Abstract: This study presents a comparative approach to short-term forecasting of five technology-focused exchange-traded funds (ETFs)—AIQ, BOTZ, QQQ, VGT, and XLK—using two modelling techniques: the ...

has been cited by the following article: TITLE: Navigating Integration Challenges and Ethical Considerations of AI in E-Commerce: A Framework for Best Practices and Customer Trust ...

Interest rates remain top of mind for homebuyers in the new year, especially after years of volatile swings driven by inflation and Federal Reserve rate fluctuations. The past year drove rates down, ...

A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...

Abstract: E-commerce sales forecasting is crucial for optimising inventory management and improving supply chain efficiency. In this paper, a hybrid forecasting model combining K-means clustering and ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...