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IEEE/ICACT20260373 Slide.08        [Big Slide]       [YouTube]	Oral Presentation
	To ensure this complex network converges effectively, we employ two key optimization strategies. First, we use Cosine Annealing to dynamically adjust the learning rate based on thermodynamic principles, accelerating initial convergence while allowing for fine-grained exploration later. Second, we integrate Attention Mechanisms (Query, Key, Value) to help the model focus specifically on frequency bands sensitive to scattering, actively suppressing irrelevant environmental noise.

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