Publications by authors named "Nedunchelian R"
Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection.
Comput Intell Neurosci
January 2023
Credit card fraud has drastically increased in recent times due to the advancements in e-commerce systems and communication technology. Falsified credit card transactions affect the financial status of the companies as well as clients regularly and fraudsters incessantly try to develop new approaches to commit frauds. The recognition of credit card fraud is essential to sustain the trustworthiness of e-payments.
View Article and Find Full Text PDFDiabetes Mellitus Prediction and Severity Level Estimation Using OWDANN Algorithm.
Comput Intell Neurosci
September 2021
Article Synopsis
- Diabetes is a major global health issue, with accurate early diagnosis potentially reducing its risks and incidence.
- Existing prediction methods for diabetes have been criticized for low accuracy and long training times, prompting the development of a new algorithm called OWDANN.
- The OWDANN system features two phases for predicting diabetes and estimating its severity, achieving impressive results with nearly 99% accuracy and superior performance metrics compared to other methods.