Hybrid AI Spots Seizures in Brain Recordings With Near-Perfect Accuracy
A hybrid vision transformer-CNN model detected epileptic seizures in pediatric EEG recordings with 99.8 percent average sensitivity while quantitatively explaining ...
A hybrid vision transformer-CNN model detected epileptic seizures in pediatric EEG recordings with 99.8 percent average sensitivity while quantitatively explaining ...
A lightweight CNN-LSTM framework classifies negative, neutral, and positive sentiment from live video at 84.89 percent accuracy on RAVDESS, outperforming ...
An analysis of 14,759 smartphone voice recordings from 461 adults found acoustic patterns associated with type 2 diabetes, with balanced ...
A new simulation study compares Fourier, wavelet, and direct time-domain fitting methods for analyzing short and non-stationary NMR signals, revealing ...
Researchers at Shahid Chamran University of Ahvaz have built a compact EfficientNet-inspired neural network that classifies music genres from spectrogram ...
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© 2025 Scienmag - Science Magazine