This paper investigates the challenging domain of stock market prediction, a significant
aspect of financial markets. It focuses on developing predictive models to forecast stock …

The exchange of stocks, bonds, and other assets on the stock market is a complicated and
dynamic process that is impacted by several variables. Machine learning methods have …

Autism is a behavioral disorder caused by neurodevelopmental disorders in the brain. This
condition makes it difficult to communicate, socialize, and learn. One of the machine learning …

This study presents a comprehensive literature review exploring the integration of
exogenous variables in economic time series forecasting, focusing on supporting public …

Today, a company's share price is influenced by a wide array of factors, ranging from
fundamental internal dynamics to political decisions, industry-specific developments …

This study presents a comprehensive literature review on integrating exogenous variables in
time series forecasting, with a particular focus on financial markets. Both traditional statistical …

Investors and traders are always looking for new ways to understand the complex
environment so that they may reduce their exposure to risk, make more informed choices …