IEEE

Hybrid Naïve Bayes Models for Scam Detection: Comparative Insights From Email and Financial Fraud

Abstract: Online scams continue to escalate in scale and sophistication, ranging from deceptive phishing emails to complex financial fraud schemes. These evolving threats have surpassed the ...
IEEE

Enhanced Naïve Bayes Model for Intelligent and Secure Email Spam Detection Using Hybrid Feature Engineering and Blockchain-Based Verification

Abstract: Cyber security threat posed by spam emails is phishing, data breach, and system vulnerability. Spam detection using traditional Naïve Bayes classifiers has been used since their simplicity ...
Frontiers

Development of an interpretable machine learning model for predicting sarcopenia in patients undergoing maintenance hemodialysis

1 Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China 2 Department of Nephrology, Guangyuan Central Hospital, Guangyuan, China The final, ...