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Showing 1 - 20 results of 153 for search '(((( implement scheduling algorithm ) OR ( elements maya algorithm ))) OR ( data means algorithm ))', query time: 0.13s Refine Results
  1. 1
    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. …”
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  2. 2
    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. …”
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  3. 3
    Convergence behavior of the normalized least mean fourth algorithm

    Convergence behavior of the normalized least mean fourth algorithm by Zerguine, A.

    Published 2000
    “…The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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  4. 4
    A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS

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

    Published 2020
    “…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …”
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  5. 5
    Exam scheduling algorithms. (c1999)

    Exam scheduling algorithms. (c1999) by Mikati, Ziad

    Published 1999
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  6. 6
    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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  7. 7
    Convergence and steady-state analysis of the normalized least mean fourth algorithm

    Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

    Published 2007
    “…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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  8. 8
    Convergence and steady-state analysis of the normalized least mean fourth algorithm

    Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

    Published 2007
    “…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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  9. 9
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
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  10. 10
    An incremental approach for test scheduling and synthesis using genetic algorithms

    An incremental approach for test scheduling and synthesis using genetic algorithms by Harmanani, H.

    Published 2017
    “…The method was implemented using C++ on a Linux workstation. Several benchmark examples have been implemented and favorable results are reported.…”
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  11. 11
    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…The method was implemented using C+ + on a Linux workstation. Several benchmark examples have been implemented and favorable design comparisons are reported.…”
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  12. 12
    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by El-Amin, I.

    Published 2020
    “…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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  13. 13
    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by Duffuaa, S. O.

    Published 2020
    “…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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  14. 14
    Burst Round Robin as a Proportional-Share Scheduling Algorithm

    Burst Round Robin as a Proportional-Share Scheduling Algorithm by Helmy, Tarek

    Published 2020
    “…In this paper we introduce Burst Round Robin, a proportional-share scheduling algorithm as an attempt to combine the low scheduling overhead of round robin algorithms and favor shortest jobs. …”
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  15. 15
    Efficient methods and techniques for the open-shop scheduling problem. (c2006)

    Efficient methods and techniques for the open-shop scheduling problem. (c2006) by Bou Ghosn, Steve

    Published 2006
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  16. 16
    Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS)

    Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS) by Kouatli, Issam

    Published 2014
    “…This paper describes the implementation of a hybridized intelligent algorithm to reach a decision under uncertainty and to tune the possible solution using genetic algorithm. …”
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  17. 17
    Simulated tempering and mean field annealing for mapping to multicomputers. (c1996)

    Simulated tempering and mean field annealing for mapping to multicomputers. (c1996) by Aghazarian, Gabriel I.

    Published 1996
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  18. 18
    A new tabu search algorithm for the long-term hydro scheduling problem

    A new tabu search algorithm for the long-term hydro scheduling problem by Mantawy, A.H.

    Published 2002
    “…A new efficient algorithm to solve the long-term hydro scheduling problem (LTHSP) is presented in this paper. …”
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  19. 19
    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique

    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

    Published 2024
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  20. 20
    A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks

    A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks by Saad, Walid

    Published 2012
    “…In this work, we propose a utility-based joint uplink/downlink scheduling algorithm suitable for wireless services involving pairwise communication among mobile users. …”
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