| Records |
| Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
| Title |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. |
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Conference Article |
Year  |
2021 |
Publication |
In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 |
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2703-2712 |
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cidis @ cidis @ |
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148 |
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| Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
| Title |
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 |
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7196-7202 |
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no |
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cidis @ cidis @ |
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149 |
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| Author |
Jacome-Galarza L.-R |
| Title |
Crop yield prediction utilizing multimodal deep learning |
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Conference Article |
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2021 |
Publication |
16th Iberian Conference on Information Systems and Technologies, CISTI 2021, junio 23 – 26, 2021 |
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Agricultura de precisión; sensores remotos; aprendizaje profundo multimodal; IoT; agentes inteligentes; computación aplicada. |
| Abstract |
La agricultura de precisión es una práctica vital para
mejorar la producción de cosechas. El presente trabajo tiene
como objetivo desarrollar un modelo multimodal de aprendizaje
profundo que es capaz de producir un mapa de salud de
cosechas. El modelo recibe como entradas imágenes multiespectrales
y datos de sensores de campo (humedad,
temperatura, estado del suelo, etc.) y crea un mapa de
rendimiento de la cosecha. La utilización de datos multimodales
tiene como finalidad extraer patrones ocultos del estado de salud
de las cosechas y de esta manera obtener mejores resultados que
los obtenidos mediante los índices de vegetación. |
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Español |
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no |
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cidis @ cidis @ |
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150 |
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| Author |
Rivadeneira R.E., Sappa A.D., Vintimilla B.X., Nathan S., Kansal P., Mehri A et al. |
| Title |
Thermal Image Super-Resolution Challenge – PBVS 2021. |
Type |
Conference Article |
| Year |
2021 |
Publication |
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021., junio 19 – 25, 2021 |
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4354-4362 |
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cidis @ cidis @ |
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151 |
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| Author |
Luis C. Herrera, Leslie del R. Lima, Nayeth I. Solorzano, Jonathan S. Paillacho & Dennys Paillacho. |
| Title |
Metrics Design of Usability and Behavior Analysis of a Human-Robot-Game Platform. |
Type |
Conference Article |
| Year |
2021 |
Publication |
The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communication in Computer and Information Science |
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1388 |
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164-178 |
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cidis @ cidis @ |
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191 |
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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) |
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Vol. 9 |
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Issue 6 |
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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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English |
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cidis @ cidis @ |
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153 |
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| Author |
Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla |
| Title |
Cycle generative adversarial network: towards a low-cost vegetation index estimation |
Type |
Conference Article |
| Year |
2021 |
Publication |
IEEE International Conference on Image Processing (ICIP 2021) |
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2021-September |
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2783-2787 |
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CyclicGAN, NDVI, near infrared spectra, instance normalization. |
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This paper presents a novel unsupervised approach to estimate the Normalized Difference Vegetation Index (NDVI).The NDVI is obtained as the ratio between information from the visible and near infrared spectral bands; in the current work, the NDVI is estimated just from an image of the visible spectrum through a Cyclic Generative Adversarial Network (CyclicGAN). This unsupervised architecture learns to estimate the NDVI index by means of an image translation between the red channel of a given RGB image and the NDVI unpaired index’s image. The translation is obtained by means of a ResNET architecture and a multiple loss function. Experimental results obtained with this unsupervised scheme show the validity of the implemented model. Additionally, comparisons with the state of the art approaches are provided showing improvements with the proposed approach. |
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cidis @ cidis @ |
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164 |
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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 |
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Journal Article |
| Year |
2021 |
Publication |
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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| Author |
Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. |
| Title |
Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends |
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Journal Article |
| Year |
2021 |
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In Journal: Robotics and Autonomous Systems. (Article number 103832) |
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Vol. 144 |
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cidis @ cidis @ |
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158 |
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| Author |
Velesaca, H.O., Suárez, P. L., Mira, R., & Sappa, A.D. |
| Title |
Computer Vision based Food Grain Classification: a Comprehensive Survey |
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Journal Article |
| Year |
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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