Showing 1 - 20 results of 227 for search '(( diary from based optimization algorithm ) OR ( primary _ processing optimization algorithm ))', query time: 0.69s Refine Results
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    Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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    Time complexity of different safety algorithms. by Most. Fatematuz Zohora (19429152)

    Published 2024
    “…Additionally, the DBDAA introduces a primary unsafe sequence mechanism that enhances the acceptability and efficiency of the algorithm by allowing processes to participate in safety checks repeatedly after a predetermined amount of system-defined time. …”
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    Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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    Construction process of RF. by Xini Fang (20861990)

    Published 2025
    “…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”
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    Process execution halted due to deadlock. by Most. Fatematuz Zohora (19429152)

    Published 2024
    “…Additionally, the DBDAA introduces a primary unsafe sequence mechanism that enhances the acceptability and efficiency of the algorithm by allowing processes to participate in safety checks repeatedly after a predetermined amount of system-defined time. …”
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    Process fault of Tennessee Eastman process. by Faizan e Mustafa (18004325)

    Published 2024
    “…This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. …”
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    MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

    Published 2024
    “…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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