يعرض 581 - 600 نتائج من 760 نتيجة بحث عن '(( element method algorithm ) OR ((( data processing algorithm ) OR ( based modeling algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 581

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

    منشور في 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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  2. 582
  3. 583
  4. 584

    A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems حسب Abido, M.A.

    منشور في 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
  5. 585

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

    منشور في 2020
    "…A model is proposed to identify the parameters of a class of stochastic nonlinearsystems. …"
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    article
  6. 586

    Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles حسب Wadi, Ali

    منشور في 2017
    "…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
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    article
  7. 587

    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea حسب Issa, Leila

    منشور في 2018
    "…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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    article
  8. 588

    A new minimum curvator multi-step method for unconstrained optimization حسب Obeid, Samir

    منشور في 1998
    "…In this paper, we carry on with a similar idea and define a rational model with a free parameter. Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …"
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    conferenceObject
  9. 589

    Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review حسب SHEHADEH, KHADIJA

    منشور في 2023
    "…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
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  10. 590

    Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

    منشور في 2020
    "…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …"
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    article
  11. 591

    Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

    منشور في 2019
    "…With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …"
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  12. 592

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

    منشور في 2025
    "…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. …"
  13. 593

    Cross entropy error function in neural networks حسب Nasr, G.E.

    منشور في 2002
    "…The second model is a trivariate model based on GC, price and car registration time series. …"
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    conferenceObject
  14. 594

    A novel technique for fast multiplication حسب Sait, Sadiq M.

    منشور في 2020
    "…In the case of 2 s complement multiplication the tree of carry-save-adders also receives a correction output produced in parallel with the partial products. The algorithm is modelled in a hardware description language and its VLSI chip implemented. …"
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    article
  15. 595

    A hybrid approach for XML similarity حسب Tekli, Joe

    منشور في 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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  16. 596

    Soft Sensor for NOx Emission using Dynamical Neural Network حسب Shakil, M.

    منشور في 2020
    "…Principal Component Analysis (PCA) is used to reduce number of input variables. Lag space for the model is found by using genetic algorithm to find the best time delayed model. …"
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    article
  17. 597

    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes حسب Wadi, Ali

    منشور في 2019
    "…Optimality is guaranteed by accurately identifying the underlying statistical noise characteristics in experimental data. The estimator also quantifies the bias in the release, exhibited by the experimental data. …"
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    article
  18. 598

    A Terrain classification system for coseismic landslide hazard analysis: Lebanon, a case study حسب Grant, Alex R.

    منشور في 2014
    "…In this work topographic slope, calculated using Ritter’s algorithm (1987) is used to demarcate landslide failure modes. …"
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    conferenceObject
  19. 599

    Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

    منشور في 2019
    "…The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.…"
  20. 600

    A system for sign language recognition using fuzzy object similarity tracking حسب Sarfraz, M.

    منشور في 2005
    "…In this paper, we have presented a system that performs vision based isolated Arabic sign language recognition using hidden Markov models together with EM algorithm for parameters estimation. …"
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    article