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Author |
Jacome-Galarza L.-R |
Title |
Crop yield prediction utilizing multimodal deep learning |
Type |
Conference Article |
Year |
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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cidis @ cidis @ |
Serial |
150 |
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Author |
Angel D. Sappa, Patricia L. Suárez, Henry O. Velesaca, Darío Carpio |
Title |
Domain adaptation in image dehazing: exploring the usage of images from virtual scenarios. |
Type |
Conference Article |
Year |
2022 |
Publication  |
16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2022), julio 20-22 |
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85-92 |
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cidis @ cidis @ |
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182 |
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Author |
Rafael E. Rivadeneira; Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla. |
Title |
Thermal Image SuperResolution through Deep Convolutional Neural Network. |
Type |
Conference Article |
Year |
2019 |
Publication  |
16th International Conference on Image Analysis and Recognition (ICIAR 2019); Waterloo, Canadá |
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417-426 |
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Due to the lack of thermal image datasets, a new dataset has been acquired for proposed a superesolution approach using a Deep Convolution Neural Network schema. In order to achieve this image enhancement process a new thermal images dataset is used. Di?erent experiments have been carried out, ?rstly, the proposed architecture has been trained using only images of the visible spectrum, and later it has been trained with images of the thermal spectrum, the results showed that with the network trained with thermal images, better results are obtained in the process of enhancing the images, maintaining the image details and perspective. The thermal dataset is available at http://www.cidis.espol.edu.ec/es/dataset |
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gtsi @ user @ |
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103 |
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Author |
Patricia L. Suarez, Dario Carpio, Angel D. Sappa and Henry O. Velesaca |
Title |
Transformer based Image Dehazing. |
Type |
Conference Article |
Year |
2022 |
Publication  |
16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. |
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148-154 |
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cidis @ cidis @ |
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195 |
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Author |
Angel Morera; Angel Sánchez; Angel D. Sappa; José F. Vélez |
Title |
Robust Detection of Outdoor Urban Advertising Panels in Static Images. |
Type |
Conference Article |
Year |
2019 |
Publication  |
17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2019); Ávila, España. Communications in Computer and Information Science |
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Volume |
1047 |
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246-256 |
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Abstract |
One interesting publicity application for Smart City environments is recognizing brand information contained in urban advertising
panels. For such a purpose, a previous stage is to accurately detect and
locate the position of these panels in images. This work presents an effective solution to this problem using a Single Shot Detector (SSD) based
on a deep neural network architecture that minimizes the number of
false detections under multiple variable conditions regarding the panels and the scene. Achieved experimental results using the Intersection
over Union (IoU) accuracy metric make this proposal applicable in real
complex urban images. |
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gtsi @ user @ |
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107 |
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Author |
Rafael E. Rivadeneira, Henry O. Velesaca, Angel D. Sappa |
Title |
Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach |
Type |
Conference Article |
Year |
2023 |
Publication  |
17th International Conference On Signal Image Technology & Internet Based System, Bangkok, 8-10 November 2023 |
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311 - 318 |
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no |
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cidis @ cidis @ |
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224 |
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Author |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
Title |
Boosting Guided Super-Resolution Performance with Synthesized Images |
Type |
Conference Article |
Year |
2023 |
Publication  |
17th International Conference On Signal Image Technology & Internet Based Systems, Bangkok, 8-10 November 2023 |
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189 - 195 |
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no |
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cidis @ cidis @ |
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225 |
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Author |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
Title |
Depth Map Estimation from a Single 2D Image |
Type |
Conference Article |
Year |
2023 |
Publication  |
17th International Conference On Signal Image Technology & Internet Based Systems, Bangkok, 8-10 November 2023 |
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347-353 |
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no |
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cidis @ cidis @ |
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226 |
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Author |
Patricia Suarez, Henry Velesaca, Dario Carpio, Angel Sappa, Patricia Urdiales, Francisca Burgos |
Title |
Deep Learning based Shrimp Classification |
Type |
Conference Article |
Year |
2022 |
Publication  |
17th International Symposium on Visual Computing, San Diego, USA, Octubre 3-5. Lecture Notes in Computer Science (LNCS) |
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13598 LNCS |
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36-45 |
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cidis @ cidis @ |
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194 |
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Author |
Luis Chuquimarca, Renzo Pacheco, Paula Gonzalez, Boris Vintimilla & Sergio Velastin |
Title |
Fruit defect detection using CNN models with real and virtual data. |
Type |
Conference Article |
Year |
2023 |
Publication  |
18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) Lisbon 19-21 Febraury 2024 |
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Vol. 4 |
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272 - 279 |
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21845921 |
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cidis @ cidis @ |
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203 |
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