A "Fat Pack" of 2026 Topps Baseball Series 1. Courtesy of Topps The first Topps baseball cards of the new season have been released, which means it’s time for a reminder on what Series 1 is all about: ...

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 ...

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.

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 ...

Time-series forecasting of fertilizer, diesel, and seed price volatility across Indian states using ARIMA/Prophet with Power BI dashboards and SQL backend.

Singular Spectrum Analysis (SSA) is a powerful nonparametric method that has emerged as a vital tool in the analysis and forecasting of time series data. By utilising matrix decomposition techniques, ...

In this project, we aim to develop a time series analysis framework using modern machine learning techniques. The project focuses on solving the two fundamental tasks in time series analysis. Our ...