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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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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 151 | ||
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| Author | Rubio, G.A., Agila, W.E | ||||
| Title | A fuzzy model to manage water in polymer electrolyte membrane fuel cells | Type | Journal Article | ||
| Year | 2021 | Publication | In Processes Journal. (Article number 904) | Abbreviated Journal | |
| Volume | Vol. 9 | Issue | Issue 6 | Pages | |
| Keywords | PEM fuel cell, fuzzy, neural network, electrical response, flooding, drying. | ||||
| Abstract | In this paper, a fuzzy model is presented to determine in real-time the degree of dehydration or flooding of a proton exchange membrane of a fuel cell, to optimize its electrical response and consequently, its autonomous operation. By applying load, current and flux variations in the dry, normal, and flooded states of the membrane, it was determined that the temporal evolution of the fuel cell voltage is characterized by changes in slope and by its voltage oscillations. The results were validated using electrochemical impedance spectroscopy and show slope changes from 0.435 to 0.52 and oscillations from 3.6 mV to 5.2 mV in the dry state, and slope changes from 0.2 to 0.3 and oscillations from 1 mV to 2 mV in the flooded state. The use of fuzzy logic is a novelty and constitutes a step towards the progressive automation of the supervision, perception, and intelligent control of fuel cells, allowing them to reduce their risks and increase their economic benefits. | ||||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 153 | ||
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| Author | Luis Jacome-Galarza, Monica Villavicencio-Cabezas, Miguel Realpe-Robalino, Jose Benavides-Maldonado | ||||
| Title | Software Engineering and Distributed Computing in image processing intelligent systems: a systematic literature review. | Type | Conference Article | ||
| Year | 2021 | Publication | 19th LACCEI International Multi-Conference for Engineering, Education, and Technology | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | processing, software engineering, deep learning, intelligent vision systems, cloud computing. | ||||
| Abstract | Deep learning is experiencing an upward technology trend that is revolutionizing intelligent systems in several domains, such as image and speech recognition, machine translation, social network filtering, and the like. By reviewing a total of 80 studies reported from 2016 to 2020, the present article evaluates the application of software engineering to the field of intelligent image processing systems, it also offers insights about aspects related to distributed computing for this type of systems. Results indicate that several topics of software engineering are mostly applied when academics are involved in developing projects associated to this kind of intelligent systems. The findings provide evidences that Apache Spark is the most utilized distributed computing framework for image processing. In addition, Tensorflow is a popular framework used to build convolutional neural networks, which are the prevailing deep learning algorithms used in intelligent image processing systems. Also, among big cloud providers, Amazon Web Services is the preferred computing platform across the industry sectors, followed by Google cloud. |
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| Call Number | cidis @ cidis @ | Serial | 154 | ||
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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 | 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 | Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla | ||||
| Title | Cycle generative adversarial network: towards a low-cost vegetation index estimation | Type | Conference Article | ||
| Year | 2021 | Publication | IEEE International Conference on Image Processing (ICIP 2021) | Abbreviated Journal | |
| Volume | 2021-September | Issue | Pages | 2783-2787 | |
| Keywords | CyclicGAN, NDVI, near infrared spectra, instance normalization. | ||||
| Abstract | This paper presents a novel unsupervised approach to estimate the Normalized Difference Vegetation Index (NDVI).The NDVI is obtained as the ratio between information from the visible and near infrared spectral bands; in the current work, the NDVI is estimated just from an image of the visible spectrum through a Cyclic Generative Adversarial Network (CyclicGAN). This unsupervised architecture learns to estimate the NDVI index by means of an image translation between the red channel of a given RGB image and the NDVI unpaired index’s image. The translation is obtained by means of a ResNET architecture and a multiple loss function. Experimental results obtained with this unsupervised scheme show the validity of the implemented model. Additionally, comparisons with the state of the art approaches are provided showing improvements with the proposed approach. | ||||
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| Call Number | cidis @ cidis @ | Serial | 164 | ||
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| Author | Rafael E. Rivadeneira, Angel D. Sappa and Boris X. Vintimilla | ||||
| Title | Multi-Image Super-Resolution for Thermal Images. | Type | Conference Article | ||
| Year | 2022 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 | Abbreviated Journal | |
| Volume | 4 | Issue | Pages | 635 - 642 | |
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| Call Number | cidis @ cidis @ | Serial | 181 | ||
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| Author | Angel D. Sappa, Patricia L. Suárez, Henry O. Velesaca, Darío Carpio | ||||
| Title | Domain adaptation in image dehazing: exploring the usage of images from virtual scenarios. | Type | Conference Article | ||
| Year | 2022 | Publication | 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2022), julio 20-22 | Abbreviated Journal | |
| Volume | Issue | Pages | 85-92 | ||
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| Call Number | cidis @ cidis @ | Serial | 182 | ||
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| Author | Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. | ||||
| Title | Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends | Type | Journal Article | ||
| Year | 2021 | Publication | In Journal: Robotics and Autonomous Systems. (Article number 103832) | Abbreviated Journal | |
| Volume | Vol. 144 | Issue | Pages | ||
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| Call Number | cidis @ cidis @ | Serial | 158 | ||
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| Author | Velesaca, H.O., Suárez, P. L., Mira, R., & Sappa, A.D. | ||||
| Title | Computer Vision based Food Grain Classification: a Comprehensive Survey | Type | Journal Article | ||
| Year | 2021 | Publication | In Computers and Electronics in Agriculture Journal. (Article number 106287) | Abbreviated Journal | |
| Volume | Vol. 187 | Issue | Pages | ||
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| Call Number | cidis @ cidis @ | Serial | 159 | ||
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| Author | Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla | ||||
| Title | Human Pose Estimation through A Novel Multi-View Scheme | Type | Conference Article | ||
| Year | 2022 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 | Abbreviated Journal | |
| Volume | 5 | Issue | Pages | 855-862 | |
| Keywords | Multi-View Scheme, Human Pose Estimation, Relative Camera Pose, Monocular Approach | ||||
| Abstract | This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human pose estimation problem. The proposed approach first obtains the human body joints of a set of images, which are captured from different views at the same time. Then, it enhances the obtained joints by using a multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements in the accuracy of body joints estimations. |
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| Notes | Approved | yes | |||
| Call Number | cidis @ cidis @ | Serial | 169 | ||
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