IEEE

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...
IEEE

Low-Dimensional Temporal Representations of Brain Functional Networks Using a Transformer-Based Autoencoder

Abstract: In this study, we developed a Transformer-based autoencoder (TAE) model for temporal dimensionality reduction of fMRI data, harnessing the Transformer's ability to capture temporal ...
The Escapist

Pokémon Legends: Z-A Mega Dimension introduces calorie counting – it’s an odd feature

Food in the Pokémon universe has steadily gained traction as a key feature; what once started as primarily a berries-only kind of deal has since become a delicious tapestry of delicacies. Pokémon ...