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 ...

At least 35 times since August, federal judges have ordered the administration to explain why it should not be punished for violating their orders in immigration cases. By Mattathias Schwartz Zach ...

Abstract: Accurate solar irradiation forecasting is essential to optimize renewable energy systems, ensure grid reliability, and drive the shift to sustainable energy solutions worldwide. This study ...

This code is the official PyTorch implementation of our AAAI'26 paper: APN: Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. If you find this project helpful, please ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and tech leaders including Google Research and Amazon, have ...

Abstract: Predictive analytics relies heavily on time series forecasting, which influences choices in a variety of fields. Using statistical, hybrid machine learning, and deep learning techniques, ...

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 ...