proton exchange membrane of a fuel cell, to optimize its electrical response and consequently, its autonomous operation. By applying load, current and flux variations in the dry, normal, and flooded states of the membrane, it was determined that the temporal evolution of the fuel cell voltage is characterized by changes in slope and by its voltage oscillations. The results were validated using electrochemical impedance spectroscopy and show slope changes from 0.435 to 0.52 and oscillations from 3.6 mV to 5.2 mV in the dry state, and slope changes from 0.2 to 0.3 and oscillations from 1 mV to 2 mV in the flooded state. The use of fuzzy logic is a novelty and constitutes a step towards the progressive automation of the supervision, perception, and intelligent control of fuel cells, allowing them to reduce their risks and increase their economic benefits.
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Call Number cidis @ cidis @ Serial 153
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Author Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa
Title Corn Kernel Classification From Few Training Samples Type Journal Article
Year 2023 Publication In journal Artificial Intelligence in Agriculture Abbreviated Journal
Volume (down) Vol. 9 Issue Pages pp. 89-99
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ISSN 25897217 ISBN Medium
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Call Number cidis @ cidis @ Serial 223
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Author Wilton Agila; Victor M. Huilcapi
Title 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 (down) 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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