Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohammed Debakla"'
Publikováno v:
Computer Science Journal of Moldova, Vol 32, Iss 2(95), Pp 175-198 (2024)
Breast cancer is perceived as the most common cause of mortality among women globally. Early detection of this disease is critical to reduce significantly the possibility of death. Machine learning techniques have been proved to be efficient and very
Externí odkaz:
https://doaj.org/article/3bdade4f1d734cc79c15de7a10ca9090
Publikováno v:
International Journal of Computers and Applications. 45:1-7
One of emerging challenges in Medical image analysis is clustering. Fuzzy C-means (FCM) algorithm is one of the most popular clustering algorithms because it is efficient, straightforward, and easy...
Publikováno v:
International Journal of Grid and High Performance Computing. 10:15-42
This article describes how the idea of a hybrid cloud comes from the coupling of public and private clouds to more efficiently address user requirements. This article addresses the problem of resource provisioning in hybrid cloud. This article is mai
Publikováno v:
IET Image Processing
IET Image Processing, Institution of Engineering and Technology, 2019, 13 (13), pp.2395--2400. ⟨10.1049/iet-ipr.2018.6618⟩
IET Image Processing, 2019, 13 (13), pp.2395--2400. ⟨10.1049/iet-ipr.2018.6618⟩
IET Image Processing, Institution of Engineering and Technology, 2019, 13 (13), pp.2395--2400. ⟨10.1049/iet-ipr.2018.6618⟩
IET Image Processing, 2019, 13 (13), pp.2395--2400. ⟨10.1049/iet-ipr.2018.6618⟩
International audience; Image clustering is considered amongst the most important tasks in medical image analysis and it is regularly required as a starter and vital stage in the computer-aided medical image process. In brain magnetic resonance imagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17466e4fe7716ea12470cc741cd0122
https://hal.archives-ouvertes.fr/hal-02398567
https://hal.archives-ouvertes.fr/hal-02398567
Publikováno v:
International Journal of Internet Technology and Secured Transactions. 10:1
Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. At this scale, the characteristics of dynamicity, resource heterogeneity and scalability have made fault
Publikováno v:
Proc. of the 14th International Conference on Engineering Applications of Neural Networks (EANN 2013)
14th International Conference on Engineering Applications of Neural Networks (EANN 2013)
14th International Conference on Engineering Applications of Neural Networks (EANN 2013), Sep 2013, Halkidiki, Greece. pp.424--432, ⟨10.1007/978-3-642-41013-0_44⟩
Engineering Applications of Neural Networks ISBN: 9783642410123
EANN (1)
14th International Conference on Engineering Applications of Neural Networks (EANN 2013)
14th International Conference on Engineering Applications of Neural Networks (EANN 2013), Sep 2013, Halkidiki, Greece. pp.424--432, ⟨10.1007/978-3-642-41013-0_44⟩
Engineering Applications of Neural Networks ISBN: 9783642410123
EANN (1)
International audience; Neural network have seen an explosion of interest over the last years and have been successfully applied across an extraordinary range of problem domains such as medicine, engineering, geology, physique, biology and especially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfca21e7247563714700466b51eaaa3d
https://hal.archives-ouvertes.fr/hal-01054934
https://hal.archives-ouvertes.fr/hal-01054934
Publikováno v:
Asian Journal of Applied Sciences
Asian Journal of Applied Sciences, 2011, 4 (2), pp.101--111. ⟨10.3923/ajaps.2011.101.111⟩
Asian Journal of Applied Sciences, 2011, 4 (2), pp.101--111. ⟨10.3923/ajaps.2011.101.111⟩
International audience; The segmentation methods by active contour models have been widely used in recent years and have given great satisfaction in different applications. However, for a given application, the choice of appropriate model is difficul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e2d5cba9fb589e544a1e61e38ed1ea5
https://hal.science/hal-00646852
https://hal.science/hal-00646852