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  1. 1
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    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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  2. 2
    Robotic arm system with computer vision for colour object Sorting

    Robotic arm system with computer vision for colour object Sorting by Meng, Ong Kok, Pauline, Ong, Soong, Low Ee, Kiong, Sia Chee

    Published 2018
    “…Next, the forward kinematic modelling of the robotic arm using Denavit-Hartenberg algorithm and solving the inverse kinematic of the robotic arm using modified flower pollination algorithm (MFPA) are interpreted. …”
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  3. 3
    Stochastic process and tutorial of the African buffalo optimization

    Stochastic process and tutorial of the African buffalo optimization by Odili, Julius Beneoluchi, Noraziah, Ahmad, Alkazemi, Basem, Zarina, M.

    Published 2022
    “…It is our belief that elaborate manual description of the workings of optimization algorithms make it user-friendly and encourage reproducibility of the experimental procedures performed using this algorithm. …”
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  4. 4
    Stochastic process and tutorial of the African bufalo optimization

    Stochastic process and tutorial of the African bufalo optimization by Odili, Julius Beneoluchi, Noraziah, Ahmad, Alkazemi, Basem Y., M., Zarina

    Published 2022
    “…It is our belief that elaborate manual description of the workings of optimization algorithms make it user-friendly and encourage reproducibility of the experimental procedures performed using this algorithm. …”
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  5. 5
    Development and integration of capacitive sensing and electrocuting grid for mosquitoes surveillance and control

    Development and integration of capacitive sensing and electrocuting grid for mosquitoes surveillance and control by Khoo, Brendan Teng Thiam

    Published 2020
    “…The Central Server stores the surveillance data from all the smart traps and hosts web applications for users to monitor and manipulate the system. The final proposed system is tested with a basic species recognition algorithm and achieved species recognition rate of between 75% to 83% and selective trapping rate of between 63% to 69%.…”
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