يعرض 261 - 280 نتائج من 351 نتيجة بحث عن '(( algorithm a function ) OR ( ((algorithm used) OR (algorithm based)) function ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 261

    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems حسب Hisham A. Kholidy (18891802)

    منشور في 2019
    "…However, NNGE algorithm tends to produce rules that test a large number of input features. …"
  2. 262

    Single-Cell Transcriptome Analysis Highlights a Role for Neutrophils and Inflammatory Macrophages in the Pathogenesis of Severe COVID-19 حسب Hibah Shaath (5599658)

    منشور في 2020
    "…Herein, we employed iterative clustering and guide-gene selection 2 (ICGS2) as well as uniform manifold approximation and projection (UMAP) dimensionality reduction computational algorithms to decipher the complex immune and cellular composition of BAL, using publicly available datasets from a total of 68,873 single cells derived from two healthy subjects, three patients with mild COVID-19, and five patients with severe COVID-19. …"
  3. 263

    Copy number variations in the genome of the Qatari population حسب Khalid A. Fakhro (3158862)

    منشور في 2015
    "…We present the first high-resolution copy number variation (CNV) map for a Gulf Arab population, using a hybrid approach that integrates array genotyping intensity data and next-generation sequencing reads to call CNVs in the Qatari population. …"
  4. 264

    Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics حسب Abbas Khan (5141000)

    منشور في 2024
    "…Hence, the current study focuses on the screening of clinically reported substitutions in the <i>RAF1</i> and <i>RAP1A</i> genes using predictive algorithms integrated with all‐atoms simulation, essential dynamics, and binding free energy methods. …"
  5. 265

    Power system output feedback stabilizer design via geneticalgorithms حسب Abdel-Magid, Y.L.

    منشور في 1997
    "…In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …"
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  6. 266

    Optimizing clopidogrel dose response حسب Saab, Yolande B.

    منشور في 2016
    "…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …"
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    article
  7. 267

    Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

    منشور في 2019
    "…This paper deals with iterative Jacobian-based recursion technique for the root-finding problem of the vector-valued function, whose evaluations are contaminated by noise. …"
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    article
  8. 268

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

    منشور في 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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  9. 269

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

    منشور في 2020
    "…The floorplanner works in two phases. In the first phase we use the genetic algorithm and restrict the modules to be rigid and the floorplan to have slicing structure. …"
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    article
  10. 270

    Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

    منشور في 2020
    "…Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"
  11. 271
  12. 272

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

    منشور في 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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  13. 273
  14. 274

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices حسب Samir, Moataz

    منشور في 2019
    "…We demonstrate the favourable characteristics of the proposed algorithms via extensive simulation results and analysis as a function of various system parameters, with benchmarking against two greedy algorithms based on distance and deadline metrics.…"
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  15. 275

    Optimization metaheuristic for software testing حسب Mansour, Nashat

    منشور في 2013
    "…In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions. We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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  16. 276

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

    منشور في 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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  17. 277

    Scatter search for homology modeling حسب Mansour, Nashat

    منشور في 2016
    "…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …"
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  18. 278

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

    منشور في 2020
    "…The problem of assigning tasks to processing elements as a combinatorital optimization is formulated, and a heuristic based on a genetic algorithm is presented. …"
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  19. 279
  20. 280

    Heuristics for graph decomposition حسب Mansour, N.

    منشور في 2000
    "…The heuristic procedure that we propose is based on a hybrid genetic algorithm (HGA) for decomposing a graph followed by an iterative improvement heuristic for tuning the HGA's results. …"
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