Search Results - (( a distribution using algorithm ) OR ( _ executive ((between algorithm) OR (tree algorithm)) ))

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  1. 1

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

    Published 2016
    “…In ELB algorithm, the tasks are distributed among resources based on their execution time range. …”
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    Thesis
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    Replica Creation Algorithm for Data Grids by Madi, Mohammed Kamel

    Published 2012
    “…This thesis presents a new replication algorithm that improves data access performance in data grids by distributing relevant data copies around the grid. …”
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    Thesis
  4. 4

    Improving pipelined time stepping algorithm for distributed memory multicomputers by Ng, Kok Fu, Norhashidah Hj. Mohd. Ali

    Published 2010
    “…We present a modified pipelined time stepping algorithm based on delayed pipelining and reduced communication strategies to improve overall execution time on a distributed memory environment using MPI. …”
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    Article
  5. 5

    An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis by Ong, Phaik Ling

    Published 2016
    “…On the other hand, Apriori-T with indexing enumeration tree is used for low cost FPM. A semiconductor manufacturing case study with Work In Progress data and true alarm data is used to proof the proposed algorithm. …”
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    Thesis
  6. 6

    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing by Goh, Kwang Yi

    Published 2023
    “…An experiment was carried out, and the results collected were analyzed using a nonparametric statistical test, the Mann-Whitney U test, which indicates the level of significance between the distributions of data collection. …”
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    Thesis
  7. 7

    Enhance efficiency of answering XML keyword query using incompact structure of MCCTree by Sazaly, Ummu Sulaim

    Published 2012
    “…Since this study focuses on efficiency of the algorithm, elapsed time for each execution is collected from the experiment. …”
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    Thesis
  8. 8

    The visualization of power density and temperature distribution of electronic system using elliptic PDE solver by Alias, Norma, Satam, Noriza, A. Ghaffar, Zarith Safiza

    Published 2008
    “…Numerical analysis is done in terms of execution time, number of iterations and computational complexity of the algorithm being used. …”
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    Article
  9. 9

    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

    Published 2022
    “…Hence, these gives a superior middle way between the execution of cost and time which makes it be dependable for its implementation in a real cloud computing environment. …”
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    Thesis
  10. 10

    Parallel execution of distributed SVM using MPI (CoDLib) by Salleh N.S.M., Suliman A., Ahmad A.R.

    Published 2023
    “…Instead of using a single machine for parallel computing, multiple machines in a cluster are used. …”
    Conference paper
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    Statistical selection algorithm for peer-to-peer system by Othman, Mohamed, Kweh, Yeah Lun

    Published 2008
    “…Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. …”
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    Article
  13. 13

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…These steps have conducted using the MEMPHA model and ROA algorithm to optimize three metrics: execution time, total communication volume, and imbalance ratio (load balancing). …”
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    Thesis
  14. 14

    Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen by Shawkat S.A., Tuama B.A., Al-Barazanchi I.

    Published 2023
    “…This increases the security problems in security such as data confidentiality, data integrity and data availability, so the solution of such problems are conducted by adopting data encryption is very important for securing users data. In this paper, a comparative study is done between the two security algorithms on a cloud platform called eyeOS. …”
    Article
  15. 15

    Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman by Abdul Rahman, Muhammad Faiz Hazim

    Published 2022
    “…There are a few outcomes that have been achieved to decide between those two machine learning methods that have better accuracy to carry out analysis on the dataset which of the two, but rather Decision Tree, have the greater accuracy. …”
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    Student Project
  16. 16

    Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian by Talebian, Seyed Hamid

    Published 2013
    “…Our results show that algorithms which use elitism feature are superior to other algorithms in most of the metrics. …”
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    Thesis
  17. 17

    Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique by Nahla Mohammedelzein, Elawad Babiker

    Published 2021
    “…The result revealed that there is a strong correlation between execution time and throughput with a strength of 99.9% percent as confirmed by the Pearson correlation coefficient. …”
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    Thesis
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    Sales prediction for Adha Station by using predictive analytics by Mohd Mokhid, Muhammad Amier Latieff

    Published 2025
    “…Additionally, pre-processing is conducted using the RapidMiner application prior to mapping the cleaned data with three distinct algorithms for predictive analysis: Decision Tree, Random Forest, and Multiple Linear Regression techniques. …”
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    Student Project
  20. 20

    Mitigating imbalanced classification problems in academic performance with resampling methods / A’zraa Afhzan Ab Rahim and Norlida Buniyamin by Ab Rahim, A’zraa Afhzan, Buniyamin, Norlida

    Published 2023
    “…This can create problems when predicting academic performance using machine learning algorithms, which assume that the datasets have a balanced distribution across all classes. …”
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    Article