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Showing 1 - 20 results of 429 for search '(( tests using algorithms ) OR ((( predict means algorithm ) OR ( neural coding algorithm ))))', query time: 0.14s Refine Results
  1. 1
    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
    “…The objective is to produce a model capable of predicting centroids with greater accuracy than the traditional random initialization used in K-means. …”
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  2. 2
    A method for test scheduling using an evolutionary approach. (c2000)

    A method for test scheduling using an evolutionary approach. (c2000) by Noujaim, Jad

    Published 2000
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  3. 3
    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory by Nadia Rasheed (22997257)

    Published 2025
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  4. 4
    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 is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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  5. 5
    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
    “…This paper presents a new and an efficient method for concurrent BIST synthesis and test scheduling. This method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and multiplexers. …”
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  6. 6
    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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  7. 7
    An incremental approach for test synthesis and scheduling using genetic algorithms. (c2002)

    An incremental approach for test synthesis and scheduling using genetic algorithms. (c2002) by Hajar, Aouni

    Published 2002
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  8. 8
    A hybrid distributed test generation method using deterministic and genetic algorithms

    A hybrid distributed test generation method using deterministic and genetic algorithms by Harmanani, H.

    Published 2017
    “…The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. …”
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  9. 9
    Using Machine Learning Algorithms to Forecast Solar Energy Power Output

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

    Published 2025
    “…The data forecasting horizon used was a 24-h window in steps of 30 min. 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. …”
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  10. 10
    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms

    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms by Md Ferdous Wahid (13485799)

    Published 2022
    “…A Friedman's test and Wilcoxon Sign-Rank post hoc analysis with Bonferroni correction show that PG prediction errors using GP are significantly lower than using the ANN model (p < 0.05). …”
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  11. 11
    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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  12. 12
    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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  13. 13
    Power-constrained system-on-a-chip test scheduling using a genetic algorithm

    Power-constrained system-on-a-chip test scheduling using a genetic algorithm by Harmanani, Haidar M.

    Published 2006
    “…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …”
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  14. 14
    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network

    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network by Xiaofang Pan (1895950)

    Published 2019
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  15. 15
    Empirical comparison of regression test selection algorithms

    Empirical comparison of regression test selection algorithms by Mansour, Nashat

    Published 2001
    “…The empirical results show that the five algorithms can be used for different requirements of regression testing. …”
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  16. 16
    Natural optimization algorithms for optimal regression testing

    Natural optimization algorithms for optimal regression testing by Mansour, Nashat

    Published 1997
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  17. 17
    Metaheuristic Algorithm for State-Based Software Testing

    Metaheuristic Algorithm for State-Based Software Testing by Haraty, Ramzi A.

    Published 2018
    “…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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  18. 18
    Test case generation for path coverage. (c2000)

    Test case generation for path coverage. (c2000) by Salame, Miran

    Published 2000
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  19. 19
    A comparative study of five regression testing algorithms

    A comparative study of five regression testing algorithms by Mansour, N.

    Published 1997
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  20. 20
    Scatter Search algorithm for Protein Structure Prediction

    Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

    Published 2016
    “…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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