By Vince ChongSMU Office of Research Governance & Administration – Tightening energy security. Boosting aviation and maritime ...
MANHASSET, NY, UNITED STATES, January 30, 2026 /EINPresswire.com/ -- While tech giants chase billion-dollar healthcare ...
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 ...
Abstract: The rise of decentralized energy sources and renewables demands advanced grid planning, with short-term load forecasting (STLF) playing a crucial role. Energy demand in smart grids is highly ...
This academic seminar series explores a broad range of topics such as data science, urban planning and urban networks and their impact on the dynamic of cities.
1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia ...
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