Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mohamed K. Elhadad"'
Autor:
Fayez Gebali, Mohamed K. Elhadad
Publikováno v:
Computers, Vol 12, Iss 11, p 233 (2023)
Vehicle area networks (VANs) encompass a spectrum of communication modes, including point-to-point visible light communication, 5G/6G cellular wireless communication, and Wi-Fi ad hoc multihop communication. The main focus of this paper is the introd
Externí odkaz:
https://doaj.org/article/ab5d37bd85514423bd2783eba06143e2
Publikováno v:
IEEE Access, Vol 8, Pp 165201-165215 (2020)
This article addresses the problem of detecting misleading information related to COVID-19. We propose a misleading-information detection model that relies on the World Health Organization, UNICEF, and the United Nations as sources of information, as
Externí odkaz:
https://doaj.org/article/bfa639d685ad4d0a9361a6f04b7979c3
Publikováno v:
Advances in Intelligent Networking and Collaborative Systems ISBN: 9783030577957
INCoS
Advances in Intelligent Networking and Collaborative Systems
Advances in Intelligent Systems and Computing
INCoS
Advances in Intelligent Networking and Collaborative Systems
Advances in Intelligent Systems and Computing
This paper aims to aid the ongoing research efforts for combating the Infodemic related to COVID-19. We provide an automatically annotated, bilingual (Arabic/English) COVID-19 Twitter dataset (COVID-19-FAKES). This dataset has been continuously colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7539a9df859bd1e089c6956c6d40e5f8
https://doi.org/10.1007/978-3-030-57796-4_25
https://doi.org/10.1007/978-3-030-57796-4_25
Publikováno v:
Advances in Intelligent Systems and Computing
Advances in Networked-Based Information Systems
Advances in Intelligent Systems and Computing ISBN: 9783030578107
NBiS
Advances in Networked-Based Information Systems
Advances in Intelligent Systems and Computing ISBN: 9783030578107
NBiS
This paper aims to combat the Infodemic related to COVID-19. We propose an ensemble deep learning system for detecting misleading information related to COVID-19. This system depends on the shared COVID-19-related information from the official websit
Publikováno v:
International Journal of Software Innovation. 6:1-10
The task of extracting the used feature vector in mining tasks (classification, clustering …etc.) is considered the most important task for enhancing the text processing capabilities. This paper proposes a novel approach to be used in building the
Publikováno v:
ICIS
Dimensionality reduction of feature vector size plays a vital role in enhancing the text processing capabilities; it aims in reducing the size of the feature vector used in the mining tasks (classification, clustering, etc.). This paper proposes an e
Publikováno v:
Journal of Engineering Science and Military Technologies. 17:1-8
The data on the web is generally stored in structured, semi-structured and un- structured formats; from the survey the most of the information of an organization is stored in unstructured textual form .so, the task of categorizing this huge number of
Publikováno v:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030335083
3PGCIC
3PGCIC
Nowadays, online news platforms have become the main sources of news for many users. Hence, an urgent need arises to find a way to classify this news automatically and measure its validity to avoid spreading fake news. In this paper, we tried to simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63fbec1ad1fbd4db7329b9ff5ccb7e11
https://doi.org/10.1007/978-3-030-33509-0_86
https://doi.org/10.1007/978-3-030-33509-0_86
Publikováno v:
PACRIM
These days there are instabilities in many societies in the world, either because of political, economic, and other societal issues. The advance in mobile technology has enabled social media to play a vital role in organizing activities in favour or