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IEEE/ICACT20260043 Slide.19        [Big Slide]	Oral Presentation
	For our model, we implemented a straightforward Feedforward Neural Network (FFNN) using Keras. It consists of an Input Layer of 84 neurons, followed by two Hidden Layers with 64 and 32 neurons respectively, both using ReLU activation. We used Dropout layers to randomly disable neurons and prevent overfitting. The final Output Layer has 36 neurons with Softmax activation to provide the class probability.

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