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IEEE/ICACT20260373 Slide.05        [Big Slide]       [YouTube]	Oral Presentation
	This chart highlights the specific research gap we aim to address. Current standard deep learning models offer high robustness but require high data availability, while traditional methods are independent of large data but suffer from low robustness. Our research targets the top-left quadrant—achieving high robustness despite low data availability—with the specific goal of ensuring over 90% recognition accuracy even with limited training samples and high environmental noise.

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