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Showing 221 - 240 results of 689 for search '(( element method algorithm ) OR ((( based learning algorithms ) OR ( based method algorithm ))))', query time: 0.12s Refine Results
  1. 221

    Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

    Published 2019
    “…However, few methods have targeted sentiment-based music composition: generating music that expresses human emotions. …”
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  2. 222

    Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems by Khaled Dhibi (16891524)

    Published 2023
    “…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. …”
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    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. …”
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    A novel linear time corner detection algorithm by Sarfraz, M.

    Published 2005
    “…We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. …”
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  9. 229

    A neural networks algorithm for data path synthesis by Harmanani, Haidar M.

    Published 2003
    “…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …”
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  10. 230

    A direct algorithm for the parameterized face cover problem by Abu-Khzam, Faisal N.

    Published 2017
    “…Recent improvements to face cover algorithms are based on the theory of fixed-parameter tractability and reductions to planar dominating set. …”
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  11. 231

    A genetic algorithm approach for regrouping service sites by Mansour, Nashat

    Published 2004
    “…We propose a two-phase method, based on a weighted-graph problem formulation, for providing good suboptimal solutions. …”
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  12. 232

    Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Yassine Himeur (14158821)

    Published 2021
    “…In this regard, this paper is an in-depth review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence. Specifically, an extensive survey is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted, such as machine learning algorithms, feature extraction approaches, anomaly detection levels, computing platforms and application scenarios. …”
  13. 233

    A Stochastic Newton-Raphson Method with Noisy Function Measurements by Saab, Khaled Kamal

    Published 2016
    “…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …”
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  14. 234

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
    “…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …”
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    Three-phase simulated annealing algorithms for exam scheduling by Mansour, Nashat

    Published 2003
    “…We decompose the problem into three phases and propose simulated annealing algorithms for these phases. Hence, we refer to our solution methods as 3-phase simulated annealing (3PSA). …”
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    Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements by Stefano Nardean (14151900)

    Published 2023
    “…This preconditioner, denoted as Block CPR (BCPR), is specifically designed for Lagrange multipliers-based flow models, such as those generated by Mixed Hybrid Finite Element (MHFE) approximations. …”
  20. 240

    A hybrid graph representation for exact graph algorithms by Abu-Khzam, Faisal N.

    Published 2014
    “…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
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