Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Isaac Lera"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 2471-2487 (2022)
This paper presents a method that generates a hierarchical user mobility model from the analysis of the data available from Wi-Fi connections. The data obtained from the Wi-Fi infrastructure is defined in terms of the coverage areas of the access poi
Externí odkaz:
https://doaj.org/article/79f445fe2c1a4977a1288dc8d97d8c45
Publikováno v:
International Journal for Quality Research, Vol 13, Iss 1, Pp 131-144 (2019)
Curricula vitae are widely used as the main mechanisms for evaluation of researchers. They also reflect a fraction of the data about the research activity of an organization and geographic area. The nature of the academic world causes researchers to
Externí odkaz:
https://doaj.org/article/87f2525f22f64f988e4ad06bb2cdac72
Publikováno v:
IEEE Access, Vol 7, Pp 91745-91758 (2019)
Fog computing is a paradigm that extends the cloud to intermediate network devices with computational and storage capacities. This allows the execution of applications closer to edge devices and end-users by allocating services in those intermediate
Externí odkaz:
https://doaj.org/article/f6d242a970374ff2a7f946fa13273355
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0177712 (2017)
The exploitation of high volume of geolocalized data from social sport tracking applications of outdoor activities can be useful for natural resource planning and to understand the human mobility patterns during leisure activities. This geolocalized
Externí odkaz:
https://doaj.org/article/85d8583841ac45799548c6c008c640f2
Publikováno v:
Revista d'Innovació i Recerca en Educació, Vol 15, Iss 2 (2022)
Introducción: La crisis sanitaria generada por la COVID-19 tuvo importantes repercusiones a todos los niveles y supuso diversos retos educativos, siendo el más relevante la suspensión de clases presenciales. El objetivo principal de este trabajo e
Externí odkaz:
https://doaj.org/article/c51941a4f0154bbf9376bd92e0984b66
Fog computing is a new computational paradigm that emerged from the need to reduce network usage and latency in the Internet of Things (IoT). Fog can be considered as a continuum between the cloud layer and IoT users that allows the execution of appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2769b140a0bc9484b60d0064bcc3ea31
http://arxiv.org/abs/2112.01958
http://arxiv.org/abs/2112.01958
Publikováno v:
Journal of Software: Evolution and Process. 34
Publikováno v:
Future Generation Computer Systems. 97:131-144
This study compares three evolutionary algorithms for the problem of fog service placement: weighted sum genetic algorithm (WSGA), non-dominated sorting genetic algorithm II (NSGA-II), and multiobjective evolutionary algorithm based on decomposition
Publikováno v:
IEEE Latin America Transactions. 17:1155-1162
The use of Cloud computing for the development of Internet of Things (IoT) applications has emerged during the last years. But there is a lack of a platform which facilitates the deployment and the interoperability of this type of applications. This
Publikováno v:
IEEE Internet of Things Journal. 6:3641-3651
Fog computing extends the cloud to where things are by placing applications closer to the users and Internet of Things devices. The placement of those applications, or their services, has an important influence on the performance of the fog architect