Search Results - (( developing social evolution algorithm ) OR ( java binary classification algorithm ))

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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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    Thesis
  2. 2

    Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE) by Tijani, Ismaila Bayo, Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus

    Published 2015
    “…Purpose – The purpose of this paper is to develop a multiobjective differential evolution (MODE)-based extended H-infinity controller for autonomous helicopter control. …”
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    Article
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    Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration by Wang, Shujie, Li, Ning, Liu, Niwen, Habes, Mohammed

    Published 2023
    “…This article explores the evolution of rural media in China, the burgeoning TikTok rural market, and the unique landscape of rural TikTok users. …”
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    Article
  7. 7

    The level of effectiveness of healthcare education on TikTok by Khairul Azli, Najmi Nafis, Mohd Rizal, Siti Hana Natasya, Ridzuan, Abdul Rauf, Baharuddin, Nur Umairah Bazla, Mahlin, Muhamad Aiman, Sataria, Iskhandar Ishraf, Jamri, Mohamad Hafifi

    Published 2025
    “…It serves as a valuable resource for social media users seeking reliable healthcare information and provides content creators with a framework for developing impactful healthcare content. …”
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    Article
  8. 8

    Sentiment analysis on YouTube comments using machine learning techniques based on video games content by Adi Danish, Muhammad Amin, Bhuiyan, Mohaiminul Islam, Nur Shazwani, Kamarudin, Muhammad Zulfahmi, Toh Abdullah@ Toh Chin Lai, Nur Syafiqah, Mohd Nafis

    Published 2026
    “…The rapid evolution of the gaming industry, driven by technological advancements and a burgeoning community, necessitates a deeper understanding of user sentiments, especially as expressed on popular social media platforms like YouTube. …”
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    Conference or Workshop Item