Dr. Abdul Samad Bin Shibghatullah
Universiti Tenaga Nasional, Malaysia
Associate Professor
Email: [email protected], [email protected]
Qualifications
2008 Ph.D (Comp.
Science), Brunel University, UK
2001 MSc. (Comp.
Science) UTM
Publications (Selected)
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Wang, S., Shibghatullah, A. S., Keoy, K. H., & Iqbal, J. (2025). Pedestrian mask-wearing detection based on YOLOv5 and DeepSORT. Neural Computing and Applications, 37(15), 9169-9192.
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Wang, S., Ratnavelu, K., & Bin Shibghatullah, A. S. (2025). UEFN: Efficient uncertainty estimation fusion network for reliable multimodal sentiment analysis. Applied Intelligence, 55(3), 171.
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Wang, S., Shibghatullah, A. S., Iqbal, T. J., & Keoy, K. H. (2024). A review of multimodal-based emotion recognition techniques for cyberbullying detection in online social media platforms. Neural Computing and Applications, 36(35), 21923-21956.
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Sarsam, S. M., Al-Samarraie, H., Alzahrani, A. I., Mon, C. S., & Shibghatullah, A. S. (2024). Characterizing suicide ideation by using mental disorder features on microblogs: A machine learning perspective. International Journal of Mental Health and Addiction, 22(4), 1783-1796.
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Hong, K. C., Shibghatullah, A. S., Ling, T. C., & Sarsam, S. (2024). Generative AI-Powered Predictive Analytics Model: Leveraging Synthetic Datasets to Determine ERP Adoption Success Through Critical Success Factors. International Journal of Advanced Computer Science and Applications (ijacsa), 15(5), 469-482.
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Hairol Anuar, S. H., Abas, Z. A., Yunos, N. M., Mukhtar, M. F., Setiadi, T., & Shibghatullah, A. S. (2024). Identifying Communities with Modularity Metric Using Louvain and Leiden Algorithms. Pertanika Journal of Science & Technology, 33(3).
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Wang, S., Shibghatullah, A. S., Keoy, K. H., & Iqbal, J. (2024). YOLOv5 based student engagement and emotional states detection in E-classes. Journal of Robotics, Networking and Artificial Life, 10(4), 357-361.
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Chen, M., Shibghatullah, A. S., Subramaniam, K., & Yang, X. (2024). Weighted minimax programming subject to the max-min fuzzy relation inequalities. AIMS Math, 9(6), 13624-13641.
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Hong, K. C., Shibghatullah, A. S., Ling, T. C., Sarsam, S., & Qazi, S. A. (2023). Bridging web 4.0 and education 4.0 for next generation user training in ERP ADOPTION. Journal of Theoretical and Applied Information Technology, 101(22), 7015-7033.
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Jalil, A., Ghani, M. A. A., Wahab, H., Mustafa, A. D., & Shibghatullah, A. S. (2023). A preliminary study on knowledge retention strategy in faculty of information management of UiTM. Journal of Information and Knowledge Management, 13(1), 110-120.
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Akhla, A. A. N., Thong, C. L., Shibghatullah, A. S., Chit, S. M., Cherukuri, A. K., Chaw, L. Y., & Lee, C. Y. (2023). Impact of real-time information for travellers: A systematic review. Journal of Information & Knowledge Management, 22(01), 2250065.
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Mukhtar, M. F., Abas, Z. A., Rasib, A. H. A., Anuar, S. H. H., Zaki, N. H. M., Rahman, A. F. N. A., ... & Shibghatullah, A. S. (2023). Hybrid global structure model for unraveling influential nodes in complex networks. International Journal of Advanced Computer Science and Applications, 14(6).
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Sarsam, S. M., Al-Samarraie, H., Alzahrani, A. I., & Shibghatullah, A. S. (2022). A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia. Artificial Intelligence in Medicine, 134, 102428.
Profile Details
WoS ResearcherID: H-5362-2013
https://orcid.org/0000-0001-9114-7945
https://scholar.google.com/citations?user=-3hXqGcAAAAJ&hl=en
https://www.researchgate.net/profile/A-Shibghatullah