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  Title (up) Type Conference Article
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  Notes Approved no  
  Call Number Serial 218  
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Author Angel J. Valencia; Roger M. Idrovo; Angel D. Sappa; Douglas Plaza G.; Daniel Ochoa pdf  openurl
  Title (up) A 3D Vision Based Approach for Optimal Grasp of Vacuum Grippers Type Conference Article
  Year 2017 Publication 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) Abbreviated Journal  
  Volume Issue Pages 1-6  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 60  
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Author Abel Rubio, Wilton Agila, Leandro Gonzalez, Maria Ramirez, Herman Pineda pdf  doi
isbn  openurl
  Title (up) A Critical Analysis of the Impact of the Pandemic on Sustainable Energy Scenarios Type Conference Article
  Year 2023 Publication 11th International Conference On Smart Grid ICSMARTGRID 2023, junio 4-7 Abbreviated Journal  
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  Series Volume Series Issue Edition  
  ISSN ISBN 979-835031066-5 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 209  
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Author Suarez Patricia; Carpio Dario; Sappa Angel D. pdf  isbn
openurl 
  Title (up) A Deep Learning Based Approach for Synthesizing Realistic Depth Maps Type Conference Article
  Year 2023 Publication Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 22nd International Conference on Image Analysis and Processing, ICIAP 2023 Udine 11 – 15 September 2023 Abbreviated Journal  
  Volume 14234 LNCS Issue Pages 369 - 380  
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  ISSN 03029743 ISBN 978-303143152-4 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 231  
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Author Angely Oyola; Dennis G. Romero; Boris X. Vintimilla pdf  openurl
  Title (up) A Dijkstra-based algorithm for selecting the Shortest-Safe Evacuation Routes in dynamic environments (SSER) Type Conference Article
  Year 2017 Publication The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017) Abbreviated Journal  
  Volume Issue Pages 131-135  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 55  
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Author Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic pdf  openurl
  Title (up) A Fault Tolerant Perception system for autonomous vehicles Type Conference Article
  Year 2016 Publication 35th Chinese Control Conference (CCC2016), International Conference on, Chengdu Abbreviated Journal  
  Volume Issue Pages 1-6  
  Keywords Fault Tolerant Perception, Sensor Data Fusion, Fault Tolerance, Autonomous Vehicles, Federated Architecture  
  Abstract Driverless vehicles are currently being tested on public roads in order to examine their ability to perform in a safe and reliable way in real world situations. However, the long-term reliable operation of a vehicle’s diverse sensors and the effects of potential sensor faults in the vehicle system have not been tested yet. This paper is proposing a sensor fusion architecture that minimizes the influence of a sensor fault. Experimental results are presented simulating faults by introducing displacements in the sensor information from the KITTI dataset.  
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  Language English Summary Language English Original Title  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 52  
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Author A. Amato; F. Lumbreras; Angel D. Sappa pdf  url
openurl 
  Title (up) A general-purpose crowdsourcing platform for mobile devices Type Conference Article
  Year 2014 Publication Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 Abbreviated Journal  
  Volume 3 Issue Pages 211-215  
  Keywords Crowdsourcing Platform, Mobile Crowdsourcing  
  Abstract This paper presents details of a general purpose micro-taskon-demand platform based on the crowdsourcing philosophy. This platformwas specifically developed for mobile devices in order to exploit the strengths of such devices; namely: i) massivity, ii) ubiquityand iii) embedded sensors.The combined use of mobile platforms and the crowdsourcing model allows to tackle from the simplest to the most complex tasks.Users experience is the highlighted feature of this platform (this fact is extended to both task-proposer and task- solver).Proper tools according with a specific task are provided to a task-solver in order to perform his/her job in a simpler, faster and appealing way.Moreover, a task can be easily submitted by just selecting predefined templates, which cover a wide range of possible applications.Examples of its usage in computer vision and computer games are provided illustrating the potentiality of the platform.  
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  Publisher IEEE Place of Publication Lisbon, Portugal Editor  
  Language English Summary Language English Original Title  
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  Area Expedition Conference Computer Vision Theory and Applications (VISAPP), 2014 International Conference on  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 25  
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Author Rubio Abel; Agila Wilton; González Leandro; Aviles Jonathan doi  isbn
openurl 
  Title (up) A Numerical Model for the Transport of Reactants in Proton Exchange Fuel Cells Type Conference Article
  Year 2023 Publication 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023 Oshawa 29 August – 1 September 2023 Abbreviated Journal  
  Volume Issue Pages 273 - 278  
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  ISSN ISBN 979-835033793-8 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 230  
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Author Sara Nieto, Evelyn Mejia, Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe openurl 
  Title (up) A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning Type Conference Article
  Year 2023 Publication International Conference on Geospatial Information Sciences, iGISc 2023 Abbreviated Journal  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 228  
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Author Dennis G. Romero; A. Frizera; Angel D. Sappa; Boris X. Vintimilla; T.F. Bastos pdf  url
openurl 
  Title (up) A predictive model for human activity recognition by observing actions and context Type Conference Article
  Year 2015 Publication ACIVS 2015 (Advanced Concepts for Intelligent Vision Systems), International Conference on, Catania, Italy, 2015 Abbreviated Journal  
  Volume Issue Pages 323 - 333  
  Keywords Edge width, Image blu,r Defocus map, Edge model  
  Abstract 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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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 43  
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