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Open access Aug 2026

AN OPTIMIZED XGBOOST-BASED FRAMEWORK FOR HEART FAILURE RISK CLASSIFICATION

A machine learning framework for heart failure survival prediction that makes use of an optimized XGBoost model combined with the Synthetic Minority Over-sampling Technique (SMOTE) has the potential to enhance patient outcomes through accurate and prompt clinical decision-making.

Anees Sultana, S. Khanam · 0 citations
Open access Aug 2026

SECURE AND TRANSPARENT BLOCKCHAIN-BASED E-VOTING SYSTEM WITH SMART CONTRACTS, DIFFERENTIAL PRIVACY, AND EMAIL AUTHENTICATION

The primary mechanism usually used to preserve democracy in a particular society is election. Blockchain (BC) and other recent technology developments have previously been used in earlier projects to implement unconventional e-Voting systems. The primary objective of these suggestions is to retain openness, confidence,...

I. Begum, S. Khanam · 0 citations
Open access Aug 2026

AN OPTIMIZED YOLOV10 FRAMEWORK FOR DUAL DETECTION OF SAFETY HELMETS AND LICENSE PLATES

This study suggests an enhanced safety helmet detection method based on YOLOv10 to solve the low detection accuracy of current algorithms for small objects and complicated settings in different situations.

Iqra Aziza Khatoon, S. Khanam · 0 citations

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