Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Zaki Brahmi"'
Publikováno v:
IEEE Access, Vol 11, Pp 62591-62604 (2023)
Advances in data collection, storage, and processing in e-Health systems have recently increased the importance and popularity of data mining in the health care field. However, the high sensitivity of the handled and shared data, brings a high risk o
Externí odkaz:
https://doaj.org/article/adf4377221ce497abb67b3091a63c697
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 2, Pp 342-353 (2022)
Cloud Computing (CC) proposes a multi-tenant framework used by multiple concurrent users, each of which exhibits different and varied behavior. Such heterogeneity shapes a highly fluctuating load and creates new usage patterns overtime at the server
Externí odkaz:
https://doaj.org/article/d960fb4354554d6abaa85685e3543246
Publikováno v:
Artificial Intelligence and Smart Environment ISBN: 9783031262531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f0b1ee9343543131302c7a71c3b344
https://doi.org/10.1007/978-3-031-26254-8_126
https://doi.org/10.1007/978-3-031-26254-8_126
Publikováno v:
International Journal of Intelligent Systems and Applications. 13:21-37
With the appearance of the COVID-19 pandemic, the practice of e-learning in the cloud makes it possible to: avoid the problem of overloading the institutions infrastructure resources, manage a large number of learners and improve collaboration and sy
Autor:
Zaki Brahmi, Afef Selmi
Publikováno v:
The Computer Journal.
In the next few years, the number of devices connected to the web will increase dramatically. This has encouraged the development of complexes and intelligent service-based applications using new paradigms and technologies such as edge computing and
Publikováno v:
Computational Science and Its Applications – ICCSA 2022 ISBN: 9783031105210
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8836bd6f1785b20329a655092b6495fe
https://doi.org/10.1007/978-3-031-10522-7_18
https://doi.org/10.1007/978-3-031-10522-7_18
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783031221361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9669fa2e64567f5d976a2f9ee39e7ed0
https://doi.org/10.1007/978-3-031-22137-8_12
https://doi.org/10.1007/978-3-031-22137-8_12
Publikováno v:
International Journal of Computing and Digital Systems. 8:317-332
Publikováno v:
KES
Intensive workflows require a lot of computational resources and massive data movement between Storage and Computing servers hosting these datasets and tasks. Moving these datasets among these servers may increase the execution time, generate a high
Publikováno v:
Computer Science Review. 44:100463