Search Results - (( java application optimization algorithm ) OR ( data computer modified algorithm ))

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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
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    Optimized clustering with modified K-means algorithm by Alibuhtto, Mohamed Cassim

    Published 2021
    “…Generally, the proposed modified k-means algorithm is able to determine the optimum number of clusters for huge data.…”
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    Thesis
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    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
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    Modified word representation vector based scalar weight for contextual text classification by Abbas Saliimi, Lokman

    Published 2024
    “…To validate this algorithm, the modified word vectors are compared with original LLM-generated word vectors to evaluate their reflection of the intended context. …”
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    Thesis
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    A modified approach to improve the performance of AES using feistel structure by Al-Ansi, Afeef Yahya Ahmed

    Published 2018
    “…A most popular and widely adopted symmetric encryption algorithm is the Advanced Encryption Standard (AES). …”
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    Thesis
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    A modified partially mapped multiCrossover genetic algorithm for Two-Dimensional Bin Packing Problem by Sarabian, Maryam, Lee, Lai Soon

    Published 2010
    “…Results: Extensive computational experiments of the new proposed algorithm, MXGA, Standard GA (SGA), Unified Tabu Search (UTS) and Randomized Descent Method (RDM) were performed using benchmark data sets. …”
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    Article
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    Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases by Hafeez, Ahmad

    Published 2021
    “…However, the performance of the classical location and scatter estimators is usually flawed by singularity and outliers’ problems in high dimensional data sets. The study aimed to modify the existing ML test by incorporating the Cholesky banded regularization methods and thresholding sample covariance matrix to resolve singularity problems and incorporating the L₁-median with Weiszfeld’s algorithm (MLw) covariance matrix to solve outliers’ problem in high dimensional data sets. …”
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    Thesis
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