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Author Leo Thomas Ramos & Angel D. Sappa
Title Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery Type Journal Article
Year 2025 Publication (up) Scientific Reports Abbreviated Journal
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Call Number cidis @ cidis @ Serial 270
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Author Henry Velesaca Lara, Juan Antonio Holgado & José Miguel Gutiérrez
Title Optimizing Smart Factory Operations: A Methodological Approach to Industrial System Implementation based on OPC-UA Type Conference Article
Year 2024 Publication (up) Second International Conference of Applied Industrial Engineering: Intelligent Production Automation and its Sustainable Development (CIIA 2024) Guayaquil 28 – 30 May 2024 Abbreviated Journal
Volume Vol. 532 Issue Pages
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ISSN 25550403 ISBN Medium
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Call Number cidis @ cidis @ Serial 242
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Author Rafael E. Rivadeneira, Angel Domingo Sappa, Vintimilla B. X. and Hammoud R.
Title A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super- Resolution. Type Journal Article
Year 2022 Publication (up) Sensors Abbreviated Journal Sensors
Volume Vol. 22 Issue Issue 6 Pages
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Call Number cidis @ cidis @ Serial 170
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Author Cristhian A. Aguilera, Cristhian Aguilera, Cristóbal A. Navarro, & Angel D. Sappa
Title Fast CNN Stereo Depth Estimation through Embedded GPU Devices Type Journal Article
Year 2020 Publication (up) Sensors 2020 Abbreviated Journal
Volume Vol. 2020-June Issue 11 Pages pp. 1-13
Keywords stereo matching; deep learning; embedded GPU
Abstract Current CNN-based stereo depth estimation models can barely run under real-time

constraints on embedded graphic processing unit (GPU) devices. Moreover, state-of-the-art

evaluations usually do not consider model optimization techniques, being that it is unknown what is

the current potential on embedded GPU devices. In this work, we evaluate two state-of-the-art models

on three different embedded GPU devices, with and without optimization methods, presenting

performance results that illustrate the actual capabilities of embedded GPU devices for stereo depth

estimation. More importantly, based on our evaluation, we propose the use of a U-Net like architecture

for postprocessing the cost-volume, instead of a typical sequence of 3D convolutions, drastically

augmenting the runtime speed of current models. In our experiments, we achieve real-time inference

speed, in the range of 5–32 ms, for 1216  368 input stereo images on the Jetson TX2, Jetson Xavier,

and Jetson Nano embedded devices.
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ISSN 14248220 ISBN Medium
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Call Number cidis @ cidis @ Serial 132
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Author Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa
Title Feature Point Descriptors: Infrared and Visible Spectra Type Journal Article
Year 2014 Publication (up) Sensors Journal Abbreviated Journal
Volume Vol. 14 Issue Pages pp. 3690-3701
Keywords cross-spectral imaging; feature point descriptors
Abstract This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given.
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Call Number cidis @ cidis @ Serial 28
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Author Angel D. Sappa; Juan A. Carvajal; Cristhian A. Aguilera; Miguel Oliveira; Dennis G. Romero; Boris X. Vintimilla
Title Wavelet-Based Visible and Infrared Image Fusion: A Comparative Study Type Journal Article
Year 2016 Publication (up) Sensors Journal Abbreviated Journal
Volume Vol. 16 Issue Pages pp. 1-15
Keywords image fusion; fusion evaluation metrics; visible and infrared imaging; discrete wavelet transform
Abstract This paper evaluates different wavelet-based cross-spectral image fusion strategies adopted to merge visible and infrared images. The objective is to find the best setup independently of the evaluation metric used to measure the performance. Quantitative performance results are obtained with state of the art approaches together with adaptations proposed in the current work. The options evaluated in the current work result from the combination of different setups in the wavelet image decomposition stage together with different fusion strategies for the final merging stage that generates the resulting representation. Most of the approaches evaluate results according to the application for which they are intended for. Sometimes a human observer is selected to judge the quality of the obtained results. In the current work, quantitative values are considered in order to find correlations between setups and performance of obtained results; these correlations can be used to define a criteria for selecting the best fusion strategy for a given pair of cross-spectral images. The whole procedure is evaluated with a large set of correctly registered visible and infrared image pairs, including both Near InfraRed (NIR) and LongWave InfraRed (LWIR).
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Call Number cidis @ cidis @ Serial 47
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Author Viñán-Ludeña M.S., De Campos L.M., Roberto Jacome Galarza, & Sinche Freire, J.
Title Social media influence: a comprehensive review in general and in tourism domain Type Journal Article
Year 2020 Publication (up) Smart Innovation, Systems and Technologies. Abbreviated Journal
Volume 171, 2020 Issue Pages 25-35
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Call Number cidis @ cidis @ Serial 190
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Author Nayeth I. Solorzano, L. C. H., Leslie del R. Lima, Dennys F. Paillacho & Jonathan S. Paillacho
Title Visual Metrics for Educational Videogames Linked to Socially Assistive Robots in an Inclusive Education Framework Type Conference Article
Year 2022 Publication (up) Smart Innovation, Systems and Technologies. International Conference in Information Technology & Education (ICITED 21), julio 15-17 Abbreviated Journal
Volume 256 Issue Pages 119-132
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Abstract In gamification, the development of “visual metrics for educational

video games linked to social assistance robots in the framework of inclusive education” seeks to provide support, not only to regular children but also to children with specific psychosocial disabilities, such as those diagnosed with autism spectrum disorder (ASD). However, personalizing each child's experiences represents a limitation, especially for those with atypical behaviors. 'LOLY,' a social assistance robot, works together with mobile applications associated with the family of educational video game series called 'MIDI-AM,' forming a social robotic platform. This platform offers the user curricular digital content to reinforce the teaching-learning processes and motivate regular children and those with ASD. In the present study, technical, programmatic experiments and focus groups were carried out, using open-source facial recognition algorithms to monitor and evaluate the degree of user attention throughout the interaction. The objective is to evaluate the management of a social robot linked to educational video games

through established metrics, which allow monitoring the user's facial expressions

during its use and define a scenario that ensures consistency in the results for its applicability in therapies and reinforcement in the teaching process, mainly

adaptable for inclusive early childhood education.
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Call Number cidis @ cidis @ Serial 180
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Author Henry O. Velesaca, Doménica Carrasco, Angel D. Sappa, Juan A. Holgado-Terriza & Wilton Agila
Title Anomaly Detection in Industrial Systems: Classical vs. Deep Learning Approaches with OPC-UA integration Type Conference Article
Year 2024 Publication (up) SmartTech-IC 2024 4th International Conference on Smart Technologies, Systems and Applications Abbreviated Journal
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Call Number cidis @ cidis @ Serial 256
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Author Henry O. Velesaca , Miguel Realpe, Angel D. Sappa & Alice Gomez
Title Analysis of Hidden Patterns in Road Accident Dataset using Clustering Techniques Type Conference Article
Year 2024 Publication (up) SmartTech-IC 2024 4th International Conference on Smart Technologies, Systems and Applications Abbreviated Journal
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Call Number cidis @ cidis @ Serial 257
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