Author |
Title |
Year |
Publication |
Volume |
Pages |
Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. |
Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends |
2021 |
In Journal: Robotics and Autonomous Systems. (Article number 103832) |
Vol. 144 |
|
Rubio, G.A., Agila, W.E |
A fuzzy model to manage water in polymer electrolyte membrane fuel cells |
2021 |
In Processes Journal. (Article number 904) |
Vol. 9 |
|
Santos V.; Angel D. Sappa.; Oliveira M. & de la Escalera A. |
Special Issue on Autonomous Driving and Driver Assistance Systems |
2019 |
In Robotics and Autonomous Systems |
121 |
|
Victor Santos; Angel D. Sappa; Miguel Oliveira |
Special Issue on Autonomous Driving an Driver Assistance Systems |
2017 |
In Robotics and Autonomous Systems Journal |
Vol. 91 |
pp. 208-209 |
Cristhian A. Aguilera; Cristhian Aguilera; Angel D. Sappa |
Melamine faced panels defect classification beyond the visible spectrum. |
2018 |
In Sensors 2018 |
Vol. 11 |
|
Cristhian A. Aguilera; Angel D. Sappa; Ricardo Toledo |
Cross-Spectral Local Descriptors via Quadruplet Network |
2017 |
In Sensors Journal |
Vol. 17 |
pp. 873 |
Angel D. Sappa. |
ICT Applications for Smart Cities |
2022 |
Intelligent Systems Reference Library |
224 |
|
Roberto Jacome Galarza; Miguel-Andrés Realpe-Robalino; Chamba-Eras LuisAntonio; Viñán-Ludeña MarlonSantiago and Sinche-Freire Javier-Francisco |
Computer vision for image understanding. A comprehensive review |
2019 |
International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019); Quito, Ecuador |
|
248-259 |
Miguel Realpe; Jonathan S. Paillacho Corredores; Joe Saverio & Allan Alarcon |
Open Source system for identification of corn leaf chlorophyll contents based on multispectral images |
2019 |
International Conference on Applied Technologies (ICAT 2019); Quito, Ecuador |
|
572-581 |
Sara Nieto, Evelyn Mejia, Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe |
A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning |
2023 |
International Conference on Geospatial Information Sciences, iGISc 2023 |
|
|