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IEEE/ICACT20260043 Slide.20        [Big Slide]	Oral Presentation
	The beauty of this architecture lies in its Model Complexity & Size. The model has only 8,708 trainable parameters, resulting in a physical file size of just 34 KB. To put that in perspective, standard CNNs like VGG16 are often 100MB to 500MB. A 34 KB model implies true Ubiquity it can literally run on a microcontroller, a cheap IoT chip, or a legacy smartphone with almost zero memory footprint.

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