Abstract: To address the limitations of traditional time series models in capturing nonlinear inflation dynamics and deep learning's susceptibility to overfitting with limited data, this study ...

Abstract: Time series data permeates our daily existence and has been recognized as of significant importance for many sectors, such as energy, transportation, telecommunication, and health care.

The Reserve Bank of Malawi (RBM) has projected an optimistic inflation outlook for the near-term, noting that easing food prices have bolstered Malawi inflation’s resilience to external shocks. In its ...

This project computes a Personalized Consumer Price Index (CPI) for each user based on their unique spending behavior. Instead of relying on the national “CPI-U,” this system builds a user-specific ...

1 Department of Computer Science, University of Mary Washington, Fredericksburg, USA. 2 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, USA. This paper explores ...

This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the ...

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 ...