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Showing 181 - 200 results of 222 for search '(((( algorithm goa function ) OR ( algorithm i function ))) OR ( algorithm survey function ))', query time: 0.11s Refine Results
  1. 181
    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements

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

    Published 2020
    “…The convergence analysis of the proposed recursive identification algorithm utilizes stochastic Lyapunov functions. Sufficient conditions for the almost sure convergence of the estimated parameters to the true ones are obtained.…”
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  2. 182
    Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning

    Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning by Moussa, Mostafa Mohamed

    Published 2020
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  3. 183
    Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms

    Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms by Ezzine, J.

    Published 1995
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  4. 184
    Parallel tabu search in a heterogeneous environment

    Parallel tabu search in a heterogeneous environment by Al-Yamani, A.

    Published 2003
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  5. 185
    Iterative heuristics for multiobjective VLSI standard cellplacement

    Iterative heuristics for multiobjective VLSI standard cellplacement by Sait, Sadiq M.

    Published 2001
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  6. 186
    Particle swarm optimization for multimachine power systemstabilizer design

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

    Published 2001
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  7. 187
    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING by Sait, Sadiq M.

    Published 2020
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  8. 188
    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments

    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments by Barada, Hassan

    Published 2020
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  9. 189
    General iterative heuristics for VLSI multiobjective partitioning

    General iterative heuristics for VLSI multiobjective partitioning by Sait, Sadiq M.

    Published 2003
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  10. 190
    Design and development of an embedded controller for roboticmanipulator

    Design and development of an embedded controller for roboticmanipulator by Bakhashwain, J.M.

    Published 1998
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  11. 191
    Optimal design of power-system stabilizers using particle swarm optimization

    Optimal design of power-system stabilizers using particle swarm optimization by Abido, M.A.

    Published 2002
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  12. 192
    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT

    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT by Sait, Sadiq M.

    Published 2006
    “…New fuzzy aggregation functions are proposed. SE is hybridized with force directed algorithm to speed-up the search. …”
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  13. 193
    Design of adaptive arrays based on element position perturbations

    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
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  14. 194
    Design of a TE-pass reflection mode optical polarizer

    Design of a TE-pass reflection mode optical polarizer by Khan, M.A.

    Published 2003
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  15. 195
    Structural alignment. (c2006)

    Structural alignment. (c2006) by Kazma, Layal

    Published 2006
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  16. 196
    A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates

    A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates by Andrianarison, O.

    Published 2024
    “…By performing a Legendre Transform, the classical Lagrangian functional is recast into a Hamiltonian one, so that the resulting variational formulation can be expressed in terms of the displacements and electric potential and their transverse stresses and electric displacement dual variables. …”
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  17. 197
    New aspect-oriented constructs for security hardening concerns

    New aspect-oriented constructs for security hardening concerns by Mourad, Azzam

    Published 2009
    “…We find these pointcuts and primitives to be necessary because they are needed to perform many security hardening practices and, to the best of our knowledge, none of the existing ones can provide their functionalities. Moreover, we show the viability and correctness of the proposed pointcuts and primitives by elaborating and implementing their algorithms and presenting the result of explanatory case studies.…”
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  18. 198
    Nouveaux points de coupure et primitives pour les préoccupations de renforcement de sécurité

    Nouveaux points de coupure et primitives pour les préoccupations de renforcement de sécurité by Mourad, Azzam

    Published 2009
    “…We find these pointcuts and primitives to be necessary because they are needed to perform many security hardening practices and, to the best of our knowledge, none of the existing ones can provide their functionalities. Moreover, we show the viability and correctness of our proposed pointcuts and primitives by elaborating and implementing their algorithms and presenting the results of explanatory case studies.…”
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  19. 199
    A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs

    A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs by Alabd-Aljabar, Ahmed

    Published 2024
    “…To showcase the performance of such algorithms, we propose two approaches for the task of teeth diagnosis utilizing Orthopantomograms (panoramic radiographs): 1) a direct classification approach; and 2) a hybrid approach that combines a deep learning model with a traditional classifier. …”
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  20. 200
    Software defect prediction. (c2019)

    Software defect prediction. (c2019) by Moussa, Rebecca

    Published 2019
    “…It is divided into two main tracks. One that focuses on predicting defect in software modules using a hybrid heuristic - a combination of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). …”
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