Tag: artificial neural networks
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BandRouteNet: Adaptive EEG Artifact Removal Neural Net
BandRouteNet uses adaptive band routing to efficiently remove EEG artifacts, improving signal quality for neurological and BCI applications.
Preventing Catastrophic Overfitting in Fast Adversarial Training
Discover new insights and strategies to prevent catastrophic overfitting in fast adversarial training for more robust neural networks.
Self-Abstraction Learning for Stable Deep Neural Training
Discover how Self-Abstraction Learning improves stability and effectiveness in training deep neural networks by addressing common optimization challenges.
Optimizing CNNs for CIFAR-10: Ablation & Ensemble Study
Discover how empirical ablation and ensemble methods optimize CNN performance for CIFAR-10 image classification with up to 89.23% accuracy.
Partition-of-Unity Gaussian KANs for Stable Neural Nets
Discover how Partition-of-Unity Gaussian Kolmogorov-Arnold Networks enhance neural network stability and accuracy with innovative Gaussian basis functions.