Aims: Fraud remains a persistent issue in various industries, particularly in finance, e-commerce, and healthcare, where traditional rule-based systems have struggled to keep pace with the evolving complexity of fraudulent activities. This study aims to develop an enhanced fraud...
Open access
Research Article10.9734/ajrcos/2024/v17i11518
Aims: This research offers an in-depth exploration of the hurdles organizations face during legacy application modernization. The investigation delves into the primary motivations behind modernization, delineates the associated challenges, and proposes viable strategies and best...
Open access
Research Article10.9734/ajrcos/2023/v16i4386
This study compares Support Vector Machine (SVM), Logistic Regression, and Decision Tree algorithms for liver disease prediction using a dataset sourced from Kaggle, comprising 20,000 training records and approximately 1,000 test records. The research evaluates the algorithms bas...
Open access
Research Article10.9734/ajrcos/2024/v17i6467