Search alternatives:
learning algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data learning » deep learning (Expand Search)
element » elements (Expand Search)
Showing 1 - 20 results of 852 for search '(( element method algorithm ) OR ((( data learning algorithm ) OR ( problem using algorithm ))))', query time: 0.13s Refine Results
  1. 1
  2. 2
  3. 3

    Web Based Online Hybrid Teaching Method of Network Music Course by Abu Zitar, Raed

    Published 2022
    “…In the context of big data, the lengthy personalized screening process of users has become one of the problems to be solved. 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. …”
    Get full text
  4. 4

    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
  5. 5
  6. 6

    Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms by Almahmood, Mothanna

    Published 2023
    “…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …”
    Get full text
  7. 7
  8. 8
  9. 9
  10. 10

    A method for the minimum coloring problem using genetic algorithms by Harmanani, Haidar

    Published 2006
    “…This paper presents a method to solve the graph coloring problem for arbitrary graphs using genetic algorithms. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
  11. 11

    Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

    Published 2004
    “…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  12. 12

    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† by Harmanani, Haidar

    Published 2010
    “…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …”
    Get full text
    Get full text
    Get full text
    article
  13. 13
  14. 14

    Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology by Senyuk, Mihail

    Published 2023
    “…Features of transmission line maintenance were used to increase accuracy of estimation. Algorithms were tested using the test power system IEEE39. …”
    Get full text
    article
  15. 15
  16. 16
  17. 17
  18. 18

    Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem by Haraty, Ramzi A.

    Published 2018
    “…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  19. 19
  20. 20

    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. …”