Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fahd A. Ghanem"'
Autor:
Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem
Publikováno v:
IEEE Access, Vol 12, Pp 21840-21867 (2024)
In bioinformatics, medical diagnosis models might be significantly impacted by high-dimensional data generated by high-throughput technologies. This data includes redundant or irrelevant genes, making it challenging to identify the relevant genes fro
Externí odkaz:
https://doaj.org/article/25c7751d294147d98aaa4638d7d2d53e
Publikováno v:
Technologies, Vol 12, Iss 10, p 199 (2024)
In the era of big data, effectively processing and understanding the vast quantities of brief texts on social media platforms like Twitter (X) is a significant challenge. This paper introduces a novel approach to automatic text summarization aimed at
Externí odkaz:
https://doaj.org/article/b931c53314e844a1887df2468ecbd502
Autor:
Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem
Publikováno v:
IEEE Access, Vol 12, Pp 162508-162508 (2024)
Presents corrections to the paper, (Corrections to “MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics”).
Externí odkaz:
https://doaj.org/article/9c005d4df0ca4c77bd06c4dbbe4981e5
Publikováno v:
Future Internet, Vol 15, Iss 9, p 311 (2023)
The rapid expansion of social media platforms has resulted in an unprecedented surge of short text content being generated on a daily basis. Extracting valuable insights and patterns from this vast volume of textual data necessitates specialized tech
Externí odkaz:
https://doaj.org/article/8365865d685f4c55848b9764ed3a63c9
Autor:
Belal Abdullah Hezam Murshed, Jemal Abawajy, Suresha Mallappa, Mufeed Ahmed Naji Saif, Sumaia Mohammed Al-Ghuribi, Fahd A. Ghanem
Publikováno v:
IEEE Access, Vol 10, Pp 105328-105351 (2022)
With the emergence of microblogging platforms and social media applications, large amounts of user-generated data in the form of comments, reviews, and brief text messages are produced every day. Microblog data is typically of poor quality; hence imp
Externí odkaz:
https://doaj.org/article/2de17b73ad9841e5b0e1894434ca2730
FAEO-ECNN: cyberbullying detection in social media platforms using topic modelling and deep learning
Autor:
Belal Abdullah Hezam Murshed, null Suresha, Jemal Abawajy, Mufeed Ahmed Naji Saif, Hudhaifa Mohammed Abdulwahab, Fahd A. Ghanem
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7a7166b91ef90fee8c0cfa71b8e3ec8
https://doi.org/10.1007/s11042-023-15372-3
https://doi.org/10.1007/s11042-023-15372-3
Publikováno v:
Intelligent Computing Methodologies ISBN: 9783031138317
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e8626af98d81164e73e17d71dd781d3
https://doi.org/10.1007/978-3-031-13832-4_26
https://doi.org/10.1007/978-3-031-13832-4_26
