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Showing 61 - 80 results of 86 for search '(( elements based algorithm ) OR ((( predict pso algorithm ) OR ( neural coding algorithm ))))', query time: 0.09s Refine Results
  1. 61
    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements

    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements by Emara-Shabaik, Husam

    Published 2020
    “…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …”
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  2. 62
    Communications in electronic textile systems

    Communications in electronic textile systems by Nakad, Z.

    Published 2017
    “…A new algorithm based on token grid schemes is presented that takes advantage of the e-textile physical configuration.…”
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  3. 63
    Efficient unified Montgomery inversion with multi-bit shifting

    Efficient unified Montgomery inversion with multi-bit shifting by Savas, Erkay

    Published 2005
    “…Since the existing algorithms based on the extended Euclidean algorithm do not permit a fast software implementation, projective co-ordinates, which eliminate almost all of the inversion operations from the curve arithmetic, are preferred. …”
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  4. 64
    Multidimensional Gains for Stochastic Approximation

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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  5. 65
    Structural similarity evaluation between XML documents and DTDs

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…We consider the various DTD operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes. Our approach is based on the concept of tree edit distance, as an effective and efficient means for comparing tree structures, XML documents and DTDs being modeled as ordered labeled trees. …”
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  6. 66
    Defense against adversarial attacks: robust and efficient compressed optimized neural networks

    Defense against adversarial attacks: robust and efficient compressed optimized neural networks by Insaf Kraidia (19198012)

    Published 2024
    “…First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …”
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  7. 67
    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions by Abdulmalik Alwarafy (17984104)

    Published 2022
    “…Then, we provide a comprehensive review of the most widely used DRL algorithms to address RRAM problems, including the value- and policy-based algorithms. …”
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  8. 68
    Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow

    Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow by Wehbe, Rawan

    Published 2022
    “…We then apply the algorithm to Ekman flows in two and three dimensions and compare our results in two dimensions to the grid based, finite element solver COMSOL Multiphysics. …”
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  9. 69
    Portable Electromagnetic Surface Profiling System

    Portable Electromagnetic Surface Profiling System by Al Homssi, Bassel Mohamad

    Published 2016
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  10. 70
    Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array

    Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array by Amran Hossain (570706)

    Published 2022
    “…The antenna is comprised of metamaterial-loaded with three substrate layers, including two air gaps. One 1 × 4 MTM array element is used in the top layer and middle layer, and one 3 × 2 MTM array element is used in the bottom layer. …”
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  11. 71
    Oversampling techniques for imbalanced data in regression

    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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  12. 72
    Inception voltage of corona in bipolar ionized fields-effect oncorona power loss

    Inception voltage of corona in bipolar ionized fields-effect oncorona power loss by Al-Hamouz, Z.

    Published 1996
    “…In this paper, an iterative finite element based algorithm is presented as a numerical tool for the solution of the bipolar ionized field around high voltage direct current (HVDC) transmission lines. …”
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  13. 73
    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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  14. 74
    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

    Published 2001
    “…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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  15. 75
    Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle

    Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle by Wadi, Ali H M

    Published 2017
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  16. 76
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …”
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  17. 77
    Corona power loss computation in bundled bipolar conductors

    Corona power loss computation in bundled bipolar conductors by Al-Hamouz, Z.M.

    Published 2000
    “…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …”
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  18. 78
    A hybrid approach for XML similarity

    A hybrid approach for XML similarity by Tekli, Joe

    Published 2007
    “…In this paper, we integrate IR semantic similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. …”
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  19. 79
    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort

    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort by Sergio Márquez-Sánchez (19437985)

    Published 2023
    “…Moreover, the prevalent cloud-based nature of these systems introduces elevated cybersecurity risks and substantial data transmission overheads. …”
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  20. 80
    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem

    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem by Habchi, Wassim

    Published 2008
    “…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
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