Within the area of stock market prediction, forecasting price values or movements is one of
the most challenging issue. Because of this, the use of machine learning techniques in …

Numerous machine learning models have been developed to achieve the 'real-life'financial
objective of optimising the risk/return profile of investment strategies. In the current article:(a) …

The Philippine stock market, just like most of its neighbors in the region, was seriously
impacted by the global pandemic COVID-19. Investors remain hopeful while continuing to …

Accurate and automatic segmentation of pancreatic tumors and organs from medical images
is important for clinical diagnoses and making treatment plans for patients with pancreatic …

Machine learning for stock market prediction has recently been popular for identifying stock
selection strategies and providing market insights. In this study, we adopted machine …

This work develops machine learning (ML) predictive models on price signals for financial
instruments and their integration into trading strategies. In general, ML models have been …

Today, several tools and statistical techniques can be used to find profitable trading
opportunities, particularly when it comes to predicting stock closing prices. Yet, a few studies …

The primary goal of investors who include Real Estate Investment Trusts (REITs) in their
portfolios is to achieve better returns while reducing the overall risk of their investments …

Purpose This study aims to determine whether, by means of the application of genetic
algorithms (GA) through the traditional technical analysis (TA) using moving average …

Soil nickel (Ni) contamination attributes a crucial environmental concern because its
adverse effects on people health and ecosystem. Numerous studies have estimated Ni …