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    Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques by Vasant, P.M., Rahman, I., Singh, B.S.M., Abdullah-Al-Wadud, M.

    Published 2016
    “…However, PSOGSA method takes much longer computational time than single methods because of incorporating two single methods in one algorithm. …”
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    Article
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    Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques by Vasant, P.M., Rahman, I., Singh, B.S.M., Abdullah-Al-Wadud, M.

    Published 2016
    “…However, PSOGSA method takes much longer computational time than single methods because of incorporating two single methods in one algorithm. …”
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    Article
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    Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO) by Liew, Jia Hun

    Published 2024
    “…Swarm intelligence is a branch of artificial intelligence that studies the collective behavior of groups of social animals such as birds, fish, and bees. …”
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    Thesis
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    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System by Abidin, Zulkifli Zainal

    Published 2013
    “…Swarm intelligence can be described as a complex behaviour generated from a large number of individual agents, where each agent follows very simple rules. …”
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    Thesis
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    A real-time integrated fire detection and alarm (FDA) system for network based building automation by Anwar, Farhat, Islam, Rounakul, Hussain, Sabahat, Rashid, Muhammad Mahbubur, Shaikh, Zuhaib

    Published 2017
    “…This work proposes an improved framework for FDA system to ensure a robust, intelligent network of FDA control panels in real-time. …”
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    Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm by Ahmad@Mohd Yusoff, Faisul Arif

    Published 2016
    “…Application of mobile multi-robot with group and intelligence bio-inspired classified as swarm mobile robot. …”
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    Thesis
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    Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

    Published 2022
    “…These algorithms identify hidden patterns or data groupings without the assistance of a human. …”
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    Undergraduates Project Papers
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    A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…This biases the model performance to the most represented ones. We propose a new reinforced active learning strategy based on a deep reinforcement learning algorithm. …”
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    Article
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    Nomadic people optimizer (NPO) for large-scale optimization problems by Mohamd Salih, Sinan Qahtan

    Published 2019
    “…Good performances were also achieved with the NPO with respect to noise and limited information problems. A Wilcoxon Signed-Rank Test was performed to measure the pair-wise statistical performances of the algorithms and from the results, NPO recorded a better statistical performance compared to the other benchmarking algorithms. …”
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    Thesis
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    Protein Sequences Classification Using Modular RBF Neural Networks by Wang, Dianhui, Lee, Nung Kion, Dillon, Tharam S., Hoogenraad, Nicholas J.

    Published 2002
    “…The intelligent classification techniques described in this paper aims to enhance the performance of single neural classifiers based on a centralized information structure in terms of recognition rate, generalization and reliability. …”
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    Book Chapter
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    Investment 101: robo-advisor by Ahmad, Junaidah Hanim

    Published 2024
    “…Fret not, robo-advisors may be able to help. What is a robo-advisor? By definition, a robo-advisor is a digital investment platform that automates investment portfolio using artificial intelligence (AI) algorithms. …”
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    Article