Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mustafa M. Al-Sayed"'
Publikováno v:
IEEE Access, Vol 9, Pp 64895-64905 (2021)
These days, the classification between normal and cancerous tissues and between different types of cancers represents a very important issue. Selecting the little informative number of genes is considered the main challenge in the cancer diagnosis is
Externí odkaz:
https://doaj.org/article/0ae44927ace4470c955e94e71be1d84b
Publikováno v:
Arabian Journal for Science and Engineering. 47:2555-2572
In DNA microarray applications, many techniques are proposed for cancer classification in order to detect normal and cancerous humans or classify different types of cancers. Gene selection is usually required as a preliminary step for a cancer classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3978862a73ea250a739d369c15cdfcad
https://doi.org/10.1007/s13369-021-06102-8
https://doi.org/10.1007/s13369-021-06102-8
Autor:
Mustafa M. Al-Sayed
Publikováno v:
Journal of Grid Computing. 20
Dynamic resource allocation and auto-scaling represent effective solutions for many cloud challenges, such as over-provisioning (i.e., energy-wasting, and Service level Agreement “SLA” violation) and under-provisioning (i.e., Quality of Service
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3b668b64f42156252fb47c58ff80771
https://doi.org/10.1007/s10723-022-09607-0
https://doi.org/10.1007/s10723-022-09607-0
Publikováno v:
Journal of Parallel and Distributed Computing. 141:143-173
Recently, cloud computing becomes one of the main orientations of many researchers and companies in the IT area. Therefore, a huge number of cloud services have been developed. Because of the diversity and heterogeneity in providing these services, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4914aef9c61a38532622538a9ed53928
https://doi.org/10.1016/j.jpdc.2020.03.019
https://doi.org/10.1016/j.jpdc.2020.03.019
Publikováno v:
Future Generation Computer Systems. 106:438-466
Due to the heterogeneity nature and the huge number of published cloud services, as well as, the continuous increase of the users’ complexity demands, the discovery process of cloud services remains an open issue. According to our conducted compreh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f407a3a88dfe8646f93cd14dd2a90d2d
https://doi.org/10.1016/j.future.2019.12.027
https://doi.org/10.1016/j.future.2019.12.027
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030990787
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45134c5e5b722b60fc646f2281b201f0
https://doi.org/10.1007/978-3-030-99079-4_2
https://doi.org/10.1007/978-3-030-99079-4_2
Publikováno v:
Journal of Parallel and Distributed Computing. 96:163-171
Cloud computing allows for sharing computing resources, such as CPU, application platforms, and services. Monitoring these resources would benefit from an accurate prediction model that significantly reduces the network overhead caused by unnecessary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2d4710ff83c30574cdf5731c6c8a82c
https://doi.org/10.1016/j.jpdc.2016.04.012
https://doi.org/10.1016/j.jpdc.2016.04.012