Search Results - (( development content optimisation algorithm ) OR ( java binary classification algorithm ))

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    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
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    Development of a scalable video compression algorithm by Khalifa, Othman Omran, Issa, Sinzobakwira, Olanweraju, Rashidah Funke, Al Khazmi, El Mahdi A

    Published 2012
    “…The development of multimedia propagations and applications has led to a greater expansion in the field of video transmission over a heterogeneous media as well as iterative delivery platforms with dedicated content requirements. …”
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    Proceeding Paper
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    An Automated System For Classifying Conference Papers by Ngan, Seon Choon Han

    Published 2021
    “…Grid search optimisation was then performed but no significant improvements could be observed. …”
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    Final Year Project / Dissertation / Thesis
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    Menu recommendation for Restoran Jannat Saba using Market Basket analysis / Dinie Sorfina Fathanah Kamarul Ariffin by Kamarul Ariffin, Dinie Sorfina Fathanah

    Published 2025
    “…This project aims to identify associations between menu items, which help optimise menu offerings by applying CRISP-DM methodology and Market Basket Analysis. …”
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    Thesis
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    Abnormal event detection in video surveillance / Lim Mei Kuan by Lim, Mei Kuan

    Published 2014
    “…Therefore, by considering tracking as an optimisation problem, the proposed SwATrack algorithm searches for the optimal distribution of motion model without making prior assumptions, or prior learning of the motion model. …”
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    Thesis