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Abel Rubio, W. A., Leandro González & Jonathan Aviles-Cedeno. (2023). Distributed Intelligence in Autonomous PEM Fuel Cell Control. Energies 2023, Vol. 16(Issue 12).
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Abel Rubio, W. A., Leandro Gonzalez, Maria Ramirez, Herman Pineda. (2023). A Critical Analysis of the Impact of the Pandemic on Sustainable Energy Scenarios. In 11th International Conference On Smart Grid ICSMARTGRID 2023, junio 4-7.
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Armin Mehri, P. B., Dario Carpio, and Angel D. Sappa. (2023). SRFormer: Efficient Yet Powerful Transformer Network For Single Image Super Resolution. IEEE access, Vol. 11, 121457–121469.
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Armin Mehri, Parichehr Behjati, & Angel Domingo Sappa. (2023). TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution. IEEE Access, Vol. 11. Retrieved March 29, 2024, from http://dx.doi.org/10.1109/ACCESS.2023.3241852
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Boris Vintimilla, J. V., Henry Velesaca. (2023). Deep Learning-based Human Height Estimation from a Stereo Vision System. In IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, julio 4-7.
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Dennys Paillacho, N. S., Michael Arce, María Plues & Edwin Eras. (2023). Advanced metrics to evaluate autistic children's attention and emotions from facial characteristics using a humanrobot-game interface. In 11th Conferencia Ecuatoriana de Tecnologías de la Información y Comunicación TICEC 2023 (Vol. 1885, pp. 234–247).
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Emmanuel Moran Barreiro & Boris Vintimilla. (2023). Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves. In 26th Iberoamerican Congress on Pattern Recognition.
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Emmanuel Moran, B. V. & M. R. (2023). Towards a Robust Solution for the Supermarket Shelf Audit Problem. In 18th International Conference on Computer Vision Theory and Applications VISAPP 2023.
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Gisel Bastidas-Guacho, P. M. - V., Boris Vintimilla, Angel D. Sappa. (2023). Application on the Loop of Multimodal Image Fusion: Trends on Deep-Learning Based Approaches. In IEEE 13th International Conference on Pattern Recognition Systems ICPRS 2023, julio 4-7.
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Luis Chuquimarca, B. V. & S. V. (2023). Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets. In 18th International Conference on Computer Vision Theory and Applications VISAPP 2023.
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