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Author Sianna Puente; Cindy Madrid; Miguel Realpe; Boris X. Vintimilla pdf  openurl
  Title An Empirical Comparison of DCNN libraries to implement the Vision Module of a Danger Management System Type Conference Article
  Year 2017 Publication 2017 International Conference on Deep Learning Technologies (ICDLT 2017) Abbreviated Journal  
  Volume Part F128535 Issue Pages 60-65  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 56  
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Author Emmanuel Moran, Boris Vintimilla & Miguel Realpe url  doi
isbn  openurl
  Title Towards a Robust Solution for the Supermarket Shelf Audit Problem. Type Conference Article
  Year 2023 Publication 26th Iberoamerican Congress on Pattern Recognition (CIARP 2023) Coimbra 27-30 November 2023 Abbreviated Journal  
  Volume Vol. 14469 LNCS Issue Pages 257-271  
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  ISSN 03029743 ISBN 978-303149017-0 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 204  
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Author Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe pdf  isbn
openurl 
  Title UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review Type Conference Article
  Year 2023 Publication IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, 4-7 julio 2023 Abbreviated Journal  
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  ISSN ISBN 979-835033337-4 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 214  
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Author Sara Nieto, Evelyn Mejia, Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe pdf  openurl
  Title A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning Type Conference Article
  Year 2024 Publication Lecture Notes in Geoinformation and Cartography: 3rd International Conference on Geospatial Information Sciences, iGISc 2023 Ciudad de México 14-17 November 2023 Abbreviated Journal  
  Volume Issue Pages 147 - 158  
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  Call Number cidis @ cidis @ Serial 228  
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Author Tyrone Rodríguez, Adriana Guilindro, Paolo Piedrahita & Miguel Realpe pdf  url
openurl 
  Title Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning Type Conference Article
  Year 2025 Publication Lecture Notes in Networks and Systems: 9th International Congress on Information and Communication Technology ICICT 2024 London 19 – 22 Febrero 2024 Abbreviated Journal  
  Volume Vol. 1054 LNNS Issue Pages 45 - 57  
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  Call Number cidis @ cidis @ Serial 239  
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Author Henry O. Velesaca , Miguel Realpe, Angel D. Sappa & Alice Gomez openurl 
  Title Analysis of Hidden Patterns in Road Accident Dataset using Clustering Techniques Type Conference Article
  Year 2024 Publication 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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Author Luis Jacome-Galarza, Monica Villavicencio-Cabezas, Miguel Realpe-Robalino, Jose Benavides-Maldonado pdf  openurl
  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 (up) 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 Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic pdf  openurl
  Title Multi-sensor Fusion Module in a Fault Tolerant Perception System for Autonomous Vehicles Type Journal Article
  Year 2016 Publication Journal of Automation and Control Engineering (JOACE) Abbreviated Journal  
  Volume Vol. 4 Issue Pages pp. 430-436  
  Keywords Fault Tolerance, Data Fusion, Multi-sensor Fusion, Autonomous Vehicles, Perception System  
  Abstract (up) 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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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 51  
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Author Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic pdf  openurl
  Title 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 (up) 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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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 52  
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Author Alex Ferrin; Julio Larrea; Miguel Realpe; Daniel Ochoa pdf  openurl
  Title Detection of utility poles from noisy Point Cloud Data in Urban environments. Type Conference Article
  Year 2018 Publication Artificial Intelligence and Cloud Computing Conference (AICCC 2018) Abbreviated Journal  
  Volume Issue Pages 53-57  
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  Abstract (up) In recent years 3D urban maps have become more common, thus providing complex point clouds that include diverse urban furniture such as pole-like objects. Utility poles detection in urban environment is of particular interest for electric utility companies in order to maintain an updated inventory for better planning and management. The present study develops an automatic method for the detection of utility poles from noisy point cloud data of Guayaquil – Ecuador, where many poles are located next to buildings, or houses are built until the border of the sidewalk getting very close to poles, which increases the difficulty of discriminating poles, walls, columns, fences and building corners.  
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 94  
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