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Published in Phuket, Thailand, In Proceedings of the International Conference on Information Technology (InCIT 2025). IEEE (Scopus Indexed), 2025
Recommended citation: Nabi, M. S., Fauzi, M. F. A., Karim, H. B. A. (2025). Hybrid Deep Learning Framework for Multi-Class Breast Cancer Scoring Using Grad-CAM++. In Proceedings of the International Conference on Information Technology (InCIT 2025). IEEE (Scopus Indexed)
Published in Phuket, Thailand, In Proceedings of the International Conference on Information Technology (InCIT 2025). IEEE (Scopus Indexed), 2025
Recommended citation: Bannah. H., Fauzi, M. F. A., Nabi, M. S., et al. (2025). Real-Time Nuclei Classification and Allred Scoringin PR-IHC Stained Breast Cancer Histopathology Images. In Proceedings of the International Conference on Information Technology (InCIT 2025). IEEE (Scopus Indexed). Accepted]
Published in Waste Management, 2025
Recommended citation: Istiyak, A. S., Siow, C. L., Lee, I. E., et al. (2025). Risk-Aware Route Optimization for Waste Cooking OilCollection. Waste Management, [Under Review].
Published in Energy Reports, 2025
Recommended citation: Istiyak, A. S., Siow, C. L., Lee, I. E., et al. (2025). Tri-Objective Co-optimization of Waste-Cooking-Oil Biodiesel Using Machine Learning, NSGA-II, and Life-Cycle Assessment. Energy Report, EGYR-D-2503431. [Under Review].
Published in Phuket, Thailand, In Proceedings of the International Conference on Information Technology (InCIT 2025). IEEE (Scopus Indexed), 2025
Recommended citation: Istiyak, A. S., Siow, C. L., Lee, Nabi, M. S., et al. (2025). Travelling Salesman Problem in the Classical to Quantum Era: A Comparative Review of Algorithms and Computational Complexity. In Proceedings of the International Conference on Information Technology (InCIT 2025). IEEE (Scopus Indexed). [Accepted]
Published:
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Published:
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
Undergraduate course, Online, 2025
Master the Art of Building Autonomous AI Agents Using n8n, APIs, and LLMs