Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Otman Manad"'
Publikováno v:
2022 Ninth International Conference on Software Defined Systems (SDS).
Autor:
Larbi Boubchir, Aissam Outchakoucht, Oussama Mounnan, Hamza Es-Samaali, Abdelkrim El Mouatasim, Otman Manad
Publikováno v:
IoTSMS
The cipher-text policy attribute-based encryption is a promising technique to ensure the security in the third trust parties environment and offers opportunities to their users. However, the policy updating becomes a challenging issue when we use CP-
Autor:
Noureddine Idboufker, Otman Manad, Anas Abou El Kalam, Oussama Mounnan, Tarik Hidar, Abdelkrim El Mouatasim
Publikováno v:
FMEC
Fog computing is a new distributed computing paradigm that extends the cloud to the network edge. Fog computing aims at improving quality of service, data access, networking, computation and storage. However, the security and privacy issues persist,
Publikováno v:
AICCSA
The aim of sentiment analysis, known as opinion mining, is to discover subjective information by understanding the meaning over public opinions, standpoints and attitudes from the shared text, such as consumers feedback, which focuses on automated to
Publikováno v:
Pervasive Systems, Algorithms and Networks ISBN: 9783030301422
I-SPAN
I-SPAN
Recently, containers have been used extensively in the cloud computing field, and several frameworks have been proposed to schedule containers using a scheduling strategy. The main idea of the different scheduling strategies consist to select the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1e3eaa79b96055dada095dddaca8fad
https://doi.org/10.1007/978-3-030-30143-9_16
https://doi.org/10.1007/978-3-030-30143-9_16
Publikováno v:
IEEE BigData
2018 IEEE International Conference on Big Data (Big Data)
2018 IEEE International Conference on Big Data (Big Data), Dec 2018, Seattle, United States. pp.4095-4100, ⟨10.1109/BigData.2018.8622275⟩
2018 IEEE International Conference on Big Data (Big Data)
2018 IEEE International Conference on Big Data (Big Data), Dec 2018, Seattle, United States. pp.4095-4100, ⟨10.1109/BigData.2018.8622275⟩
For companies, the need to efficiently deal with vast amounts of integrated multi-source data is becoming crucial. Core concerns are 1) proper and flexible human re- sources management approaches, for 2) more effective resource allocation, as well as
Publikováno v:
AICCSA
This paper presents DyCorC, an extractor and cleaner of web forums contents. Its main points are that the process is entirely automatic, language-independent and adaptable to all kinds of forum architectures. The corpus is built accordingly to user q
Publikováno v:
ICINCO (1)
We present an experimentation line that encompasses various stages for research on graphemes distribution and unsupervised classification. We aim to help close the gap between recent research results showing the abilities of unsupervised learning and