Americans have limited access to Polymarket, which was banned from the U.S. in 2022. The company has moved to reenter the ...

Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

Abstract: Long-term time series forecasting (LTF) aims to predict time series over extended time horizons, offering significant cross-domain advantages and competitive insights. However, there is no ...

ABSTRACT: Religion has long been recognised as a central dimension of culture, yet no dedicated framework exists to quantify the cultural distance between religions. Existing models, such as ...

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

For the 29 teams who do not win the World Series, the offseason typically begins with an assessment of how they fell short. The champions, naturally, have more to say about what it takes to win a ...

A comprehensive time series analysis project that uses various forecasting techniques to predict book sales and demand patterns. This project analyzes historical sales data from Nielsen BookScan to ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia ...