Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Martin Lopez-Nores"'
Autor:
Luis Javier Serpa-Andrade, Jose Juan Pazos-Arias, Martin Lopez-Nores, Vladimir Espartaco Robles-Bykbaev
Publikováno v:
IEEE Access, Vol 9, Pp 77920-77929 (2021)
Assessing the acquisition of pre-writing skills in children with and without special educational needs is a time-consuming task for educators and therapists. It also involves a level of subjectivity, because the same set of strokes may receive differ
Externí odkaz:
https://doaj.org/article/e6c9d9a1d37f4c809a11a85fc39eddf8
Autor:
Luis Fernando Guerrero-Vasquez, Vladimir Espartaco Robles-Bykbaev, Martin Lopez-Nores, Jack Fernando Bravo-Torres, Henry J. Jara-Quito, Manuel A. Tapia-Vintimilla, Jose Juan Pazos-Arias, Alberto Gil-Solla
Publikováno v:
IEEE Access, Vol 8, Pp 168456-168469 (2020)
Avatars have been found to be useful tools to overcome communication barriers in people affected by Autistic Spectrum Disorders (ASD) and to help them understand and express emotions. However, it has been shown that the success of the interactions is
Externí odkaz:
https://doaj.org/article/3dcba6d7a6e34f13b41e32a8f76bad8c
Autor:
Alexander V. Medina-Carrion, Esteban F. Ordonez-Morales, Martin. Lopez-Nores, Jack F. Bravo-Torres
Publikováno v:
2022 IEEE 40th Central America and Panama Convention (CONCAPAN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d847adf449b54e4936fe8acd7c93a9
https://doi.org/10.1109/concapan48024.2022.9997797
https://doi.org/10.1109/concapan48024.2022.9997797
Autor:
Lorena González-Castro, Marcela Chávez, Patrick Duflot, Valérie Bleret, Guilherme Del Fiol, Martín López-Nores
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5909 (2024)
Accurate and early prediction of breast cancer recurrence is crucial to guide medical decisions and treatment success. Machine learning (ML) has shown promise in this domain. However, its effectiveness critically depends on proper hyperparameter sett
Externí odkaz:
https://doaj.org/article/d0fe706f11dd46c6b5f4bd7b48036b64
Autor:
Menna Maged Kamel, Alberto Gil-Solla, Luis Fernando Guerrero-Vásquez, Yolanda Blanco-Fernández, José Juan Pazos-Arias, Martín López-Nores
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10623 (2023)
Cultural heritage is one of many fields that has seen a significant digital transformation in the form of digitization and asset annotations for heritage preservation, inheritance, and dissemination. However, a lack of accurate and descriptive metada
Externí odkaz:
https://doaj.org/article/aff7cf16d5ee44f78791b76319df6787
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 14 (2023)
Cultural heritage is a domain that produces vast amounts of data, but it is also where the meaning of the data is crucially important, particularly to the extent that it refers to people’s opinions, perceptions, and interpretations of their past an
Externí odkaz:
https://doaj.org/article/aa0448c03fca43c7a8f174aa1ff91a51
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9804 (2022)
The European Union is investing in the areas of digital skills, digital infrastructures, digitisation of businesses, and public services to speed up numerous administrative processes and to facilitate access to citizens from member countries and neig
Externí odkaz:
https://doaj.org/article/81bb50be1d5b43fe8727017fb8a503fd
Publikováno v:
Sensors, Vol 21, Iss 13, p 4544 (2021)
The forecast of electricity demand has been a recurrent research topic for decades, due to its economical and strategic relevance. Several Machine Learning (ML) techniques have evolved in parallel with the complexity of the electric grid. This paper
Externí odkaz:
https://doaj.org/article/dc0e4505e403416fb2ddf8eb3caebc80
Autor:
Esteban Fernando Ordóñez-Morales, Martín López-Nores, Yolanda Blanco-Fernández, Efren Patricio Reinoso-Mendoza, Jack Fernando Bravo-Torres, José Víctor Saiáns-Vázquez, José Juan Pazos-Arias, Manuel Ramos-Cabrer, Alberto Gil-Solla
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
Current approaches to Cloud-based Mobile Augmentation (CMA) leverage (cloud-based) resources to meet the requirements of rich mobile applications, so that a terminal (the so-called application node or AppN) can borrow resources lent by a set of colla
Externí odkaz:
https://doaj.org/article/176c7572779a439eb2380d5a23d3cd11