Search alternatives:
method algorithm » mould algorithm (Expand Search)
modbo algorithm » mould algorithm (Expand Search)
first algorithm » firefly algorithm (Expand Search)
element » elements (Expand Search)
Showing 1 - 20 results of 197 for search '(((( data modbo algorithm ) OR ( data first algorithm ))) OR ( element method algorithm ))', query time: 0.15s Refine Results
  1. 1
  2. 2

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 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). …”
    Get full text
    article
  3. 3
  4. 4

    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. …”
  5. 5
  6. 6
  7. 7

    A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

    Published 2025
    “…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
    Get full text
    article
  8. 8

    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

    Published 2016
    “…Our algorithm first performs a feature selection step to define differentiable SNPs. …”
    Get full text
    Get full text
    masterThesis
  9. 9
  10. 10

    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms by Usman Ali (6586886)

    Published 2022
    “…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …”
  11. 11
  12. 12

    Using Machine Learning Algorithms to Forecast Solar Energy Power Output by Ali Jassim Lari (22597940)

    Published 2025
    “…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. …”
  13. 13

    Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units by Shanableh, Tamer

    Published 2019
    “…The data embedding algorithm guarantees that a maximum of one partition is modified per message segment, therefore, in a given CU, either 0, 1 or 2 partitions are modified. …”
    Get full text
    article
  14. 14

    Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study by Alkhodari, Mohanad Ahmed

    Published 2021
    “…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
    Get full text
    article
  15. 15
  16. 16

    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
    “…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …”
    Get full text
    Get full text
    article
  17. 17
  18. 18
  19. 19

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

    Published 1994
    “…Mapping data to parallel computers aims at minimizing the execution time of the associated application. …”
    Get full text
    Get full text
    Get full text
    article
  20. 20

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

    Published 2010
    “…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
    Get full text
    Get full text
    Get full text
    article