Search Results - (( job application model algorithm ) OR ( _ application learning algorithm ))

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    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

    Published 2024
    “…This paper proposes a sophisticated Job Position Prediction system utilizing Machine Learning algorithms and leveraging data from LinkedIn profiles. …”
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    Thesis
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    Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

    Published 2012
    “…The limitations of those algorithms were addressed and this leads to the proposition of an algorithm that has the ability to map the impatient jobs to virtual machines near its input, output, application, or forth party. …”
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    Thesis
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    Fuzzy C-Mean And Genetic Algorithms Based Scheduling For Independent Jobs In Computational Grid by Lorpunmanee, Siriluck, Md Sap, Mohd Noor, Abdullah, Abdul Hanan

    Published 2006
    “…Our model presents the method of the jobs classifications based mainly on Fuzzy C-Mean algorithm and mapping the jobs to the appropriate resources based mainly on Genetic algorithm. …”
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    Article
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    A priority based job scheduling algorithm in cloud computing by Shamsollah, Ghanbari, Othman, Mohamed

    Published 2012
    “…The proposed algorithm is based on multiple criteria decision making model.…”
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    Conference or Workshop Item
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    A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach by Bhanbhro, H., Kwang Hooi, Y., Kusakunniran, W., Amur, Z.H.

    Published 2023
    “…Featured Application: The present study is among the first research efforts to generate augmented datasets of complex single-line diagrams to detect symbols using deep-learning-based algorithms. …”
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    Article
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    A New Model for Trojan Detection using Machine Learning Inspired by Al-Furqan Verse by Madihah Mohd Saudi, Areej Mustafa Abuzaid, Masrur Ibrahim

    Published 2024
    “…Therefore, in this research paper, a new model called ETDMo (Efficient Trojan detection model) is built to detect Trojan horse more efficiently. …”
    Article
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