Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Mimoun Malki"'
New Exploration/Exploitation Improvements of GWO for Robust Control of a Nonlinear Inverted Pendulum
Publikováno v:
Inteligencia Artificial, Vol 26, Iss 72 (2023)
Tuning a nonlinear inverted pendulum is a complex and uncertain optimization problem. In this paper, we develop two new GWO variants by introducing a DLH (Dimension Learning-based Hunting) module and new formulas to enhance the exploitation/explorati
Externí odkaz:
https://doaj.org/article/990f1d323fe94303ba103ee1776e2368
Publikováno v:
International Journal of Networked and Distributed Computing (IJNDC), Vol 2, Iss 1 (2014)
Web services have become the main paradigm for the development of distributed software systems using a common set of technologies, including SOAP, WSDL and UDDI. This allows accessing to software components residing on different platforms and written
Externí odkaz:
https://doaj.org/article/258916e5a6504a3297a0a63cbdc3bd70
Autor:
Abdelmadjid, Larbi, Mimoun, Malki
Publikováno v:
In Procedia Computer Science 2022 198:317-322
Publikováno v:
Journal of Information Technology Research. 15:1-19
Recently, many methods have appeared to solve the problem of the evolution of alignment under the change of ontologies. The main challenge for them is to maintain consistency of alignment after applying the change. An alignment is consistent if and o
Autor:
Mimoun MALKI, LARBI Abdelmadjid
Publikováno v:
Procedia Computer Science. 198:317-322
Publikováno v:
2022 First International Conference on Big Data, IoT, Web Intelligence and Applications (BIWA).
Publikováno v:
International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022) ISBN: 9783031184086
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9c53a443725ac9c9fc2703c03de8c00
https://doi.org/10.1007/978-3-031-18409-3_2
https://doi.org/10.1007/978-3-031-18409-3_2
Publikováno v:
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).
Publikováno v:
International Journal of Web Services Research. 17:1-14
Data mashups are web applications that combine complementary (raw) data pieces from different data services or web data APIs to provide value added information to users. They became so popular over the last few years; their applications are numerous
Publikováno v:
Advances in Computing Systems and Applications ISBN: 9783031120961
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e8b551166fc42043b0d7c526da65ee6
https://doi.org/10.1007/978-3-031-12097-8_10
https://doi.org/10.1007/978-3-031-12097-8_10