Tag: neural networks

A new systematic review and meta-analysis finds that machine learning models can predict speech-in-noise performance with moderate to high accuracy, ...

A new neural-augmented predictive controller slashes computation time and improves power quality in four-level back-to-back converters for grid-connected PMSG wind ...

Researchers in Shandong, China, have developed and externally validated machine learning models that use preoperative data to predict complications, prolonged ...

New research shows that layer-wise pruning cuts neural network inference time and energy by up to a third while preserving ...

A new parallel AI network called Infra-Net uses multi-view wavelet scattering features and confidence-based fusion to distinguish natural hazard infrasound ...

Researchers in Vietnam have developed WGPose-LL, a deep learning method that uses paired well-lit images to guide human pose estimation ...

Researchers have introduced DACD, a dynamic adaptive learning method that detects concept drift in streaming data with a window-based CUSUM ...

Researchers have developed an evidential deep learning framework that detects stroke with near-perfect accuracy while quantifying its own uncertainty in ...

Researchers at the Chinese Academy of Sciences have developed a factorized-gating mixture-of-experts framework that blends regime-specific turbulence specialists to deliver ...

Researchers have combined an Enhanced-Value attention scheme within a Swin Transformer with super-resolution-guided training to improve detection of tiny objects ...