Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Pablo Moreno Ger"'
Autor:
Jannicke Madeleine Baalsrud Hauge, Ioana A. Stanescu, Sylvester Arnab, Pablo Moreno Ger, Theodore Lim, Angel Serrano-Laguna, Petros Lameras, Maurice Hendrix, Kristian Kiili, Manuel Ninaus, Sara de Freitas, Alessandro Mazzetti, Anders Dahlbom, Cristiana Degano
Publikováno v:
International Journal of Serious Games, Vol 2, Iss 1 (2015)
The challenge of delivering personalized learning experiences is often increased by the size of classrooms and online learning communities. Serious Games (SGs) are increasingly recognized for their potential to improve education. However, the issues
Externí odkaz:
https://doaj.org/article/8470ee68b2604d6798e9a266d0b97d68
Autor:
Pablo Moreno Ger, Pilar Sancho Thomas, Iván Martínez Ortiz, José Luis Sierra, Baltasar Fernández Manjón
Publikováno v:
Journal of Interactive Media in Education, Vol 2007, Iss 1 (2007)
In this paper, we propose three different ways of using IMS Learning Design to support online adaptive learning modules that include educational videogames. The first approach relies on IMS LD to support adaptation procedures where the educational ga
Externí odkaz:
https://doaj.org/article/113851d1566b46a7b285b41951e34bbf
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 2, Pp 38-46 (2023)
The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung abnormality. Tuberculosis (TB)
Externí odkaz:
https://doaj.org/article/a519fe1a4b104872bba8cc00c879a634
Publikováno v:
IETE Journal of Research. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6df7d3abeade8f92056f3f58ee3b4083
https://doi.org/10.1080/03772063.2023.2175060
https://doi.org/10.1080/03772063.2023.2175060
Autor:
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, Saima Jabeen, Seifedine Kadry, Pablo Moreno Ger
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-13
A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a variety of shapes, sizes, and features, with variable treatmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcb9f12e976b3fdcbe1fdc2e9607988e
https://doi.org/10.1155/2022/3236305
https://doi.org/10.1155/2022/3236305
Publikováno v:
IEEE Transactions on Learning Technologies. 15:2-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3bc73c81d15ad051376d086db33197
https://doi.org/10.1109/tlt.2022.3153174
https://doi.org/10.1109/tlt.2022.3153174
Publikováno v:
Learning Technologies and Systems ISBN: 9783031330223
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fceb3194addba36199c29aaa8b3f6ea6
https://doi.org/10.1007/978-3-031-33023-0_6
https://doi.org/10.1007/978-3-031-33023-0_6
Publikováno v:
2022 17th Iberian Conference on Information Systems and Technologies (CISTI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce136a3b521d0808408d7fc5db4da02e
https://doi.org/10.23919/cisti54924.2022.9820598
https://doi.org/10.23919/cisti54924.2022.9820598
Autor:
Juan Antonio Recio García, Pablo Moreno Ger, Gabriel Ricardo Vásquez Morales, Sergio Mauricio Martínez Monterrubio
The COVID-19 pandemic, which began in late 2019, has become a global public health problem, resulting in large numbers of infections and deaths. One of the greatest challenges in dealing with the disease is to identify those people who are most at ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e54b46ea5dbe81e007b037bc9b7246b
https://doi.org/10.21203/rs.3.rs-828089/v1
https://doi.org/10.21203/rs.3.rs-828089/v1
Autor:
Juan A. Recio-García, Gabriel R. Vásquez-Morales, Pablo Moreno-Ger, Sergio M. Martínez-Monterrubio
Publikováno v:
IEEE Access, Vol 7, Pp 152900-152910 (2019)
This paper presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD). The model is trained with the demographic data and medical care information of two population groups: on the one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bc024d09c8722c99fc2aec21842e9c1
https://doi.org/10.1109/access.2019.2948430
https://doi.org/10.1109/access.2019.2948430