Patricia Suarez, A. D. S. (2024). A Generative Model for Guided Thermal Image Super-Resolution. In 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024 Rome 27 – 29 Febraury 2024 (Vol. Vol. 3: VISAPP, pp. 765–771).
|
Sara Nieto, E. M., Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe. (2024). A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning. In Lecture Notes in Geoinformation and Cartography: 3rd International Conference on Geospatial Information Sciences, iGISc 2023 Ciudad de México 14-17 November 2023 (pp. 147–158).
|
Luis Chuquimarca, B. V. & S. V. (2024). A Review of External Quality Inspection for Fruit Grading using CNN Models (Vol. Vol. 14).
|
Henry O. Velesaca, M. R., Angel D. Sappa & Alice Gomez. (2024). Analysis of Hidden Patterns in Road Accident Dataset using Clustering Techniques. In SmartTech-IC 2024 4th International Conference on Smart Technologies, Systems and Applications.
|
Henry O. Velesaca, J. A. H. - T., Doménica Carrasco, José Miguel Gutiérrez Guerrero, Tonny Toscano, Darío Carpio & Angel Sappa. (2024). Anomaly Detection in Industrial Production Products using OPC-UA and Deep Learning. In 13th International Conference on Data Science, Technology and Applications, DATA 2024 Dijon 9-11 July 2024 (pp. 505–512).
|
Henry O. Velesaca, D. C., Angel D. Sappa, Juan A. Holgado-Terriza & Wilton Agila. (2024). Anomaly Detection in Industrial Systems: Classical vs. Deep Learning Approaches with OPC-UA integration. In SmartTech-IC 2024 4th International Conference on Smart Technologies, Systems and Applications.
|
Merchan, J., Calderon, F., Broncano, E. Nicola, Daniella, Alava, Eduardo. (2024). Assessing Maize (Zea Mays) Biomass at Different Growth Stages: A UAV-Based Multispectral Study on Nitrogen Effects. In Effects Lecture Notes in Geoinformation and Cartography: 3rd International Conference on Geospatial Information Sciences, iGISc 2023 Ciudad de México 14-17 November 2023.
|
Luis Chuquimarca, B. X. V. & S. V. (2024). Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models. In 14th International Conference on Pattern Recognition Systems (ICPRS) Londres 15 – 18 July 2024.
|
Rafael Rivadeneira, H. V. & A. S. (2024). Cross-Spectral Image Registration: a Comparative Study and a New Benchmark Dataset. In Lecture Notes in Networks and Systems: 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) (Vol. Vol. 1117 LNNS, pp. 1–12).
|
Henry Velesaca, B. V., Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez. (2024). Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems. Lecture Notes in Networks and Systems: 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024), Vol. 1116 LNNS, 39–54.
|