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Showing 121 - 140 results of 652 for search '(( element data algorithm ) OR ((( time using algorithm ) OR ( data mining algorithm ))))', query time: 0.12s Refine Results
  1. 121
    A Machine Learning Approach to Predicting Diabetes Complications

    A Machine Learning Approach to Predicting Diabetes Complications by Jian, Yazan Khaled

    Published 2021
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  2. 122
    Genetic algorithms applications in load frequency control

    Genetic algorithms applications in load frequency control by Abdel-Magid, Y.L.

    Published 1995
    “…A digital simulation is used in conjunction with the genetic algorithm optimization process. …”
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  3. 123
    A New Parallel Genetic Algorithm Model

    A New Parallel Genetic Algorithm Model by Al-Somani, Turki F.

    Published 2020
    “…The reduction of the implementation processing time is the basic motivation of genetic algorithms parallelization. …”
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  4. 124
    Empirical comparison of regression test selection algorithms

    Empirical comparison of regression test selection algorithms by Mansour, Nashat

    Published 2001
    “…The empirical results show that the five algorithms can be used for different requirements of regression testing. …”
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  5. 125
    Natural optimization algorithms for optimal regression testing

    Natural optimization algorithms for optimal regression testing by Mansour, Nashat

    Published 1997
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  6. 126
    A kernelization algorithm for d-Hitting Set

    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …”
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  7. 127
    A novel approach for real time flows scheduling

    A novel approach for real time flows scheduling by Fawaz, W.

    Published 2006
    “…A plethora of packet-scheduling algorithms have been proposed in the literature in order to meet the stringent time constraints of real time flows at an IP router level. …”
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  8. 128
    Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement

    Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement by Nagwa F. Ibrahim (17334201)

    Published 2025
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  9. 129
    Algorithms for Pixelwise Shape Deformations Preserving Digital Convexity

    Algorithms for Pixelwise Shape Deformations Preserving Digital Convexity by Tarsissi, Lama

    Published 2022
    “…In this article, we propose algorithms for pixelwise deformations of digital convex sets preserving their convexity using the combinatorics on words to identify digital convex sets via their boundary words, namely Lyndon and Christoffel words. …”
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  10. 130
    An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis

    An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis by Harmanani, Haidar

    Published 2005
    “…The proposed method was implemented using C++ on a Linux workstation. We tested our method on a set of high-level synthesis benchmarks, all yielding good solutions in a short time. …”
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  11. 131
    Algorithmic Study of Online Multi-Facility Location Problems

    Algorithmic Study of Online Multi-Facility Location Problems by Markarian, Christine

    Published 2022
    “…We propose the first online algorithms for these variants and measure their performance using the standard notion of competitive analysis. …”
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  12. 132
    A neural networks algorithm for data path synthesis

    A neural networks algorithm for data path synthesis by Harmanani, Haidar M.

    Published 2003
    “…The algorithm has a running time complexity of O(1) for a circuit with n operations and c shared resources. …”
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  13. 133
    Optimizing Document Classification: Unleashing the Power of Genetic Algorithms

    Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by Ghulam Mustafa (458105)

    Published 2023
    “…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”
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  14. 134
    A direct algorithm for the parameterized face cover problem

    A direct algorithm for the parameterized face cover problem by Abu-Khzam, Faisal N.

    Published 2017
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  15. 135
    An exact algorithm for connected red–blue dominating set

    An exact algorithm for connected red–blue dominating set by Abu-Khzam, Faisal N.

    Published 2011
    “…In this paper we present a first non-trivial exact algorithm whose running time is in O⁎(n1.3645). We use our algorithm to solve the Connected Dominating Set problem in O⁎(n1.8619). …”
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  16. 136
    A new approach to record clustering for large databases. (c1997)

    A new approach to record clustering for large databases. (c1997) by Makhoulian, Raffi H.

    Published 1997
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  17. 137
    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines

    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines by Ali, Mustafa

    Published 2015
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  18. 138
    A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS

    A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS by Zerguine, Azzedine

    Published 2020
    “…The first proposed algorithm uses a simple normalization of the regressor and is called simply the NLMF. …”
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  19. 139
    A comparative study of five regression testing algorithms

    A comparative study of five regression testing algorithms by Mansour, N.

    Published 1997
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  20. 140
    Data reductions and combinatorial bounds for improved approximation algorithms

    Data reductions and combinatorial bounds for improved approximation algorithms by Abu-Khzam, Faisal N.

    Published 2016
    “…We will expose in this paper a similar strategy for obtaining polynomial-time approximation algorithms. Our method features the use of approximation-preserving reductions, akin to the notion of parameterized reductions. …”
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