Quantum-entangled feature selection and spiking graph transformer networks for early detection of childhood behavioral markers.

This twofold contribution, methodological improvement and clinical applicability, makes QVFS-SGTN a practically significant instrument in the early detection of childhood behavioral indicators in real-world wearable monitoring conditions. 4.6 Component contribution analysis In order to directly measure the contribution of each major architectural component, a component contribution analysis was performed by selectively removing or replacing key modules in the proposed framework.

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