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Found 5 papers, 2 papers with code
GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes
We design a directed multipartite graph encapsulating the solution space, called RGGR, where each node corresponds to a gene in the solution and the edge represents the relationship between adjacent nodes.
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging
The feature representation of an input signal is segmented into patches within the latent space, each of which is compared against the learned wave prototypes.
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
Finally, a Decoder layer is employed to reconstruct the artifact-reduced EEG signal.
Sonic: A Sampling-based Online Controller for Streaming Applications
It is challenging to find knob settings that optimize the run-time performance of such applications because the optimal knob settings are usually functions of inputs, computing platforms, time as well as user's requirements, which can be very diverse.
An Elementary Introduction to Kalman Filtering
Kalman filtering is a classic state estimation technique used widely in engineering applications such as statistical signal processing and control of vehicles.
Systems and Control
