IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...
IEEE

Multi-Entropy Feature Extraction With LSTM Networks for Acoustic Emission-Based Railway Crack Localization

Abstract: Railway infrastructure security is contingent upon the prompt identification of structural anomalies within steel tracks. This research establishes a framework that merges acoustic emission ...
DualShockers

Temporal Health, Explained in Windrose

Shane Limbaugh is a Contributor at DualShockers who began covering games professionally in 2025. A longtime gamer with a Bachelor’s Degree in Game Design and Criticism, Shane brings a design-focused ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
Frontiers

RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...