In response to the pressing requirement for precise and easily accessible COVID-19
detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non …

This study investigates the application of regression neural networks, particularly the fitrnet
model, in predicting the hardness of steels. The experiments involve extensive tuning of …

Abstract Software Defect Prediction (SDP) is essential for improving software quality during
testing. As software systems grow more complex, accurately predicting defects becomes …

The increasing use of credit cards in global financial transactions offers significant
convenience for consumers and businesses. However, credit card fraud remains a major …

Objective Sarcopenia, a condition characterized by the progressive loss of skeletal muscle
mass and strength, poses significant challenges in research due to missing data. Incomplete …

Credit card fraud detection remains a significant challenge in the financial industry,
necessitating advanced models to identify fraudulent activities while minimizing false …

Hate speech classification is a critical task in the domain of natural language processing,
aiming to mitigate the negative impacts of harmful content on digital platforms. This study …

This study provides a comprehensive assessment of an extended set of modern classifiers
designed for electroencephalography signal analysis in brain-computer interface systems …

Fraud in the auto insurance industry is a significant challenge for insurers globally.
Policyholders engage in fraudulent activities like falsifying documents and creating fake …

Kidney cancer requires accurate and timely diagnosis to guide effective treatment as a
particularly prevalent cancer in older adults. Early detection and the precise identification of …