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  1. 1

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    “…The hyperparameter optimization achieved best performance by implementing the EHS algorithm at the system level, thereby increasing feature-detection accuracy and bridging the gap between deep learning innovation and real-world malware detection and response models. …”
    thesis::doctoral thesis
  4. 4

    A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm by Ahmed Ali Mohammed, Al-saffar

    Published 2024
    “…The practical applications of handwriting recognition in many of the current real-world applications rely on the processing of sequential texts, where the language must be detected with efficiency, suggesting the development of a flexible handwriting recognition model. …”
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  5. 5

    An autonomous wheelchair speed control using fuzzy logic controller / Muhammad Ashraf Mohamad Ghazali by Mohamad Ghazali, Muhammad Ashraf

    Published 2025
    “…Future enhancements could involve integrating additional sensors and refining the control algorithm for enhanced performance in real-world applications.…”
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