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Dennis G. Romero, A. F. N., & Teodiano Freire B. (2014). Reconocimiento en-línea de acciones humanas basado en patrones de RWE aplicado en ventanas dinámicas de momentos invariantes. Revista Iberoamericana de Automática e Informática industrial 00 (2014), Vol. 11, pp. 202–211.
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Dennys Paillacho, N. S., Michael Arce, María Plues & Edwin Eras. (2023). Advanced metrics to evaluate autistic children's attention and emotions from facial characteristics using a human robot-game interface. In Communications in Computer and Information Science. 11th Conferencia Ecuatoriana de Tecnologías de la Información y Comunicación (TICEC 2023) Cuenca 18-20 Octubre 2023 (Vol. Vol. 1885 CCIS, pp. 234–247).
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Roberto Jacome Galarza. (2022). Multimodal deep learning for crop yield prediction. In Doctoral Symposium on Information and Communication Technologies –DSICT 2022. Octubre 12-14. (Vol. 1647, pp. 106–117).
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Patricia Suarez, H. V., Dario Carpio, Angel Sappa, Patricia Urdiales, Francisca Burgos. (2022). Deep Learning based Shrimp Classification. In 17th International Symposium on Visual Computing, San Diego, USA, Octubre 3-5. Lecture Notes in Computer Science (LNCS) (Vol. 13598 LNCS, pp. 36–45).
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Patricia L. Suarez, D. C., Angel D. Sappa and Henry O. Velesaca. (2022). Transformer based Image Dehazing. In 16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. (pp. 148–154).
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Silva Steven, P. D., Verdezoto Nervo, Hernandez Juan David. (2022). TOWARDS ONLINE SOCIALLY ACCEPTABLE ROBOT NAVIGATION. In IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, (Vol. 2022-August, pp. 707–714).
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Ulises Gildardo Quiroz Antúnez, A. I. M. R., María Fernanda Calderón Vega, Adán Guillermo Ramírez García. (2022). APTITUDE OF COFFEE (COFFEA ARABICA L.) AND CACAO (THEOBROMA CACAO L.) CROPS CONSIDERING CLIMATE CHANGE. Granja, Vol. 36(Issue 2).
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Benítez-Quintero J., Q. - P. O., Calderon, Fernanda. (2022). Notes on Sulfur Fluxes in Urban Areas with Industrial Activity. In 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, (Vol. 2022-July).
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Luis Chuquimarca, B. V. & S. V. (2023). Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets. In Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) Lisbon, 19-21 Febrero 2023 (Vol. Vol. 5, pp. 536–543).
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Luis Chuquimarca, R. P., Paula Gonzalez, Boris Vintimilla & Sergio Velastin. (2023). Fruit defect detection using CNN models with real and virtual data. In 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) Lisbon 19-21 Febraury 2024 (Vol. Vol. 4, pp. 272–279).
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