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Author Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich pdf  doi
isbn  openurl
  Title Multi-modal Aerial View Image Challenge: SAR Classification Type Conference Article
  Year 2024 Publication (up) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 Abbreviated Journal  
  Volume Issue Pages 3105 - 3112  
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  ISSN ISBN 979-835036547-4 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 234  
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Author Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich pdf  doi
isbn  openurl
  Title Multi-modal Aerial View Image Challenge: Sensor Domain Translation Type Conference Article
  Year 2024 Publication (up) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 Abbreviated Journal  
  Volume Issue Pages 3096 - 3104  
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  ISSN ISBN 979-835036547-4 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 235  
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Author Rafael E. Rivadeneira, Angel D. Sappa and Riad Hammoud, Jiyong Rao, Hang Zhong, Yu Wang, Shengjie Zhao & et. openurl 
  Title Thermal Image Super- Resolution Challenge Results – PBVS 2025 Type Conference Article
  Year 2025 Publication (up) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025 Abbreviated Journal  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 274  
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Author Wassim El Ahmar, Angel D. Sappa and Riad Hammoud openurl 
  Title Thermal Pedestrian MultipleObject Tracking Challenge (TPMOT) Type Conference Article
  Year 2025 Publication (up) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025 Abbreviated Journal  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 275  
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Author Nathan Inkawhich, Claire Thorp, Justice Wheelwright, Oliver Nina, Dylan Bowald, Angel Sappa, Erik Blasch openurl 
  Title 4th Multi-modal Aerial View Image Challenge: SAR CLASSIFICATION – PBVS 2025 Type Journal Article
  Year 2025 Publication (up) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025 Abbreviated Journal  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 276  
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Author Dylan Bowald, Justice Wheelwright, Oliver Nina, Angel Sappa, Riad Hammoud, Erik Blasch, Nathan Inkawhich openurl 
  Title 3th Multi-modal Aerial View Image Challenge: Sensor Domain Translation – PBVS 2025 Type Conference Article
  Year 2025 Publication (up) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025 Abbreviated Journal  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 277  
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Author Lukas Danev; Marten Hamann; Nicolas Fricke; Tobias Hollarek; Dennys Paillacho pdf  openurl
  Title Development of animated facial expression to express emotions in a robot: RobotIcon. Type Conference Article
  Year 2017 Publication (up) IEEE Ecuador Technical Chapter Meeting (ETCM) Abbreviated Journal  
  Volume 2017-January Issue Pages 1-6  
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 71  
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Author Milton Mendieta; F. Panchana; B. Andrade; B. Bayot; C. Vaca; Boris X. Vintimilla; Dennis G. Romero pdf  openurl
  Title Organ identification on shrimp histological images: A comparative study considering CNN and feature engineering. Type Conference Article
  Year 2018 Publication (up) IEEE Ecuador Technical Chapters Meeting ETCM 2018. Cuenca, Ecuador Abbreviated Journal  
  Volume Issue Pages 1-6  
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  Abstract The identification of shrimp organs in biology using

histological images is a complex task. Shrimp histological images

poses a big challenge due to their texture and similarity among

classes. Image classification by using feature engineering and

convolutional neural networks (CNN) are suitable methods to

assist biologists when performing organ detection. This work

evaluates the Bag-of-Visual-Words (BOVW) and Pyramid-Bagof-

Words (PBOW) models for image classification leveraging big

data techniques; and transfer learning for the same classification

task by using a pre-trained CNN. A comparative analysis

of these two different techniques is performed, highlighting

the characteristics of both approaches on the shrimp organs

identification problem.
 
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 87  
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Author Raul A. Mira; Patricia L. Suarez; Rafael E. Rivadeneira; Angel D. Sappa pdf  openurl
  Title PETRA: A Crowdsourcing-Based Platform for Rocks Data Collection and Characterization Type Conference Article
  Year 2019 Publication (up) IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador Abbreviated Journal  
  Volume Issue Pages 1-6  
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  Abstract This paper presents details of a distributed platform intended for data acquisition, evaluation, storage and visualization, which is fully implemented under the crowdsourcing paradigm. The proposed platform is the result from collaboration between computer science and petrology researchers and it is intended for academic purposes. The platform is designed within a MTV (Model, Template and View) architecture and also designed for a collaborative data store and managing of rocks from multiple readers and writers, taking advantage of ubiquity of web applications, and neutrality of researchers from different

communities to validate the data. The platform is being used and validated by students and academics from our university; in the near future it will be open to other users interested on this topic.
 
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 112  
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Author Sebastián Fuenzalida; Keyla Toapanta; Jonathan S. Paillacho Corredores; Dennys Paillacho pdf  openurl
  Title Forward and Inverse Kinematics of a Humanoid Robot Head for Social Human Robot-Interaction Type Conference Article
  Year 2019 Publication (up) IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador Abbreviated Journal  
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  Abstract This paper presents an analysis of forward and inverse kinematics for a humanoid robotic head. The robotic head is used for the study of social human-robot interaction, such as a support tool to maintain the attention of patients with Autism Spectrum Disorder. The design of a parallel robot that emulates human head movements through a closed structure is presented. The position and orientation in this space is controlled by three servomotors. For this, the solutions made for the kinematic problem are encompassed by a geometric analysis of a mobile base. This article describes a non-systematic method,

called the geometric method, and compares some of the most popular existing methods considering reliability and computational cost. The geometric method avoids the use of changing reference systems, and instead uses geometric

relationships to directly obtain the position based on joint variables; and the other way around. Therefore, it converges in a few iterations and has a low computational cost.
 
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 113  
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