IEEE

A Random Convolution based Adversarial Data Augmentation for Single-Source Domain Generalization

Abstract: Domain generalization, focusing on training neural networks that generalize well to unseen target domains, is a critical challenge in machine learning. While most existing approaches rely on ...
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 ...
Nature

First atlas of brain organization shows development over a lifetime

Scans of more than 3,500 people allow scientists to draw up a guide to the brain areas that work together from birth to 100 ...
IEEE

A Transferable Multi-Scale Convolution Domain Adaptation Network for Bearings RUL Prediction

Abstract: Transfer learning methodologies predominantly concentrate on adapting to varied operational conditions. However, disparities in probability distributions and the deterioration of performance ...