‘Stranger Things’ Has Ended. What Happened in the Series Finale?

There was a lot to tie up after five seasons and nearly 10 years, and the show gave itself another two hours to do it. Here ...
IEEE

Air Quality Prediction Based on Time Series Decomposition and Convolutional Sparse Self-Attention Mechanism Transformer Model

Abstract: This study introduces an innovative air quality prediction model, TD-CS-Transformer, which fuses time series decomposition and convolutional sparse self-attention Transformer model. It ...
IEEE

Time Series Forecasting Based on Structured Decomposition and Variational Autoencoder

Abstract: Time series forecasting based on decomposition method usually decomposes a complex time series into some simple components, such as long-term and seasonal trends, which are more easy to be ...
GitHub

Singular Spectrum Analysis for Time Series Forecasting

What is Singular Spectrum Analysis (SSA)? Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series ...
Game Rant

Save The Wheel of Time Petition Goes Viral To Save The Show

Aayush Sharma is a Movie/TV News Writer from India. He has been writing about Hollywood movies, US TV shows, and more for the last 9 years. He has attended several film festivals around the world and ...
Frontiers

AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting

1 School of Big Data and Software Engineering, Chongqing University, Chongqing, China 2 School of Computer and Information Science, Chongqing Normal University, Chongqing, China Introduction: Time ...
Frontiers

SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction

Introduction: With the rapid advancement of industrialization and the prevalent occurrence of haze weather, P M 2.5 contamination has emerged asa significant threat to public health and environmental ...
GitHub

Python version of the Multivariate Empirical Mode Decomposition algorithm

This is a translation of the MEMD (Multivariate Empirical Mode Decomposition) code from Matlab to Python. The Matlab code was developed by [1] and is freely available ...
Seeking Alpha

Decomposition Of U.S. Equity Returns Over Time - Is It Different This Time?

The large US equity rallies in 2023 and 2024 have been driven mainly by valuation expansion, which accounted for almost three-fourths to more than half of total return in 2023 and 2024, respectively.