Citation

Chang, Timothy Zhi Wei and Sim, Kok Swee and Tan, Shing Chiang (2021) Adversarial Networks in Data Classification. In: 2nd FET PG Engineering Colloquium Proceedings 2021, 1-15 Dec. 2021, Online Conference. (Unpublished)

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Abstract

The state-of-art methods related to this research work were compiled by reading papers from the literature. Real datasets which were obtained from public and commercial portals were compiled and studied. The adversarial learning model was designed and their performance was evaluated with the datasets. The effectiveness of the adversarial network was evaluated rigorously through a performance comparison with other state-of-art machine-learning models. The results from these benchmark comparisons were analyzed and presented at the end of the paper.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Machine Learning, Imbalanced Data, Fault Detection, Condition Monitoring
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Engineering and Technology (FET) Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	26 Jan 2022 02:20
Last Modified:	26 Jan 2022 02:20
URII:	http://shdl.mmu.edu.my/id/eprint/9897

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