New Zealand researchers have developed IMPACT, an interpretable risk-scoring model that predicts emergency department mortality with AUROC values up to...

A new neural network called CDGaitFusion fuses shared motion patterns with individual-specific features to recognize people by their gait despite...

A Moroccan research team has developed a hybrid convolutional neural network with local and global attention modules that reaches 95.87...

Researchers have unveiled DistTDT, a distributed framework that brings explainable terminological decision tree learning to massive OWL knowledge bases, cutting...

A new study shows that a small deep neural network trained on simulations of a classic biophysical model can accurately...

Researchers have developed KRF-DUNet, a tensorized semi-blind receiver that uses Khatri-Rao structure and deep algorithm unrolling to deliver lower error...

Researchers show that a randomly initialized, never-trained graph neural network paired with a lightweight streaming classifier outperforms state-of-the-art methods in...

Researchers have combined GradientSHAP and 3D Contrast Grad-CAM to reveal how a 3D convolutional neural network identifies deep concealed orebodies...

Researchers at the University of Salerno have developed a hybrid deep learning model that predicts the seismic capacity of existing...

Researchers in Beijing have unveiled a wavelet-enhanced model combining Mamba sequence modeling and graph neural networks that outperforms prevailing methods...