Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alfonso Jose Lopez Rivero"'
Autor:
Alfonso Jose Lopez Rivero, Carlos Chinchilla Corbacho, Tatiana Romero Arias, Manuel Martin-Merino, Paulo Vaz
Publikováno v:
IEEE Access, Vol 12, Pp 160516-160528 (2024)
This paper presents a robust methodology for the early and cost-effective diagnosis of COVID-19 based on vocal features and machine learning techniques. The proposed methodology addresses all challenges inherent to the prediction of COVID-19, includi
Externí odkaz:
https://doaj.org/article/2c903ffdf4d14160baccc369e284d4a3
This book includes recent research on disruptive technologies, tech ethics, and artificial intelligence. Due to the important advances in technologies such as artificial intelligence, big data, the Internet of Things or bioinformatics produced in rec
Autor:
Alfonso José López Rivero, M. Encarnación Beato, César Muñoz Martínez, Pedro Gonzalo Cortiñas Vázquez
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 7, Pp 105-114 (2023)
In this paper, we present an empirical study on the perception of the ethical challenges of artificial intelligence groups in the classification made by the European Union (EU). The study seeks to identify the ethical principles that cause the greate
Externí odkaz:
https://doaj.org/article/e8a6dc857364437fa9752450b5b0fc51
Autor:
Manuel Martín Merino, Alfonso José López Rivero, Vidal Alonso, Marcelo Vallejo, Antonio Ferreras
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 6, Pp 6-13 (2022)
Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different clustering results. Choosing t
Externí odkaz:
https://doaj.org/article/9f0fa2ac2e7e4ae29184f16272ce671d
Autor:
Alfonso José López Rivero, Carlos Andrés Martínez Alayón, Roberto Ferro, Daniel Hernández de la Iglesia, Vidal Alonso Secades
Publikováno v:
Applied Sciences, Vol 10, Iss 21, p 7702 (2020)
This article presents the results obtained by analyzing the data traffic that originated in a system with intelligent soil moisture sensors (Wireless Sensor Network—WSN) that transmit through a wireless network. This study sought to integrate smart
Externí odkaz:
https://doaj.org/article/8d5ee71293a342d2825c7ccf1e9ba74e