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يعرض 301 - 320 نتائج من 458 نتيجة بحث عن '(( elements method algorithm ) OR ((( data lacking algorithm ) OR ( data modelling algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 301

    Benchmarking Concept Drift Detectors for Online Machine Learning حسب Mahgoub, Mahmoud

    منشور في 2022
    "…Upon drift detection, the classifica tion algorithm may reset its model or concurrently grow a new learning model. …"
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  2. 302

    Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems حسب Rania A., Turky

    منشور في 2023
    "…It depends mainly on the actuating error signal, and it has a variable step size of the CMPN. The detailed modeling of the whole system is presented, including measured wind speed data, detailed switching techniques, a drive train model of the turbine, and real SMESD. …"
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    article
  3. 303

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

    منشور في 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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    article
  4. 304

    Approximate XML structure validation technical report حسب Tekli, Joe

    منشور في 2014
    "…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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    article
  5. 305
  6. 306

    High-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16329062)

    منشور في 2023
    "…We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …"
  7. 307

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

    منشور في 2023
    "…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
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    article
  8. 308

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

    منشور في 2020
    "…We compare the performance and accuracy to previous results in the cases when numerical data is available and also in the case of several model problems where exact results are available.…"
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    article
  9. 309

    STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

    منشور في 2025
    "…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
  10. 310
  11. 311

    A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

    منشور في 2023
    "…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …"
  12. 312

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

    منشور في 2023
    "…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
  13. 313

    Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants حسب Shafiq, M.

    منشور في 2006
    "…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …"
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    article
  14. 314

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) حسب Kouatli, Issam

    منشور في 2015
    "…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …"
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    conferenceObject
  15. 315

    Neural network-based failure rate prediction for De Havilland Dash-8 tires حسب Al-Garni, Ahmed Z.

    منشور في 2006
    "…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …"
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    article
  16. 316

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

    منشور في 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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    article
  17. 317

    Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

    منشور في 2021
    "…We compare the performance and accuracy to previous results in the cases when numerical data is available and also in the case of several model problems where exact results are available.…"
  18. 318
  19. 319

    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks حسب Sharma, Neetan

    منشور في 2023
    "…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …"
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  20. 320