Výsledky vyhledávání - "Mufeed Ahmed Naji Saif"

Akademický článek

MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics

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

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Akademický článek

Corrections to 'MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics'

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

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Akademický článek

Enhancing Big Social Media Data Quality for Use in Short-Text Topic Modeling

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

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Akademický článek

DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform

Autor: Belal Abdullah Hezam Murshed, Jemal Abawajy, Suresha Mallappa, Mufeed Ahmed Naji Saif, Hasib Daowd Esmail Al-Ariki

Publikováno v: IEEE Access, Vol 10, Pp 25857-25871 (2022)

Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the popularity and widespread use of social media by individuals of all ages, it is vital to make social media platforms safer from cyberbullying. This paper present

Externí odkaz: https://doaj.org/article/b79694592b444dd594b79fae96a95bff

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