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Ulises Gildardo Quiroz Antúnez, Alejandro Ismael Monterroso Rivas, María Fernanda Calderón Vega, Adán Guillermo Ramírez García |
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Title |
APTITUDE OF COFFEE (COFFEA ARABICA L.) AND CACAO (THEOBROMA CACAO L.) CROPS CONSIDERING CLIMATE CHANGE |
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Journal Article |
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Year |
2022 |
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Granja |
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Vol. 36 |
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Issue 2 |
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cidis @ cidis @ |
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200 |
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Author |
Rafael E. Rivadeneira, Angel Domingo Sappa, Vintimilla B. X. and Hammoud R. |
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Title |
A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super- Resolution. |
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Journal Article |
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Year |
2022 |
Publication |
Sensors |
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Sensors |
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Vol. 22 |
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Issue 6 |
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cidis @ cidis @ |
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170 |
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Author |
Abel Rubio, Wilton Agila, Leandro González & Jonathan Aviles-Cedeno |
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Title |
Distributed Intelligence in Autonomous PEM Fuel Cell Control. |
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Journal Article |
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Year |
2023 |
Publication |
Energies 2023 |
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Vol. 16 |
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Issue 12 |
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19961073 |
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cidis @ cidis @ |
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217 |
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Author |
Dennis G. Romero, Anselmo Frizera N., & Teodiano Freire B. |
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Title |
Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes. |
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Journal Article |
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2014 |
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Revista Iberoamericana de Automática e Informática industrial 00 (2014) |
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Vol. 11 |
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pp. 202-211 |
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cidis @ cidis @ |
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220 |
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Author |
Armin Mehri; Parichehr Behjati; Angel Domingo Sappa |
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Title |
TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution. |
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Journal Article |
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Year |
2023 |
Publication |
IEEE Access |
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Volume |
Vol. 11 |
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Pages |
pp. 11529-11540 |
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21693536 |
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no |
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Call Number |
cidis @ cidis @ |
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207 |
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Author |
Armin Mehri, Parichehr Behjati, Dario Carpio, and Angel D. Sappa |
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Title |
SRFormer: Efficient Yet Powerful Transformer Network For Single Image Super Resolution |
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Journal Article |
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Year |
2023 |
Publication |
IEEE access |
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Volume |
Vol. 11 |
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Pages |
121457 - 121469 |
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21693536 |
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no |
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Call Number |
cidis @ cidis @ |
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227 |
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Author |
Michael Teutsch, Angel Sappa & Riad Hammoud |
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Title |
Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches |
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Journal Article |
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Year |
2021 |
Publication |
Synthesis Lectures on Computer Vision |
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Volume |
Vol. 10 No. 2 |
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Pages |
pp. 138 |
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no |
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Call Number |
cidis @ cidis @ |
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166 |
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Author |
Xavier Soria , Gonzalo Pomboza-Junez & Angel Sappa. |
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Title |
LDC: Lightweight Dense CNN for Edge Detection. |
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Journal Article |
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Year |
2022 |
Publication |
IEEE Access journal |
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Volume |
Vol. 10 |
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Pages |
pp. 68281-68290 |
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Approved |
yes |
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Call Number |
cidis @ cidis @ |
Serial |
183 |
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Author |
Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa |
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Title |
Corn Kernel Classification From Few Training Samples |
Type |
Journal Article |
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Year |
2023 |
Publication |
In journal Artificial Intelligence in Agriculture |
Abbreviated Journal |
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Volume |
Vol. 9 |
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Pages |
pp. 89-99 |
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25897217 |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
223 |
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Author |
Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla |
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Title |
Human Pose Estimation through A Novel Multi-View Scheme |
Type |
Conference Article |
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Year |
2022 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 |
Abbreviated Journal |
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Volume |
5 |
Issue |
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Pages |
855-862 |
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Keywords |
Multi-View Scheme, Human Pose Estimation, Relative Camera Pose, Monocular Approach |
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Abstract |
This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human
pose estimation problem. The proposed approach first obtains the human body joints of a set of images,
which are captured from different views at the same time. Then, it enhances the obtained joints by using a
multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from
another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed
for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and
comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements
in the accuracy of body joints estimations. |
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yes |
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Call Number |
cidis @ cidis @ |
Serial |
169 |
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