Enhancing Fraud Detection in Online E-Commerce Transactions through Deep Learning Auto encoder Model
Abstract: Fraud detection in internet transactions is crucial for maintaining security in digital transactions. Traditional methods often rely on rule-based systems or supervised learning algorithms, ...
Abstract: Almost all tax authorities prioritize the detection of tax fraud as a means of optimizing their earnings and upholding strict compliance standards. When devising standard tax models and ...
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