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Henry O. Velesaca, J. A. H. - T., José Miguel Gutiérrez Guerrero, Tonny Toscano, Darío Carpio & Angel Sappa. (2024). Anomaly Detection in Industrial Production Products using OPC-UA and Deep Learning. In Accepted in 13th International Conference on Data Science, Technology and Applications (DATA)..
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Henry O. Velesaca, P. L. S., Dario Carpio, and Angel D. Sappa. (2021). Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy. In 16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science (Vol. 13017, pp. 131–143).
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Henry O. Velesaca, P. L. S., Dario Carpio, Rafael E. Rivadeneira, Ángel Sánchez, Angel D. Sappa. (2022). Video Analytics in Urban Environments: Challenges and Approaches. In ICT Applications for Smart Cities Part of the Intelligent Systems Reference Library book series (Vol. 224, pp. 101–122).
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Henry O. Velesaca, S. A., Patricia L. Suarez, Ángel Sanchez & Angel D. Sappa. (2020). Off-the-Shelf Based System for Urban Environment Video Analytics. In The 27th International Conference on Systems, Signals and Image Processing (IWSSIP 2020) (Vol. 2020-July, pp. 459–464).
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Henry O. Velesaca, Raul A. Mira, Patricia L. Suarez, Christian X. Larrea, & Angel D. Sappa. (2020). Deep Learning based Corn Kernel Classification. In The 1st International Workshop and Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture on the Conference Computer on Vision and Pattern Recongnition (CVPR 2020) (Vol. 2020-June, pp. 294–302).
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Henry Velesaca Lara, J. A. H. & J. M. G. (2024). Optimizing Smart Factory Operations: A Methodological Approach to Industrial System Implementation based on OPC-UA. In Accepted in CIIA – II International Conference of Applied Industrial Engineering.
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Henry Velesaca Lara, P. S., Darío Carpio & Angel Sappa. (2024). Fruit Grading based on Deep Learning and Active Vision System. In Accepted in CIIA – II International Conference of Applied Industrial Engineering.
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Henry Velesaca, B. V., Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez. (2024). Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems. In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024), .
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Jacome-Galarza L.-R. (2021). Crop yield prediction utilizing multimodal deep learning. In 16th Iberian Conference on Information Systems and Technologies, CISTI 2021, junio 23 – 26, 2021.
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Jacome-Galarza L.-R., R. R. M. - A., Paillacho Corredores J., Benavides Maldonado J.-L. (2022). Time series in sensor data using state of the art deep learning approaches: A systematic literature review. In VII International Conference on Science, Technology and Innovation for Society (CITIS 2021), mayo 26-28.  Smart Innovation, Systems and Technologies. (Vol. 252, pp. 503–514).
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