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Found 5 papers, 1 papers with code
A Multimodal Data-driven Framework for Anxiety Screening
Multimodal data can provide more objective evidence for anxiety screening to improve the accuracy of models.
A Lite Fireworks Algorithm with Fractal Dimension Constraint for Feature Selection
The "LFWA+FD" focuses on searching the ideal feature subset by simplifying the fireworks algorithm and constraining the dimensionality of selected features by fractal dimensionality, which in turn reduces the approximate features and reduces the noise in the original data to improve the accuracy of the model.
A Lite Fireworks Algorithm for Optimization
The fireworks algorithm is an optimization algorithm for simulating the explosion phenomenon of fireworks.
SFF-DA: Sptialtemporal Feature Fusion for Detecting Anxiety Nonintrusively
To address these issues, we propose a framework with spatiotemporal feature fusion for detecting anxiety nonintrusively.
Collaborative Three-Tier Architecture Non-contact Respiratory Rate Monitoring using Target Tracking and False Peaks Eliminating Algorithms
We proposed a non-contact respiratory rate monitoring system with a cooperative three-layer design to increase the precision of respiratory monitoring and decrease data transmission latency.
