This study adopts a mixed-methods approach to explore the integration of lexical semantics in vocabulary instruction at Thang Long University. Using pre- and post-tests, Likert-scale surveys, semi-str

Heart disease remains a major global health issue, which emphasizes the need for accurate prediction models to aid early diagnosis and effective intervention. This study explores the use of a Decision

Asthma is a common, chronic inflammatory disorder of the airways that affects an estimated 339 million people worldwide. Diagnostic approaches for asthma usually fail in clinical practice, partly owin

Severe microalgae blooming is detrimental towards human life and the aquatic ecosystem in which it is blooming uncontrollably in. Chlorophyll concentration is a common parameter used to predict microa

The steel industry is a major contributor to global energy consumption and greenhouse gas emissions, driving the need for enhanced efficiency. This study explore the use of Principal Component Analysi

Alzheimer Disease (AD) is a neurogenerative disorder that progressively damages the nervous system. Early detection of AD is crucial, as it allows patients to receive therapy at an earlier stage, help

Predicting household energy consumption is becoming increasingly important as we strive to manage energy costs and support environmental sustainability. This study takes a close look at how the random

Damage to buildings often occurs, and one of the causes is natural disaster such as earthquakes. Earthquakes frequently result in significant damage to buildings, causing financial losses due to damag

This research focuses on identifying risk zones by applying the Random Forest algorithm to predict the probability of earthquakes in Indonesia. The selection of this algorithm is based on its capacity

Stroke is a major global heart concern, often leading to significant disability or death. Early and accurate prediction of stroke risk can significantly improve patient outcomes. To address this issue