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channel selection

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Showing 26–50 of 119 papers

TitleStatusHype
Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation—0
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem—0
Distributed Learning for Vehicular Dynamic Spectrum Access in Autonomous Driving—0
Dynamic Channel Access via Meta-Reinforcement Learning—0
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database—0
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion—0
Joint Channel Selection using FedDRL in V2X—0
Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning—0
Efficient fetal-maternal ECG signal separation from two channel maternal abdominal ECG via diffusion-based channel selection—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
Computation and Privacy Protection for Satellite-Ground Digital Twin Networks—0
ElectrodeNet -- A Deep Learning Based Sound Coding Strategy for Cochlear Implants—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
Flexible metro network architecture based on wavelength blockers and coherent transmission—0
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization—0
A Real-time and Hardware Efficient Artfecat-free Spike Sorting Using Deep Spike Detection—0
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals—0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN—0
Hybrid Cognition for Target Tracking in Cognitive Radar Networks—0
Dynamic Rate and Channel Selection in Cognitive Radio Systems—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—0
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
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