Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
EurekAlert!

Wang unlocking complex heterogeneity in large spatial-temporal data with scalable quantile learning

Lily Wang, Professor, Statistics, College of Engineering and Computing (CEC), received funding for the project: “Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
Frontiers

Advancing High-Resolution 3T MRI for Cognitive and Clinical Neuroscience

Magnetic resonance imaging (MRI) at 3T is a cornerstone for neuroscientific research due to its widespread availability and versatility. The advent of ultra-high field (≥7T) scanners has significantly ...