Structured Query Language (SQL) injection attacks represent a critical threat to database-
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …

Chronic diseases, a global public health challenge, necessitate the deployment of cutting-
edge predictive models for early diagnosis and personalized interventions. This study …

Early diagnosis of heart disease is crucial, as it's one of the leading causes of death globally.
Machine learning algorithms can be a powerful tool in achieving this goal. Therefore, this …

This article provides an overview of modern machine learning methods in the context of their
active use in credit scoring, with particular attention to the following algorithms: light gradient …

This study evaluates the effectiveness of data mining algorithms in heart failure disease
classification. Various algorithms, including Random Forest, Decision Tree C4. 5, Gradient …

The effective diagnosis and resolution of issues in on-road and off-road vehicles are critical
for maintaining optimal performance and customer satisfaction. Off-road incidents, in …

Heart failure is a basic restorative condition with a noteworthy effect on open wellbeing,
driving to considerable horribleness and mortality rates around the world. Early expectation …

In recent years, there have been remarkable advancements in machine learning. The rise in
computational power and the abundance of data have made these systems indispensable in …