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Showing 821 - 840 results of 969 for search '(( elements network algorithm ) OR ((( data using algorithm ) OR ( system model algorithm ))))', query time: 0.12s Refine Results
  1. 821
  2. 822

    A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer by M. Z. Yildiz (16855476)

    Published 2019
    “…The results of the analysis have shown that the proposed encryption algorithm can be used in identification and verification systems. …”
  3. 823
  4. 824

    Computation of conformal invariants by Mohamed M.S. Nasser (16931772)

    Published 2021
    “…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
  5. 825

    A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems by Raka Jovanovic (17947838)

    Published 2021
    “…The GRASP algorithm is used for case studies on several public transport systems having various properties and sizes. …”
  6. 826

    Neural network-based failure rate prediction for De Havilland Dash-8 tires by Al-Garni, Ahmed Z.

    Published 2006
    “…Six years of data are used for model building and validation. …”
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    article
  7. 827

    Local convexity preserving rational cubic spline curves by Sarfraz, M.

    Published 1997
    “…An algorithm is presented which constructs a curve by interpolating the given data points. …”
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    article
  8. 828
  9. 829
  10. 830

    Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique by Al-Garni, Ahmed Z.

    Published 2006
    “…Six years of data are used for model building and validation. …”
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    article
  11. 831

    Benchmark on a large cohort for sleep-wake classification with machine learning techniques by Joao Palotti (8479842)

    Published 2019
    “…We identified among the traditional algorithms, two approaches that perform better than the algorithm implemented by the actigraphy device used in the MESA Sleep experiments. …”
  12. 832

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth, Kunhoth

    Published 2023
    “…Soft voting and hard voting strategies are employed to ensemble these CNN models. The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …”
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    article
  13. 833

    Parallel processing by Mansour, Nashat

    Published 2005
    “…Parallel algorithms, based on simulated annealing, neural networks and genetic algorithms, for mapping irregular data to multicomputers are presented and compared. …”
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  14. 834

    Multilayer perceptron-based DFE with lattice structure by Zerguine,, Azzedine

    Published 2001
    “…It is shown from computer simulations that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of multilayer perceptron-based DFE. …”
    article
  15. 835

    Multilayer perceptron-based DFE with lattice structure by Zerguine, A.

    Published 2001
    “…It is shown from computer simulations that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of multilayer perceptron-based DFE. …”
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    article
  16. 836
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  18. 838

    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Abu Zitar, Raed

    Published 2021
    “…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …”
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  19. 839

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth Kunhoth (14158908)

    Published 2023
    “…Soft voting and hard voting strategies are employed to ensemble these CNN models. The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …”
  20. 840

    Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

    Published 2020
    “…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …”
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    article