Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Synchronizing ultrashort X-ray pulses for attosecond precision

Scientists at the Paul Scherrer Institute PSI have, for the first time, demonstrated a technique that synchronizes ultrashort ...
IEEE

TriDGNet: Triple Feature Encoder-Based Dual Granularity Graph Learning Network for Enhanced Travel Time Estimation

The contemporary urban intelligent transportation system (ITS) generates an enormous amount of trajectory data daily, serving as an essential reflection of traffic dynamics. Accurate estimation of ...
IEEE

MLPT: MLP-Enhanced Patch Transformer for Multivariate Time Series Forecasting

Abstract: Multivariate time series forecasting has a wide range of applications in the fields of computer supported cooperative work. In recent years, deep learning models like transformers, have been ...