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Found 5 papers, 2 papers with code
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
This survey paper provides a comprehensive analysis of big data algorithms in recommendation systems, addressing the lack of depth and precision in existing literature.
Neural Bounding
Bounding volumes are an established concept in computer graphics and vision tasks but have seen little change since their early inception.
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms
Deep learning applied to electrocardiogram (ECG) data can be used to achieve personal authentication in biometric security applications, but it has not been widely used to diagnose cardiovascular disorders.
An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed Electrocardiograms
We evaluated the performance of the proposed system using a confusion matrix and achieved up to 95% accuracy by compact data analysis.
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning
We evaluated the performance of the proposed system and found that it could achieve up to the 92 percent identification accuracy.
