A neural network trained on full-reference perceptual quality labels predicts minimal sufficient resolution for rendered video to enable power-efficient client-side rendering.
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Hybrid fusion of temporal arrival-time descriptors and spectral features from shaker vibration data yields higher accuracy and lower variability than conventional inputs for structural health monitoring classification.
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Seeing enough: non-reference perceptual resolution selection for power-efficient client-side rendering
A neural network trained on full-reference perceptual quality labels predicts minimal sufficient resolution for rendered video to enable power-efficient client-side rendering.
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Hybrid Spectro-Temporal Fusion Framework for Structural Health Monitoring
Hybrid fusion of temporal arrival-time descriptors and spectral features from shaker vibration data yields higher accuracy and lower variability than conventional inputs for structural health monitoring classification.