Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Mazouzi, Smaine"'
Publikováno v:
In Computer Methods and Programs in Biomedicine April 2023 232
Publikováno v:
Modeling Earth Systems and Environment; October 2024, Vol. 10 Issue: 5 p6449-6474, 26p
Autor:
Bennai, Mohamed T., Guessoum, Zahia *, Mazouzi, Smaine, Cormier, Stéphane, Mezghiche, Mohamed
Publikováno v:
In Artificial Intelligence In Medicine November 2020 110
Autor:
Bouchaour, Nadjet1 (AUTHOR) n.bouchaour@univ-skikda.dz, Mazouzi, Smaine1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Sep2022, Vol. 34 Issue 17, p14317-14326. 10p.
Publikováno v:
International Journal of Organizational and Collective Intelligence. 12:1-20
Typically, self-adaptation is achieved by implementing the MAPE-K Control Loop. The researchers agree that multiple control loops should be assigned if the system is complex and large-scale. The hierarchical control has proven to be a good compromise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74b74608f4c012e6ab25e3e68d74a9fd
https://doi.org/10.4018/ijoci.312226
https://doi.org/10.4018/ijoci.312226
Publikováno v:
International Journal of Computing & Digital Systems; Feb2024, Vol. 15 Issue 1, p937-946, 10p
Publikováno v:
International Journal of Intelligent Systems Technologies and Applications; 2024, Vol. 22 Issue: 1 p41-76, 36p
Autor:
Bouchaour, Nadjet, Mazouzi, Smaine
Publikováno v:
Pattern Recognition and Artificial Intelligence
It is still hard to deal with artifacts in magnetic resonance images (MRIs), particularly when the latter are to be segmented. This paper introduces a novel feature, namely the spatial entropy of intensity that allows a pattern-based representation w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::82a7bbadda541266aa94c6a99230777d
http://europepmc.org/articles/PMC7971988
http://europepmc.org/articles/PMC7971988
Publikováno v:
International Journal of Organizational and Collective Intelligence. 10:38-54
Self-adaptive systems (SASs) are controlled by autonomic manager (AM). This ensures the QoS of such complex systems within highly dynamic and unpredictable contexts. However, the massive integration of the adaptation abilities increased drastically t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21edce90c5fd9c36c54af9c9f99578e2
https://doi.org/10.4018/ijoci.2020070103
https://doi.org/10.4018/ijoci.2020070103
