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Machine Learning based Credit Card Fraud Detection using Binary Dragonfly Algorithm
Credit card fraud detection is crucial for financial institutions to prevent unauthorized transactions; however, it is hindered by challenges such as high-dimensional data and class imbalance. This study proposes a novel approach that integrates the Binary Dragonfly Algorithm (BDA) for Feature Selection (FS) with K-Nearest Neighbors (K-NN) for ...Ashkivar, Ali, Ghousi, Rouzbeh
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A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2021Sayed Pedram Haeri Boroujeni +1 more
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Hybrid Binary Dragonfly Algorithm with Grey Wolf Optimization for Feature Selection
2023Sireesha Moturi +3 more
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An improved Dragonfly Algorithm for feature selection
Knowledge-Based Systems, 2020Majdi Mafarja +2 more
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EEG Based Epileptic Seizure Detection Using Binary Dragonfly Algorithm and Deep Neural Networks
2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES)J. Siva Ramakrishna +3 more
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