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Multi-objective multi-optima ensemble binary optimization algorithm for identifying optimal set of features for ECG-based identification
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DOI：10.1016/j.asoc.2025.113556.png)
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Abstract
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• DFA-based method extracts fiducial points from digital ECG signals. • Calculated fiducial features are used for ECG-based person identification. • Binary DE variant uses logical operations for mutation and crossover. • Ensemble model integrates three modified evolutionary algorithms. • Multiple optimal feature subsets are identified with enhanced accuracy.
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