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Showing 141 - 160 results of 515 for search '(( elements method algorithm ) OR ((( data processing algorithm ) OR ( based all algorithm ))))*', query time: 0.16s Refine Results
  1. 141
    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
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  2. 142
    The buffered work-pool approach for search-tree based optimization algorithms

    The buffered work-pool approach for search-tree based optimization algorithms by Abu-Khzam, Faisal N.

    Published 2017
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  3. 143
    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems

    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems by Bilal Khurshid (16715865)

    Published 2024
    “…Computational results indicate that the HES-IG algorithm outperforms other available techniques in the literature for all problem sizes.…”
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  4. 144
    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem

    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem by Mantawy, A.H.

    Published 1999
    “…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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  5. 145
    A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms

    A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms by Zaidi, Ali Mustafa

    Published 2007
    “…Numerous such algorithms have been devised, and many have found popularity in different domains. …”
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  6. 146
    Stochastic P-type/D-type iterative learning control algorithms

    Stochastic P-type/D-type iterative learning control algorithms by Saab, Samer S.

    Published 2003
    “…The optimal algorithm is based on minimizing the trace of the input error covariance matrix. …”
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  7. 147
    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

    Published 2022
    “…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …”
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  8. 148
    An ant colony optimization algorithm to improve software quality prediction models

    An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

    Published 2011
    “…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …”
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  9. 149
    A method for optimizing test bus assignment and sizing for system-on-a-chip

    A method for optimizing test bus assignment and sizing for system-on-a-chip by Harmanani, Haidar M.

    Published 2017
    “…We present experimental results that demonstrate the effectiveness of our method while outperforming reported techniques.…”
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  10. 150
    Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data

    Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

    Published 2021
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  11. 151
    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

    Published 2024
    “…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”
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  12. 152
    Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining

    Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining by Alqaryouti, Omar

    Published 2021
    “…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …”
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  13. 153
    Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inverter

    Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv... by Atif Iqbal (5504636)

    Published 2019
    “…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …”
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  14. 154
    I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams

    I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams by Raun, Kristo

    Published 2023
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  15. 155
    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. 156
    Optimal multiobjective design of robust power system stabilizers using genetic algorithms

    Optimal multiobjective design of robust power system stabilizers using genetic algorithms by Abdel-Magid, Y.L.

    Published 2003
    “…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. A conventional speed-based lead-lag PSS is used in this work. …”
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  17. 157
    Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem

    Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem by Montawy, A.H.

    Published 2020
    “…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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  18. 158
    A new family of multi-step quasi-Newton algorithms for unconstrained optimization

    A new family of multi-step quasi-Newton algorithms for unconstrained optimization by Obeid, Samir

    Published 1999
    “…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …”
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  19. 159
    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection

    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection by Alok Singh Chauhan (8264985)

    Published 2023
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  20. 160
    A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates

    A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates by Andrianarison, O.

    Published 2024
    “…The whole piezoelectric multilayered plate’s dynamic stiffness is then built, from which its circular frequencies are computed with the help of the Wittrick-Williams algorithm. A detailed discussion is provided on the implementation aspects, followed by some numerical examples to assess the robustness, accuracy and effectiveness of the proposed method. …”
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