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Author Xavier Soria; Angel D. Sappa; Riad Hammoud pdf  openurl
  Title Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059. Type Journal Article
  Year 2018 Publication (up) Abbreviated Journal  
  Volume Vol. 18 Issue Issue 7 Pages  
  Keywords  
  Abstract Multi-spectral RGB-NIR sensors have become ubiquitous in recent years. These sensors allow the visible and near-infrared spectral bands of a given scene to be captured at the same time. With such cameras, the acquired imagery has a compromised RGB color representation due to near-infrared bands (700–1100 nm) cross-talking with the visible bands (400–700 nm). This paper proposes two deep learning-based architectures to recover the full RGB color images, thus removing the NIR information from the visible bands. The proposed approaches directly restore the high-resolution RGB image by means of convolutional neural networks. They are evaluated with several outdoor images; both architectures reach a similar performance when evaluated in different scenarios and using different similarity metrics. Both of them improve the state of the art approaches.  
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 96  
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Author Ángel Morera, Ángel Sánchez, A. Belén Moreno, Angel D. Sappa, & José F. Vélez pdf  isbn
openurl 
  Title SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities. Type Journal Article
  Year 2020 Publication (up) Abbreviated Journal In Sensors  
  Volume Vol. 2020-August Issue 16 Pages pp. 1-23  
  Keywords object detection; urban outdoor panels; one-stage detectors; Single Shot MultiBox Detector (SSD); You Only Look Once (YOLO); detection metrics; object and scene imaging variabilities  
  Abstract This work compares Single Shot MultiBox Detector (SSD) and You Only Look Once (YOLO)

deep neural networks for the outdoor advertisement panel detection problem by handling multiple

and combined variabilities in the scenes. Publicity panel detection in images o ers important

advantages both in the real world as well as in the virtual one. For example, applications like Google

Street View can be used for Internet publicity and when detecting these ads panels in images, it could

be possible to replace the publicity appearing inside the panels by another from a funding company.

In our experiments, both SSD and YOLO detectors have produced acceptable results under variable

sizes of panels, illumination conditions, viewing perspectives, partial occlusion of panels, complex

background and multiple panels in scenes. Due to the diculty of finding annotated images for the

considered problem, we created our own dataset for conducting the experiments. The major strength

of the SSD model was the almost elimination of False Positive (FP) cases, situation that is preferable

when the publicity contained inside the panel is analyzed after detecting them. On the other side,

YOLO produced better panel localization results detecting a higher number of True Positive (TP)

panels with a higher accuracy. Finally, a comparison of the two analyzed object detection models

with di erent types of semantic segmentation networks and using the same evaluation metrics is

also included.
 
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  Language English Summary Language English Original Title  
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  ISSN ISBN 14248220 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 133  
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Author Dennys Paillacho, Nayeth Solórzano, Michael Arce, María Plues & Edwin Eras doi  isbn
openurl 
  Title Advanced metrics to evaluate autistic children's attention and emotions from facial characteristics using a humanrobot-game interface Type Conference Article
  Year 2023 Publication (up) 11th Conferencia Ecuatoriana de Tecnologías de la Información y Comunicación TICEC 2023 Abbreviated Journal  
  Volume 1885 Issue Pages 234 - 247  
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  Series Volume Series Issue Edition  
  ISSN 18650929 ISBN 978-303145437-0 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 221  
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Author Abel Rubio, Wilton Agila, Leandro Gonzalez, Maria Ramirez, Herman Pineda pdf  doi
isbn  openurl
  Title A Critical Analysis of the Impact of the Pandemic on Sustainable Energy Scenarios Type Conference Article
  Year 2023 Publication (up) 11th International Conference On Smart Grid ICSMARTGRID 2023, junio 4-7 Abbreviated Journal  
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  Series Volume Series Issue Edition  
  ISSN ISBN 979-835031066-5 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 209  
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Author Wilton Agila, Jonathan Aviles, Abel Rubio, Leandro Gonzalez pdf  doi
isbn  openurl
  Title Approximate Reasoning Techniques in the Control of States of Operation of the PEM Fuel Cell Type Conference Article
  Year 2023 Publication (up) 11th International Conference On Smart Grid ICSMARTGRID 2023, junio 4-7 Abbreviated Journal  
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  ISSN ISBN 979-835031066-5 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 208  
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Author Rubio Abel; Agila Wilton; González Leandro; Aviles Jonathan doi  isbn
openurl 
  Title A Numerical Model for the Transport of Reactants in Proton Exchange Fuel Cells Type Conference Article
  Year 2023 Publication (up) 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023 Oshawa 29 August – 1 September 2023 Abbreviated Journal  
  Volume Issue Pages 273 - 278  
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  Series Volume Series Issue Edition  
  ISSN ISBN 979-835033793-8 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 230  
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Author Wilton Agila, Gomer Rubio, Raul M. del Toro, Livington Miranda doi  isbn
openurl 
  Title Qualitative model for an oxygen therapy system based on Renewable Energy Type Conference Article
  Year 2023 Publication (up) 12th International Conference on Renewable Energy Research and Applications ICRERA 2023 Abbreviated Journal  
  Volume Issue Pages 365–371  
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  ISSN ISBN 979-835033793-8 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 219  
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla pdf  openurl
  Title Infrared Image Colorization based on a Triplet DCGAN Architecture. Type Conference Article
  Year 2017 Publication (up) 13th IEEE Workshop on Perception Beyond the Visible Spectrum – In conjunction with CVPR 2017. (This paper has been selected as “Best Paper Award” ) Abbreviated Journal  
  Volume 2017-July Issue Pages 212-217  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 62  
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Author Xavier Soria; Angel D. Sappa openurl 
  Title Improving Edge Detection in RGB Images by Adding NIR Channel. Type Conference Article
  Year 2018 Publication (up) 14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) Abbreviated Journal  
  Volume Issue Pages 266-273  
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 95  
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla pdf  openurl
  Title Cross-spectral image dehaze through a dense stacked conditional GAN based approach. Type Conference Article
  Year 2018 Publication (up) 14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) Abbreviated Journal  
  Volume Issue Pages 358-364  
  Keywords  
  Abstract This paper proposes a novel approach to remove haze from RGB images using a near infrared images based on a dense stacked conditional Generative Adversarial Network (CGAN). The architecture of the deep network implemented receives, besides the images with haze, its corresponding image in the near infrared spectrum, which serve to accelerate the learning process of the details of the characteristics of the images. The model uses a triplet layer that allows the independence learning of each channel of the visible spectrum image to remove the haze on each color channel separately. A multiple loss function scheme is proposed, which ensures balanced learning between the colors and the structure of the images. Experimental results have shown that the proposed method effectively removes the haze from the images. Additionally, the proposed approach is compared with a state of the art approach showing better results.  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number gtsi @ user @ Serial 92  
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