Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Fatima El Barakaz"'
Autor:
Ernesto Lee, Furqan Rustam, Patrick Bernard Washington, Fatima El Barakaz, Wajdi Aljedaani, Imran Ashraf
Publikováno v:
IEEE Access, Vol 10, Pp 9717-9728 (2022)
With social media’s dominating role in the socio-political landscape, several existing and new forms of racism took place on social media. Racism has emerged on social media in different forms, both hidden and open, hidden with the use of memes and
Externí odkaz:
https://doaj.org/article/29c8dfe9671c4aa7a4feff4fcf8dffb8
Autor:
Mohamed Hanine, Omar Boutkhoum, Fatima El Barakaz, Mohamed Lachgar, Noureddine Assad, Furqan Rustam, Imran Ashraf
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2668 (2021)
Rapid urbanization to meet the needs of the growing population has led to several challenges such as pollution, increased and congested traffic, poor sustainability, and impact on the ecological environment. The conception of smart cities comprising
Externí odkaz:
https://doaj.org/article/dd87b692bb2a4acb947b414918541a86
Autor:
Omar Boutkhoum, Mohamed Hanine, Mohamed Nabil, Fatima El Barakaz, Ernesto Lee, Furqan Rustam, Imran Ashraf
Publikováno v:
Mathematics, Vol 9, Iss 14, p 1601 (2021)
Blockchain technology has received wide attention during recent years, and has huge potential to transform and improve supply chain management. However, its implementation in the SSCM (Sustainable Supply Chain Management) strategy is sophisticated, a
Externí odkaz:
https://doaj.org/article/b92eb4003081423a99aceaeb161bbf25
Autor:
Fatima El Barakaz, Omar Boutkhoum, Mohamed Hanine, Abdelmajid El Moutaouakkil, Furqan Rustam, Sadia Din, Imran Ashraf
Publikováno v:
Big Data. 10:425-439
The full potential of data analysis is crippled by imbalanced and high-dimensional data, which makes these topics significantly important. Consequently, substantial research efforts have been directed to obtain dimension reduction and resolve data im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31eec3c98063ea0f024308de82506397
https://doi.org/10.1089/big.2021.0225
https://doi.org/10.1089/big.2021.0225
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cdd22f3493c33f6180e706ceb1dc32e
https://doi.org/10.1007/978-3-030-90639-9_30
https://doi.org/10.1007/978-3-030-90639-9_30
Autor:
Imran Ashraf, Mohamed Nabil, Ernesto Lee, Omar Boutkhoum, Mohamed Hanine, Fatima El Barakaz, Furqan Rustam
Publikováno v:
Mathematics
Volume 9
Issue 14
Mathematics, Vol 9, Iss 1601, p 1601 (2021)
Volume 9
Issue 14
Mathematics, Vol 9, Iss 1601, p 1601 (2021)
Blockchain technology has received wide attention during recent years, and has huge potential to transform and improve supply chain management. However, its implementation in the SSCM (Sustainable Supply Chain Management) strategy is sophisticated, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a14a23c3c4f9c7ac09be990c15104f0
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366766
At present, the online marketplace business activities still mainly based on the transactions of their users: sellers and buyers. To gain more control over poor decisions that have a direct impact on revenues, marketplaces took time to invest on thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f02e007c089680399b141cc9015ce4
https://doi.org/10.1007/978-3-030-36677-3_1
https://doi.org/10.1007/978-3-030-36677-3_1
Akademický článek
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Publikováno v:
Proceedings of the 4th International Conference on Big Data and Internet of Things.
In data mining classification problems, the higher the number of features, the harder the visualization of the training set is. Working on a dataset with varied factors sounds a big problem for data analyst even after applying classification models,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e9626c577b30af5368354a057d79be
https://doi.org/10.1145/3372938.3373005
https://doi.org/10.1145/3372938.3373005
Publikováno v:
TELKOMNIKA (Telecommunication Computing Electronics and Control). 19:155
In this paper, a hybrid method has been introduced to improve the classification performance of naïve Bayes (NB) for the mixed dataset and multi-class problems. This proposed method relies on a similarity measure which is applied to portions that ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55d8046962eabc90418243740e97f138
https://doi.org/10.12928/telkomnika.v19i1.18024
https://doi.org/10.12928/telkomnika.v19i1.18024