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Showing 61 - 80 results of 347 for search '(((( data three algorithms ) OR ( sample processing algorithm ))) OR ( elements method algorithm ))', query time: 0.13s Refine Results
  1. 61
    The Effects of Data Mining on Small Businesses in Dubai

    The Effects of Data Mining on Small Businesses in Dubai by AlMutawa, Rasha

    Published 2011
    “…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …”
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  2. 62
    Graph Contraction for Mapping Data on Parallel Computers

    Graph Contraction for Mapping Data on Parallel Computers by Mansour, N.

    Published 1994
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  3. 63
    Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation

    Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation by Zakaria Shams Siam (22048001)

    Published 2024
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  4. 64
    Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements

    Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements by Stefano Nardean (14151900)

    Published 2023
    “…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. …”
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  5. 65
    Intelligent Rapidly-Exploring Random Tree Star Algorithm

    Intelligent Rapidly-Exploring Random Tree Star Algorithm by Ahmed, Khidir Galal Eldin Khidir

    Published 2024
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  6. 66
    A hybrid graph representation for recursive backtracking algorithms

    A hybrid graph representation for recursive backtracking algorithms by Abu-Khzam, Faisal N.

    Published 2017
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  7. 67
    Evolutionary algorithm for predicting all-atom protein structure

    Evolutionary algorithm for predicting all-atom protein structure by Mansour, Nashat

    Published 2011
    “…We evaluate our algorithm on proteins taken from a Protein Data Bank. …”
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  8. 68
    Social spider optimization algorithm: survey and new applications

    Social spider optimization algorithm: survey and new applications by Abualigah, Laith

    Published 2024
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  9. 69
    Data redundancy management for leaf-edges in connected environments

    Data redundancy management for leaf-edges in connected environments by Mansour, Elio

    Published 2022
    “…In this work, we focus on managing data redundancies in connected environments. Existing approaches suffer from (i) disregarding edge data redundancies either at the edge or at the core of the network; (ii) disregarding sensor mobility and the dynamicity of the network; (iii) disregarding the limited resources of edge devices; (iv) disregarding network/infrastructure resources; and (v) disregarding data consumer needs/requirements when cleaning the data redundancies. …”
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  10. 70
    (k, l)-Clustering for Transactional Data Streams Anonymization

    (k, l)-Clustering for Transactional Data Streams Anonymization by Tekli, Jimmy

    Published 2018
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  11. 71
    GenDE: A CRF-Based Data Extractor

    GenDE: A CRF-Based Data Extractor by Kayed, Mohammed

    Published 2020
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  12. 72
    RRT and Octomap based 3D environment exploration and mapping

    RRT and Octomap based 3D environment exploration and mapping by Koirala, Koshish

    Published 2020
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  13. 73
    A Scatter search algorithm for exam scheduling. (c2006)

    A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

    Published 2006
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  14. 74
    A fast exact sequential algorithm for the partial digest problem

    A fast exact sequential algorithm for the partial digest problem by Mostafa M. Abbas (17058093)

    Published 2016
    “…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …”
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  15. 75
    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

    Published 2006
    “…The results obtained show that the introduced algorithm outperforms the deterministic technique based on the direct cover approach [3] in terms of the average number of product terms required to realize a given MVL function.…”
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  16. 76
    Exploring Semi-Supervised Learning Algorithms for Camera Trap Images

    Exploring Semi-Supervised Learning Algorithms for Camera Trap Images by Sajun, Ali Reza

    Published 2022
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  17. 77
    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

    Published 2023
    “…The DT is trained offline using a set of experimental data and updated online to get the maximum possible accuracy. …”
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  18. 78
    Evolutionary algorithms for state justification in sequential automatic test pattern generation

    Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

    Published 2005
    “…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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  19. 79
    Sentiment analysis for Arabizi in social media. (c2015)

    Sentiment analysis for Arabizi in social media. (c2015) by Tobaili, Taha

    Published 2015
    “…We filtered them and tested a small sample across our classifier achieving 80% classification accuracy. …”
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  20. 80
    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

    Published 2022
    “…A precise prediction of blueberry harvest losses is necessary to mitigate such losses. The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …”
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