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Rafael E. Rivadeneira, Angel Domingo Sappa, Vintimilla B. X. and Hammoud R. |
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A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super- Resolution. |
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Journal Article |
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2022 |
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Sensors |
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Sensors |
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Vol. 22 |
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Issue 6 |
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no |
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cidis @ cidis @ |
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170 |
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Rubio Abel; Agila Wilton; González Leandro; Aviles Jonathan |
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Title |
A Numerical Model for the Transport of Reactants in Proton Exchange Fuel Cells |
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Conference Article |
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2023 |
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12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023 Oshawa 29 August – 1 September 2023 |
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273 - 278 |
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979-835033793-8 |
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cidis @ cidis @ |
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230 |
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Sara Nieto, Evelyn Mejia, Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe |
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Title |
A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning |
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Conference Article |
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Year |
2023 |
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International Conference on Geospatial Information Sciences, iGISc 2023 |
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no |
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cidis @ cidis @ |
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228 |
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Author |
Dennis G. Romero; A. Frizera; Angel D. Sappa; Boris X. Vintimilla; T.F. Bastos |
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Title |
A predictive model for human activity recognition by observing actions and context |
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Conference Article |
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2015 |
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ACIVS 2015 (Advanced Concepts for Intelligent Vision Systems), International Conference on, Catania, Italy, 2015 |
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323 - 333 |
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Edge width, Image blu,r Defocus map, Edge model |
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This paper presents a novel model to estimate human activities – a human activity is defined by a set of human actions. The proposed approach is based on the usage of Recurrent Neural Networks (RNN) and Bayesian inference through the continuous monitoring of human actions and its surrounding environment. In the current work human activities are inferred considering not only visual analysis but also additional resources; external sources of information, such as context information, are incorporated to contribute to the activity estimation. The novelty of the proposed approach lies in the way the information is encoded, so that it can be later associated according to a predefined semantic structure. Hence, a pattern representing a given activity can be defined by a set of actions, plus contextual information or other kind of information that could be relevant to describe the activity. Experimental results with real data are provided showing the validity of the proposed approach. |
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no |
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cidis @ cidis @ |
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43 |
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