Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...
By Vince ChongSMU Office of Research Governance & Administration – Tightening energy security. Boosting aviation and maritime risk management and efficiency. Enhance urban and infrastructure ...
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: 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: 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.
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 ...