Abstract: Federated learning is increasingly being considered for sensor-driven human activity recognition, offering advantages in terms of privacy and scalability compared to centralized methods.
Abstract: In this study, we systematically investigate how different preprocessing strategies interact with model architectures in 3D chest CT multi-label classification. Using a 20% subset of the ...
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