Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Azeddine Zahi"'
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200387- (2024)
By cooperatively learning features and assigning clusters, deep clustering is superior to conventional clustering algorithms. Numerous deep clustering algorithms have been developed for a variety of application levels; however, the majority are still
Externí odkaz:
https://doaj.org/article/595d93787957438994da59abb3bd4045
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-20 (2021)
Abstract In this paper, we introduce three new implementations of non-native methods for storing RDF data. These methods named RDFSPO, RDFPC and RDFVP, are based respectively on the statement table, property table and vertical partitioning approaches
Externí odkaz:
https://doaj.org/article/277775acb1ac40b180b10c425016e935
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-22 (2021)
Abstract The Dimensionality Curse is one of the most critical issues that are hindering faster evolution in several fields broadly, and in bioinformatics distinctively. To counter this curse, a conglomerate solution is needed. Among the renowned tech
Externí odkaz:
https://doaj.org/article/62aff65c3882444aab9230d767205706
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-22 (2021)
Abstract The aim of converting relational database into Ontology is to provide applications that are based on the semantic representation of the data. Whereas, representing the data using ontologies has shown to be a useful mechanism for managing and
Externí odkaz:
https://doaj.org/article/d859a98a2680480ab3ad7c684b0cfd6c
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-24 (2019)
Abstract In the era of accelerating growth of genomic data, feature-selection techniques are believed to become a game changer that can help substantially reduce the complexity of the data, thus making it easier to analyze and translate it into usefu
Externí odkaz:
https://doaj.org/article/d19a93d6974d4a53a92efab2bad8fd23
Publikováno v:
In Procedia Computer Science 2018 127:69-75
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 13:4052
Face recognition is a challenging task due to the complexity of pose variations, occlusion and the variety of face expressions performed by distinct subjects. Thus, many features have been proposed, however each feature has its own drawbacks. Therefo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c900e96d11fe20923b613e97b24413d3
https://doi.org/10.11591/ijece.v13i4.pp4052-4067
https://doi.org/10.11591/ijece.v13i4.pp4052-4067
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-22 (2021)
The Dimensionality Curse is one of the most critical issues that are hindering faster evolution in several fields broadly, and in bioinformatics distinctively. To counter this curse, a conglomerate solution is needed. Among the renowned techniques th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5969053b669c1c0afe449061b6b5d4e
https://doaj.org/article/62aff65c3882444aab9230d767205706
https://doaj.org/article/62aff65c3882444aab9230d767205706
Publikováno v:
International journal of Computer Networks & Communications. 12:19-39
Vehicular ad-hoc networks (VANETs) represent a powerful and active field of research and have given rise to many challenges related to routing protocols and communication problems with other vehicles or fixed infrastructure called roadside units (RSU
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f09e276e3b6a12e764247d39d3c40d1
https://doi.org/10.5121/ijcnc.2020.12402
https://doi.org/10.5121/ijcnc.2020.12402
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813368927
Over the last few decades, Vehicular Ad hoc Networks (VANETs) in which vehicles communicate with each other in a high dynamic topology and a high speed, have attracted considerable attention. In this type of application, routing needs to be carefully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43066f7648b1e40376aeef63a30d38cd
https://doi.org/10.1007/978-981-33-6893-4_48
https://doi.org/10.1007/978-981-33-6893-4_48
