Search Results - (( java implementation max algorithm ) OR ( knowledge reading pattern algorithm ))

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  1. 1

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
    Review
  2. 2

    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…Many algorithms have been implemented to solve the grid scheduling problem. …”
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    Thesis
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    An Intelligent Detection System for Rheumatoid Arthritis (RA) Disease using Image Processing by Hajyyev, Abdyrahym

    Published 2014
    “…Out of five types of staining patterns nucleolar and centromere share similar visual appearance and the same is true to homogeneous, fine-speckled, coarse-speckled patterns. …”
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    Final Year Project
  5. 5

    A hybrid approach to improve recommendation system in E-tourism by Rahman M.M., Zaki Z.B.M., Alwi N.H.B.M., Monirul Islam M.

    Published 2024
    conference output::conference proceedings::conference paper
  6. 6

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…The flexible and intelligent recognition is not only depending on the informatiOn that belonged by target object,but also is supported by other information, including past knowledge and contextual information.For an example, when we read a book, we do not usually seem to read it -by recognizing each character one by one. …”
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    Thesis
  7. 7

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…The flexible and intelligent recognition is not only depending on the informatiOn that belonged by target object, but also is supported by other information, including past knowledge and contextual information. For an example, when we read a book, we do not usually seem to read it -by recognizing each character one by one. …”
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    Thesis
  8. 8

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…The flexible and intelligent recognition is not only depending on the informatiOn that belonged by target object,but also is supported by other information, including past knowledge and contextual information.For an example, when we read a book, we do not usually seem to read it -by recognizing each character one by one. …”
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    Undergraduates Project Papers
  9. 9