Researchers have built an open-source Python library that scores synthetic EEG data across fidelity, diversity and privacy using interpretable, real-data-normalised ...
Researchers report an AI model combining CNN feature extraction and a spiking neural network that classifies microscopic fabric defects with ...
A new physics-informed neural network embeds a structure's natural frequencies into its architecture, cutting seismic response prediction errors below 2 ...
A hybrid vision transformer-CNN model detected epileptic seizures in pediatric EEG recordings with 99.8 percent average sensitivity while quantitatively explaining ...
A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports over 92 percent accuracy in detecting ...
A capsule neural network model called AMP-CapsNet achieved 97.29 percent test accuracy in classifying antimicrobial peptides when using dipeptide composition ...
An explainable machine learning analysis of more than 31,000 Spanish graduates finds that holding a STEM degree is by far ...
A new decentralized federated learning framework uses particle swarm optimization to dynamically select clients, reporting 76.2% accuracy on CIFAR-10 under ...
A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak efficiency ...
A cross-sectional study of 1,005 breast cancer patients identified three fatigue subgroups and found perceived stress, depression, and self-compassion were ...
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