Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jellouli Ismail"'
Autor:
El Guabassi, Inssaf, Bousalem, Zakaria, Al Achhab, Mohammed, JELLOULI, Ismail, EL Mohajir, Badr Eddine
Publikováno v:
In Procedia Computer Science 2018 127:444-453
Akademický článek
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Publikováno v:
International Journal of Organizational and Collective Intelligence. 12:1-17
The permanent acquisition of the technical environment state and the ability to react to changes in this environment as well as to adapt to it are nowadays crucial for any information system. In this article, the authors present a well-defined model
In this document we have presented a tool for expressing the adaptation needs of information systems. The initial objective is to provide a modeling environment allowing all adaptation elements to be integrated into the expression of adaptation needs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::876b8fed33481aaa2a722a7f13667447
Publikováno v:
International Journal of Computer Applications. 177:18-27
Publikováno v:
International Journal of Information Science and Technology, Vol 1, Iss 1, Pp 17-25 (2018)
Ubiquitous learning is a set of methods using new technologies to enhance learning and expand the traditional perspective of the learning process itself. In a broad sense, one of the main objectives of ubiquitous learning is to provide learners the r
Publikováno v:
International Journal of Computational Intelligence Studies; 2020, Vol. 9 Issue: 3 p220-233, 14p
Autor:
El Guabassi, Inssaf, Bousalem, Zakaria, Al Achhab, Mohammed, jellouli, Ismail, EL Mohajir, Badr Eddine
Publikováno v:
International Journal of Electrical & Computer Engineering (2088-8708); Oct2019 (Part II), Vol. 9 Issue 5, p4408-4416, 9p
Publikováno v:
International Journal of Emerging Technologies in Learning; 2018, Vol. 13 Issue 12, p177-190, 14p, 8 Diagrams, 5 Charts
Publikováno v:
CIST
Forecasting is an important activity in economics, finance, marketing and various other domains like environmental and social sciences. There are several methods for making forecasts, but they all fall into two categories: causal methods and time ser