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Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. (2021). Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends. In Journal: Robotics and Autonomous Systems. (Article number 103832), Vol. 144.
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Gomer Rubio, & Wilton Agila. (2018). Dynamic Modeling of Fuel Cells in a Strategic Context. In 7th International Conference on Renewable Energy Research and Applications, ICRERA 2018. Paris, Francia..
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Angel D. Sappa, P. L. S., Henry O. Velesaca, Darío Carpio. (2022). Domain adaptation in image dehazing: exploring the usage of images from virtual scenarios. In 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2022), julio 20-22 (pp. 85–92).
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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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Lukas Danev, Marten Hamann, Nicolas Fricke, Tobias Hollarek, & Dennys Paillacho. (2017). Development of animated facial expression to express emotions in a robot: RobotIcon. In IEEE Ecuador Technical Chapter Meeting (ETCM) (Vol. 2017-January, pp. 1–6).
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Ortiz J., Londono J., Novillo F., Ampuno A., & Chávez M. (2015). Determinación de Invariantes en Grandes Centros de Datos basados en Topología Fat-Tree. Revista Politécnica, Vol. 35, pp. 91–96.
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Alex Ferrin, Julio Larrea, Miguel Realpe, & Daniel Ochoa. (2018). Detection of utility poles from noisy Point Cloud Data in Urban environments. In Artificial Intelligence and Cloud Computing Conference (AICCC 2018) (pp. 53–57).
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Patricia Suarez, A. S. (2024). Depth-Conditioned Thermal-like Image Generation. In 14th International Conference on Pattern Recognition Systems (ICPRS) Londres 15 – 18 July 2024.
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Patricia L. Suarez, D. C., Angel Sappa. (2023). Depth Map Estimation from a Single 2D Image. In 17th International Conference On Signal Image Technology & Internet Based Systems, Bangkok, 8-10 November 2023 (pp. 347–353).
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Xavier Soria, Edgar Riba, & Angel D. Sappa. (2020). Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection. In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 1912–1921).
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