Showing 221 - 240 results of 350 for search '(((( algorithm a function ) OR ( algorithm 1 function ))) OR ( algorithms within function ))', query time: 0.13s Refine Results
  1. 221

    The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability by Abd-El-barr, Mostafa

    Published 2003
    “…Experimental results obtained from a set of randomly generated networks using the proposed algorithms are presented and compared to those obtained using the existing techniques [1], [2]. …”
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    article
  2. 222

    Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility by Islambouli, Rania

    Published 2019
    “…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …”
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  3. 223

    Fragment based protein structure prediction. (c2013) by Terzian, Meghrig Ohanes

    Published 2016
    “…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …”
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    masterThesis
  4. 224

    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network by Monzure-Khoda Kazi (17191207)

    Published 2024
    “…At the same time, the mean square error value serves as the loss function for the ANN model (i.e., the loss function values were 2.84 × 10<sup>−7</sup> and 6.40 × 10<sup>−7</sup>, respectively, for X1 and X2 loading conditions at 45° angle). …”
  5. 225

    Modeling of magnetization curves for computer-aided design by Abuelma’atti, M.T.

    Published 1993
    “…A simple algorithm is presented for obtaining the coefficients of the sine-series function for modelling the magnetization curves of magnetic materials. …”
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    article
  6. 226

    Fragment-based computational protein structure prediction by Mansour, Nashat

    Published 2014
    “…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …”
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  7. 227

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…The analytical development of the matrix gain is built on an iterative-dependent linear function interfered by additive zero-mean white noise, where the dimension of the function is M≥ 1 and the dimension of the unknown variable is N≥ 1. …”
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  8. 228

    GENETIC SCHEDULING OF TASK GRAPHS by Benten, M. S.

    Published 2020
    “…A genetic algorithm for scheduling computational task graphs is presented. …”
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    article
  9. 229

    Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy by El-Ferik, S

    Published 2020
    “…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …”
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    article
  10. 230

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

    Published 2015
    “…Determining a protein’s structure is a challenging goal in structural bioinformatics, offering important insight towards understanding the function of a protein. …”
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    masterThesis
  11. 231

    Robust tuning of power system stabilizers in multimachine powersystems by Abdel-Magid, Y.L.

    Published 2000
    “…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. …”
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    article
  12. 232

    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

    Published 2020
    “…An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. …”
  13. 233

    Timing influenced general-cell genetic floorplanner by Sait, Sadiq M.

    Published 2020
    “…In this paper we present a timing-influenced floorplanner for general cell IC design. …”
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    article
  14. 234

    Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement by Sait, Sadiq M.

    Published 2004
    “…In this work, a fast hybrid algorithm is designed to address this problem. …”
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    article
  15. 235

    Optimal shunt compensators at nonsinusoidal busbars by El-Amin, I.M.

    Published 1995
    “…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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    article
  16. 236

    Optimizing clopidogrel dose response by Saab, Yolande B.

    Published 2016
    “…A clinical-pharmacogenetic algorithm was developed based on whether clopidogrel shows 1) expected effect as per indication, 2) little or no effect, or 3) clinical features that patients experience and fit with clopidogrel adverse drug reactions. …”
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  17. 237

    OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS by El-Amin, I.M.

    Published 2020
    “…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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    article
  18. 238

    Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra (21749216)

    Published 2024
    “…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. …”
  19. 239

    Joint distributed synchronization and positioning in UWB ad hoc networks using TOA by Denis, B.

    Published 2006
    “…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …”
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  20. 240

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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