Showing 241 - 260 results of 393 for search '(((( developing based algorithm ) OR ( elements data algorithm ))) OR ( data cosine algorithm ))', query time: 0.10s Refine Results
  1. 241

    Computation of conformal invariants by Mohamed M.S., Nasser

    Published 2020
    “…The method we use is based on the boundary integral equation method developed and implemented in [1]. …”
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    article
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    Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems by J. Prasanth Ram (19499062)

    Published 2022
    “…This enables the use of a simple Perturb and Observe (P&O) algorithm to easily track GMPP. For reconfiguration, a simple 5 × 5 PV array is considered, and a new physical relocation procedure based on the position square method is proposed. …”
  5. 245

    Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle by Korkmaz, Jessica

    Published 2025
    “…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …”
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    masterThesis
  6. 246

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

    Published 2023
    “…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …”
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    Computation of conformal invariants by Mohamed M.S. Nasser (16931772)

    Published 2021
    “…The method we use is based on the boundary integral equation method developed and implemented in [1]. …”
  9. 249

    Particle swarm optimization for multimachine power systemstabilizer design by Abido, A.A.

    Published 2001
    “…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …”
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    article
  10. 250

    A fuzzy basis function network for generator excitation control by Abido, M.A.

    Published 1997
    “…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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    article
  11. 251

    The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review by Uzair Shah (15740699)

    Published 2022
    “…The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. …”
  12. 252

    A new estimator and approach for estimating the subpopulation parameters by Mohammad Salehi M. (21259490)

    Published 2021
    “…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …”
  13. 253

    Noise-Robust Parameter Estimation Of Linear Systems by Emara-Shabaik, Husam

    Published 2020
    “…In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. …”
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    article
  14. 254

    Toward automatic motivator selection for autism behavior intervention therapy by Siyam, Nur

    Published 2022
    “…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …”
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    A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems by Abido, M.A.

    Published 1998
    “…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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    article
  17. 257

    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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    article
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    Efficient XML Structural Similarity Detection using Sub-tree Commonalities by Tekli, Joe

    Published 2007
    “…Developing efficient techniques for comparing XML-based documents becomes essential in the database and information retrieval communities. …”
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