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Author Rosero Vasquez Shendry
Title Facial recognition: traditional methods vs. methods based on deep learning. Advances in Intelligent Systems and Computing – Information Technology and Systems Proceedings of ICITS 2020. Type Journal Article
Year 2020 Publication Abbreviated Journal
Volume Issue Pages 615-625
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Call Number cidis @ cidis @ Serial 145
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Author Viñán-Ludeña, M.S., Roberto Jacome Galarza, Montoya, L.R., Leon, A.V., & Ramírez, C.C.
Title Smart university: an architecture proposal for information management using open data for research projects. Type Journal Article
Year 2020 Publication Advances in Intelligent Systems and Computing Abbreviated Journal
Volume 1137 AISC, 2020 Issue Pages 172-178
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Notes Approved no
Call Number cidis @ cidis @ Serial 188
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Author Steven Silva, Dennys Paillacho., David Soque, María Guerra & Jonathan Paillacho
Title Autonomous Intelligent Navigation For Mobile Robots In Closed Environments. Type Conference Article
Year 2021 Publication The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communications in Computer and Information Science Abbreviated Journal
Volume 1388 Issue Pages 391-402
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Call Number cidis @ cidis @ Serial 187
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Author Charco, J.L., Sappa, A.D., Vintimilla, B.X., Velesaca, H.O.
Title Camera pose estimation in multi-view environments:from virtual scenarios to the real world Type Journal Article
Year 2021 Publication In Image and Vision Computing Journal. (Article number 104182) Abbreviated Journal
Volume Vol. 110 Issue Pages
Keywords Relative camera pose estimation, Domain adaptation, Siamese architecture, Synthetic data, Multi-view environments
Abstract This paper presents a domain adaptation strategy to efficiently train network architectures for estimating the relative camera pose in multi-view scenarios. The network architectures are fed by a pair of simultaneously acquired

images, hence in order to improve the accuracy of the solutions, and due to the lack of large datasets with pairs of

overlapped images, a domain adaptation strategy is proposed. The domain adaptation strategy consists on transferring the knowledge learned from synthetic images to real-world scenarios. For this, the networks are firstly

trained using pairs of synthetic images, which are captured at the same time by a pair of cameras in a virtual environment; and then, the learned weights of the networks are transferred to the real-world case, where the networks are retrained with a few real images. Different virtual 3D scenarios are generated to evaluate the

relationship between the accuracy on the result and the similarity between virtual and real scenarios—similarity

on both geometry of the objects contained in the scene as well as relative pose between camera and objects in the

scene. Experimental results and comparisons are provided showing that the accuracy of all the evaluated networks for estimating the camera pose improves when the proposed domain adaptation strategy is used,

highlighting the importance on the similarity between virtual-real scenarios.
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Publisher (up) Place of Publication Editor
Language English Summary Language English Original Title
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Notes Approved no
Call Number cidis @ cidis @ Serial 147
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Author Mehri, A, Ardakani, P.B., Sappa, A.D.
Title MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. Type Conference Article
Year 2021 Publication In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 Abbreviated Journal
Volume Issue Pages 2703-2712
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Notes Approved no
Call Number cidis @ cidis @ Serial 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 Abbreviated Journal
Volume Issue Pages 7196-7202
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Call Number cidis @ cidis @ Serial 149
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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 Abbreviated Journal
Volume Issue Pages
Keywords 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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Publisher (up) Place of Publication Editor
Language Español Summary Language Original Title
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Notes Approved no
Call Number cidis @ cidis @ Serial 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 Abbreviated Journal
Volume Issue Pages 4354-4362
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Call Number cidis @ cidis @ Serial 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 Abbreviated Journal
Volume 1388 Issue Pages 164-178
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Notes Approved no
Call Number cidis @ cidis @ Serial 191
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Author Juca Aulestia M., Labanda Jaramillo M., Guaman Quinche J., Coronel Romero E., Chamba Eras L., & Roberto Jacome Galarza
Title Open innovation at university: a systematic literature review Type Journal Article
Year 2020 Publication Advances in Intelligent Systems and Computing Abbreviated Journal
Volume 1159 AISC, 2020 Issue Pages 3-14
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Notes Approved no
Call Number cidis @ cidis @ Serial 189
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