Abstract: Since stunting was recognized as a global issue by the WHO, numerous countries have conducted research on this topic. Stunting classification heavily depends on the quality of the datasets ...

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

Abstract: This work investigates the use of machine learning for the classification of natural disasters, with a focus on the Random Forest and XG Boost algorithms with optimized hyperparameters.

For each league, the application computes several statistics (features) about the teams, including their form, the performance of the last N matches, etc. The stats are computed for both the home team ...

Objective: Postoperative pneumonia (POP) is a common complication in surgical patients. The choice of anesthetic may affect POP in patients with non-traumatic subarachnoid hemorrhage (SAH). This study ...