يعرض 61 - 80 نتائج من 774 نتيجة بحث عن '(((( element based algorithm ) OR ( present data algorithm ))) OR ( data using algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 61

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

    منشور في 2016
    "…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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    article
  2. 62

    Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE حسب SHWEDEH, FATEN

    منشور في 2018
    "…Classification is a Data Mining (DM) technique used for prediction. On the other hand, feature selection is the process of finding the best set of features that has the most impact on a specific target. …"
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    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars حسب Abathar Al-Hamrani (16494884)

    منشور في 2023
    "…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…"
  5. 65

    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

    منشور في 2024
    "…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
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  6. 66

    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

    منشور في 2022
    "…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
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    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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    Web Based Online Hybrid Teaching Method of Network Music Course حسب Abu Zitar, Raed

    منشور في 2022
    "…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
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  15. 75

    Data mining approach to predict student's selection of program majors حسب SIDDARTHA, SHARMILA

    منشور في 2019
    "…Naïve Bayes, Decision Trees offered the best predictions across the different sampling techniques. This study presents an approach to design and deploy a data mining project that can be used as a basis for developing systems to enable the selection of student majors.…"
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  16. 76

    Parallel physical optimization algorithms for allocating data to multicomputer nodes حسب Mansour, Nashat

    منشور في 1994
    "…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. …"
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    article
  17. 77

    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers حسب Mansour, Nashat

    منشور في 1997
    "…Some user parameters are included in the objective function and are architecture- or problem-dependent parameters. The others are used in the GA and SA algorithms. The fault tolerance capability is demonstrated by mapping data to a multicomputer with some faulty processors. …"
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    An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

    منشور في 2011
    "…Objective The objective of this paper is to present an approach that optimizes the accuracy of software quality predictive models when used to classify new data. …"
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    article