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Author Patricia L. Suárez & Angel D. Sappa pdf  openurl
  Title Edge-Aware Camouflaged Object Detection Type Conference Article
  Year 2026 Publication Lecture Notes in Computer Science. 21st International Conference on Computer Analysis of Images and Patterns, CAIP 2025, Las Palmas Gran Canaria 22-25 Septiembre 2025. Abbreviated Journal  
  Volume 15621 LNCS Issue Pages 197 - 208  
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  Call Number cidis @ cidis @ Serial 287  
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Author Henry O. Velesaca, Abel Reyes & Steven Araujo openurl 
  Title S-amba: A Multi-View Foul Recognition in Soccer Through a Mamba-Based Approach Type Conference Article
  Year 2025 Publication 13th International Conference on Sport Sciences Research and Technology Support, IcSPORTS 2025. Marbella 20 – 21 Octubre 2025 Abbreviated Journal  
  Volume Issue Pages 57 - 68  
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  Call Number cidis @ cidis @ Serial 288  
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Author Ramos, Leo Thomas & Sappa, Angel D. pdf  openurl
  Title A comprehensive analysis of YOLO architectures for tomato leaf disease identification Type Journal Article
  Year 2025 Publication Scientific Reports Abbreviated Journal  
  Volume Vol. 15 Issue 1 Pages  
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  Call Number cidis @ cidis @ Serial 289  
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Author Luis E. Chuquimarca, Boris X. Vintimilla & Sergio A. Velastin pdf  openurl
  Title Assessing deep learning model robustness for banana ripeness classification under varying illumination conditions Type Journal Article
  Year 2025 Publication Smart Agricultural Technology Abbreviated Journal  
  Volume Vol. 12 Issue Pages  
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  Call Number cidis @ cidis @ Serial 290  
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Author Armin Mehri, Parichehr Behjati, Dario Carpio, and Angel D. Sappa pdf  openurl
  Title Edge Craft Odyssey: Navigating Guided Super-Resolution with a Fast, Precise, and Lightweight Network Type Journal Article
  Year 2026 Publication Pattern Recognition Abbreviated Journal  
  Volume Vol.172, Part A Issue Pages  
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  Call Number cidis @ cidis @ Serial 291  
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Author Heny O. Velesaca, Andrea Mero, Anjali Singh, Angel Sappa openurl 
  Title The Hidden Cost of Poor Annotations: How Label Quality Affects Camouflaged Object Detection Performance Type Conference Article
  Year 2025 Publication 20th International Symposium on Visual Computing (ISVC 2025) Abbreviated Journal  
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  Call Number cidis @ cidis @ Serial 292  
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Author Henry O. Velesaca, Juan A. Holgado-Terriza and Jose M. Gutierrez-Guerrero pdf  openurl
  Title Industrial Process Automation Through Machine Learning and OPC-UA: A Systematic Literature Review Type Journal Article
  Year 2025 Publication Electronics Abbreviated Journal  
  Volume Vol. 14 Issue 18 Pages  
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  Call Number cidis @ cidis @ Serial 293  
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Author Leo Thomas Ramos & Angel D. Sappa pdf  openurl
  Title A Decade of You Only Look Once (YOLO) for Object Detection: A Review Type Journal Article
  Year 2025 Publication IEEE Access journal Abbreviated Journal  
  Volume 13 Issue Pages 192747 - 192794  
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  ISSN 21693536 ISBN Medium  
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  Call Number cidis @ cidis @ Serial 294  
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Author Leo Ramos & Angel D. Sappa openurl 
  Title A Decade of You Only Look Once (YOLO) for Object Detection: A Review Type Journal Article
  Year Publication A Decade of You Only Look Once (YOLO) for Object Detection: A Review Abbreviated Journal  
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  Call Number cidis @ cidis @ Serial 295  
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Author Miguel Oliveira; Vítor Santos; Angel D. Sappa; Paulo Dias; A. Paulo Moreira pdf  url
openurl 
  Title Incremental Texture Mapping for Autonomous Driving Type Journal Article
  Year 2016 Publication Robotics and Autonomous Systems Journal Abbreviated Journal  
  Volume Vol. 84 Issue Pages pp. 113-128  
  Keywords Scene reconstruction, Autonomous driving, Texture mapping  
  Abstract (up) Autonomous vehicles have a large number of on-board sensors, not only for providing coverage all around the vehicle, but also to ensure multi-modality in the observation of the scene. Because of this, it is not trivial to come up with a single, unique representation that feeds from the data given by all these sensors. We propose an algorithm which is capable of mapping texture collected from vision based sensors onto a geometric description of the scenario constructed from data provided by 3D sensors. The algorithm uses a constrained Delaunay triangulation to produce a mesh which is updated using a specially devised sequence of operations. These enforce a partial configuration of the mesh that avoids bad quality textures and ensures that there are no gaps in the texture. Results show that this algorithm is capable of producing fine quality textures.  
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  Call Number cidis @ cidis @ Serial 50  
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