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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).
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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.
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Gisel Bastidas-Guacho, P. M. - V., Boris Vintimilla, Angel D. Sappa. (2023). Application on the Loop of Multimodal Image Fusion: Trends on Deep-Learning Based Approaches. In IEEE 13th International Conference on Pattern Recognition Systems (ICPRS 2023) Guayaquil, 4-7 julio 2023.
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Gisel Bastidas G., P. M. V., Boris Vintimilla & Angel D. Sappa. (2025). Application-Guided Image Fusion: A Path to Improve Results in High-Level Vision Tasks. 20th International Conference on Computer Vision Theory and Applications VISIGRAPP 2025 Porto 26-28 Febrero 2025, Vol. 3, 178–187.
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Wilton Agila, J. A., Abel Rubio, Leandro Gonzalez. (2023). Approximate Reasoning Techniques in the Control of States of Operation of the PEM Fuel Cell. In 11th International Conference On Smart Grid (ICSMARTGRID 2023) Paris, 4-7 junio 2023.
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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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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.
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Steven Silva, D. P., David Soque, María Guerra & Jonathan Paillacho. (2021). Autonomous Intelligent Navigation For Mobile Robots In Closed Environments. In The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communications in Computer and Information Science (Vol. 1388, pp. 391–402).
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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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Miguel A. Murillo, J. E. A., & Miguel Realpe. (2021). Beyond visual and radio line of sight UAVs monitoring system through open software in a simulated environment. In The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communications in Computer and Information Science (Vol. 1388, pp. 629–642).
Abstract: The problem of loss of line of sight when operating drones has be-come a reality with adverse effects for professional and amateur drone opera-tors, since it brings technical problems such as loss of data collected by the de-vice in one or more instants of time during the flight and even misunderstand-ings of legal nature when the drone flies over prohibited or private places. This paper describes the implementation of a drone monitoring system using the In-ternet as a long-range communication network in order to avoid the problem of loss of communication between the ground station and the device. For this, a simulated environment is used through an appropriate open software tool. The operation of the system is based on a client that makes requests to a server, the latter in turn communicates with several servers, each of which has a drone connected to it. In the proposed system when a drone is ready to start a flight, its server informs the main server of the system, which in turn gives feedback to the client informing it that the device is ready to carry out the flight; this way customers can send a mission to the device and keep track of its progress in real time on the screen of their web application.
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