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IEEE/ICACT20260373 Slide.12        [Big Slide]       [YouTube]	Oral Presentation
	We also closely monitored the training stability and convergence of the model. This graph tracks the Generator and Discriminator loss values over training iterations, showing that they successfully reach a Nash Equilibrium. This state indicates that the Generator has learned the data distribution so well that neither network can improve further at the others expense, marking a successful training process.

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