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PiVoT achieves real-time tracking of thousands of objects in cluttered environments, outperforming traditional Bayesian methods and rivaling deep learning benchmarks without any training.
PHAST-Net achieves unprecedented accuracy in time-frequency analysis by integrating attention mechanisms with physics-informed learning, redefining how we approach signal representation.