Zobrazeno 1 - 10 of 57 pro vyhledávání: '"Norshakirah Aziz"'
1
Akademický článek
The future of skin cancer diagnosis: a comprehensive systematic literature review of machine learning and deep learning models
Autor: Shamsuddeen Adamu, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Ayed Alwadin, Abdullahi Abubakar Imam, Mujaheed Abdullahi, Aliyu Garba, Yahaya Saidu
Publikováno v: Cogent Engineering, Vol 11, Iss 1 (2024)
Skin cancer, a life-threatening disease, necessitates early detection and accurate classification for successful treatment. Misdiagnoses can lead to significant consequences for patients, highlighting the critical need for improved accuracy. Despite
Externí odkaz: https://doaj.org/article/5f28a27b897c4ff284febb1588c23a92
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2
Akademický článek
Comparison and Investigation of AI-Based Approaches for Cyberattack Detection in Cyber-Physical Systems
Autor: Mujaheed Abdullahi, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Ayed Alwadain, Aminu Aminu Muazu, Abubakar Bala
Publikováno v: IEEE Access, Vol 12, Pp 31988-32004 (2024)
The demand for cyber-physical systems (CPSs) has recently increased in various domains, such as smart grids, intelligent transportation, and critical infrastructure. The massive data networks and communication layers generated make CPSs vulnerable to
Externí odkaz: https://doaj.org/article/7222ebed701749e3807088038600f121
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3
Akademický článek
Systematic Literature Review of Information Extraction From Textual Data: Recent Methods, Applications, Trends, and Challenges
Autor: Mohd Hafizul Afifi Abdullah, Norshakirah Aziz, Said Jadid Abdulkadir, Hitham Seddig Alhassan Alhussian, Noureen Talpur
Publikováno v: IEEE Access, Vol 11, Pp 10535-10562 (2023)
Information extraction (IE) is a challenging task, particularly when dealing with highly heterogeneous data. State-of-the-art data mining technologies struggle to process information from textual data. Therefore, various IE techniques have been devel
Externí odkaz: https://doaj.org/article/fe20a3a0b9444a21ac5b3bd2eee7121f
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4
Akademický článek
Hybrid Binary Grey Wolf With Harris Hawks Optimizer for Feature Selection
Autor: Ranya Al-Wajih, Said Jadid Abdulkadir, Norshakirah Aziz, Qasem Al-Tashi, Noureen Talpur
Publikováno v: IEEE Access, Vol 9, Pp 31662-31677 (2021)
Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation in local optima areas may still be a concern. Several significant GWO factors can be explored to enhance the performance of selection in classification, with two confl
Externí odkaz: https://doaj.org/article/94b07a008182449186e88cac511eb29e
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5
Akademický článek
An Ensemble One Dimensional Convolutional Neural Network with Bayesian Optimization for Environmental Sound Classification
Autor: Mohammed Gamal Ragab, Said Jadid Abdulkadir, Norshakirah Aziz, Hitham Alhussian, Abubakar Bala, Alawi Alqushaibi
Publikováno v: Applied Sciences, Vol 11, Iss 10, p 4660 (2021)
With the growth of deep learning in various classification problems, many researchers have used deep learning methods in environmental sound classification tasks. This paper introduces an end-to-end method for environmental sound classification based
Externí odkaz: https://doaj.org/article/1e68335d60a34bfc857c6691d936ce61
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8
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey
Autor: Noureen Talpur, Said Jadid Abdulkadir, Hitham Alhussian, Mohd Hilmi Hasan, Norshakirah Aziz, Alwi Bamhdi
Publikováno v: Artificial Intelligence Review. 56:865-913
Deep neural networks (DNN) have remarkably progressed in applications involving large and complex datasets but have been criticized as a black-box. This downside has recently become a motivation for the research community to pursue the ideas of hybri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1ffe52a053155eccaf7237283c0ca99
https://doi.org/10.1007/s10462-022-10188-3
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