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Author Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa url  doi
openurl 
  Title Corn Kernel Classification From Few Training Samples Type Journal Article
  Year 2023 Publication In journal Artificial Intelligence in Agriculture Abbreviated Journal  
  Volume Vol. 9 Issue Pages pp. 89-99  
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  ISSN 25897217 ISBN Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 223  
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Author Dennis G. Romero, Anselmo Frizera N., & Teodiano Freire B. pdf  url
openurl 
  Title Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes. Type Journal Article
  Year 2014 Publication Revista Iberoamericana de Automática e Informática industrial 00 (2014) Abbreviated Journal  
  Volume Vol. 11 Issue Pages pp. 202-211  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 220  
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Author Daniela Rato, Miguel Oliviera, Victor Santos, Manuel Gomes & Angel Sappa url  openurl
  Title A Sensor-to-Pattern Calibration Framework for Multi-Modal Industrial Collaborative Cells. Type Journal Article
  Year 2022 Publication Journal of Manufacturing Systems Abbreviated Journal  
  Volume Vol. 64 Issue Pages pp. 497-507  
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  Notes Approved yes  
  Call Number cidis @ cidis @ Serial 184  
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Author Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia url  doi
openurl 
  Title Dense extreme inception network for edge detection. Type Journal Article
  Year 2023 Publication Pattern Recognition Abbreviated Journal  
  Volume Vol. 139 Issue Pages  
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  ISSN 00313203 ISBN Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 216  
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Author Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla url  openurl
  Title Deep learning-based vegetation index estimation Type Book Chapter
  Year 2021 Publication Generative Adversarial Networks for Image-to-Image Translation Book. Abbreviated Journal  
  Volume Chapter 9 Issue Issue 2 Pages 205-232  
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  Call Number cidis @ cidis @ Serial 137  
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Author Carlos Monsalve; Alain April; Alain Abran pdf  url
openurl 
  Title BPM and requirements elicitation at multiple levels of abstraction: A review Type Conference Article
  Year 2011 Publication IADIS International Conference on Information Systems 2011 Abbreviated Journal  
  Volume Issue Pages 237-242  
  Keywords Business process modeling, levels of abstraction, requirements elicitation, requirements modeling, review  
  Abstract Business process models can be useful for requirements elicitation, among other things. Software development depends on the quality of the requirements elicitation activities, and so adequately modeling business processes (BPs) is critical. A key factor in achieving this is the active participation of all the stakeholders in the development of a shared vision of BPs.

Unfortunately, organizations often find themselves left with inconsistent BPs that do not cover all the stakeholders’ needs

and constraints. However, consolidation of the various stakeholder requirements may be facilitated through the use of multiple levels of abstraction (MLA). This article contributes to the research into MLA use in business process modeling (BPM) for software requirements by reviewing the theoretical foundations of MLA and their use in various BP-oriented approaches.
 
  Address CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL) Km. 30.5 vía Perimetral,  
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  Call Number cidis @ cidis @ Serial 15  
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Author Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic pdf  url
openurl 
  Title Sensor Fault Detection and Diagnosis for autonomous vehicles Type Conference Article
  Year 2015 Publication 2nd International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2015), International Conference on, Singapur, 2015 Abbreviated Journal  
  Volume 30 Issue MATEC Web of Conferences Pages 1-6  
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  Abstract In recent years testing autonomous vehicles on public roads has become a reality. However, before having autonomous vehicles completely accepted on the roads, they have to demonstrate safe operation and reliable interaction with other traffic participants. Furthermore, in real situations and long term operation, there is always the possibility that diverse components may fail. This paper deals with possible sensor faults by defining a federated sensor data fusion architecture. The proposed architecture is designed to detect obstacles in an autonomous vehicle’s environment while detecting a faulty sensor using SVM models for fault detection and diagnosis. Experimental results using sensor information from the KITTI dataset confirm the feasibility of the proposed architecture to detect soft and hard faults from a particular sensor.  
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  Publisher EDP Sciences Place of Publication Editor  
  Language English Summary Language English Original Title  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 42  
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Author Velesaca, Henry O.; Suárez, Patricia L.; Sappa, Angel D.; Carpio, Dario; Rivadeneira, Rafael E.; Sanchez, Angel url  openurl
  Title Review on Common Techniques for Urban Environment Video Analytics. Type Conference Article
  Year 2022 Publication WORKSHOP BRASILEIRO DE CIDADES INTELIGENTES (WBCI 2022) Abbreviated Journal  
  Volume Issue Porto Alegre: Sociedade Brasileira de Computação Pages 107-118  
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  Notes Approved yes  
  Call Number cidis @ cidis @ Serial 192  
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Author Emmanuel Moran Barreiro & Boris Vintimilla url  openurl
  Title Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves Type Conference Article
  Year 2023 Publication 26th Iberoamerican Congress on Pattern Recognition Abbreviated Journal  
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  Call Number cidis @ cidis @ Serial 222  
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Author Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Jin Kim, Dogun Kim et al. pdf  url
openurl 
  Title Thermal Image Super-Resolution Challenge Results- PBVS 2022. Type Conference Article
  Year 2022 Publication Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. Abbreviated Journal CONFERENCE  
  Volume 2022-June Issue Pages 349-357  
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  Abstract This paper presents results from the third Thermal Image

Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop.

The challenge uses the same thermal image dataset as the

first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was

kept aside for testing. The evaluation tasks were to measure

the PSNR and SSIM between the SR image and the ground

truth (HR thermal noisy image downsampled by four), and

also to measure the PSNR and SSIM between the SR image

and the semi-registered HR image (acquired with another

camera). The results outperformed those from last year’s

challenge, improving both evaluation metrics. This year,

almost 100 teams participants registered for the challenge,

showing the community’s interest in this hot topic.
 
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 175  
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