Search alternatives:
research algorithm » search algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
data research » do research (Expand Search)
Showing 1 - 20 results of 716 for search '(( elements data algorithm ) OR ((( data using algorithm ) OR ( data research algorithm ))))', query time: 0.13s Refine Results
  1. 1
    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation

    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation by Joni Salminen (7434770)

    Published 2023
    Save to List
    Saved in:
  2. 2
    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence

    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence by Al Rayhi, Nasser

    Published 2020
    “…Cryptocurrency exchange market have a lot of fake news articles which can affect the market prices by fooling people either to buy or to sell. This research aims to tackle the unpredictability of fluctuating crypto currency prices by researching peer-reviewed articles and determine the applicability of AI algorithm and data mining and its implications for the cryptocurrency market. …”
    Get full text
    Save to List
    Saved in:
  3. 3
    Allocation and re-allocation of data in a grid using an adaptive genetic algorithm

    Allocation and re-allocation of data in a grid using an adaptive genetic algorithm by Mansour, N.

    Published 2006
    “…Allocation and re-allocation of data in a grid using an adaptive genetic algorithm. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  4. 4
    A genetic algorithm for testable data path synthesis

    A genetic algorithm for testable data path synthesis by Harmanani, H.

    Published 2017
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  5. 5
    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
    “…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  6. 6
    Distributed dimension reduction algorithms for widely dispersed data

    Distributed dimension reduction algorithms for widely dispersed data by Abu-Khzam, F.N.

    Published 2002
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  7. 7
    Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems

    Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems by Haraty, Ramzi A.

    Published 2016
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  8. 8
    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm

    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

    Published 2022
    “…Researchers have scrutinized data hiding schemes in recent years. …”
    Get full text
    Save to List
    Saved in:
  9. 9
    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing

    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing by Al Sadawi, Alia

    Published 2016
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  10. 10
    General applicability of genetic and simulated annealing algorithms for data mapping

    General applicability of genetic and simulated annealing algorithms for data mapping by Mansour, Nashat

    Published 1995
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  11. 11
    Physical optimization algorithms for mapping data to distributed-memory multiprocessors

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  12. 12
    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data

    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

    Published 2022
    “…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  13. 13
    A comparison of data mapping algorithms for parallel iterative PDE solvers

    A comparison of data mapping algorithms for parallel iterative PDE solvers by Mansour, Nashat

    Published 1995
    “…We review and evaluate the performances of six data mapping algorithms used for parallel single-phase iterative PDE solvers with irregular 2-dimensional meshes on multicomputers. …”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  14. 14
    An enhanced k-means clustering algorithm for pattern discovery in healthcare data

    An enhanced k-means clustering algorithm for pattern discovery in healthcare data by Haraty, Ramzi A.

    Published 2015
    “…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  15. 15
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  16. 16
    A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality

    A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality by KARAM, ZAINAB HAMDAN

    Published 2018
    Get full text
    Save to List
    Saved in:
  17. 17
    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm

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

    Published 2024
    “…The mathematical design and methodology of the complete PV system were detailed in our prior research, titled "Dynamic and Adaptive Maximum Power Point Tracking Using Sequential Monte Carlo Algorithm for Photovoltaic System" by Odat et al. (2023) [1]. …”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  18. 18
    A comparative study of replacement algorithms used in the scalable asynchronous cache consistency scheme

    A comparative study of replacement algorithms used in the scalable asynchronous cache consistency scheme by Haraty, Ramzi A.

    Published 2006
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  19. 19
    A Survey of Data Clustering Techniques

    A Survey of Data Clustering Techniques by Sobeh, Salma

    Published 2023
    “…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  20. 20
    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006)

    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) by Zeitunlian, Arda

    Published 2006
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:

Search Tools: