Showing 241 - 260 results of 348 for search '(((( algorithm both function ) OR ( algorithm goa function ))) OR ( algorithm a function ))*', query time: 0.12s Refine Results
  1. 241

    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
  2. 242

    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials by Ghouti, Lahouari

    Published 1997
    “…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …”
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    masterThesis
  3. 243
  4. 244

    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
  5. 245

    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
  6. 246

    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
  7. 247
  8. 248

    Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida (17947847)

    Published 2024
    “…Unlike MPC, IMPC offers a significantly reduced computational burden by omitting the iterative computations of the cost functions and states predictions. …”
  9. 249

    Optimizing clopidogrel dose response by Saab, Yolande B.

    Published 2016
    “…Purpose Response to clopidogrel varies widely with nonresponse rates ranging from 4% to 30%. A reduced function of the gene variant of the CYP2C19 has been associated with lower drug metabolite levels, and hence diminished platelet inhibition. …”
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    article
  10. 250

    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
  11. 251

    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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    conferenceObject
  12. 252

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

    Published 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. …”
  13. 253

    On the parameterized parallel complexity and the vertex cover problem by Abu-Khzam, Faisal N.

    Published 2016
    “…For a problem to be in FPPT, it should possess an efficient parallel algorithm not only from a theoretical standpoint but in practice as well. …”
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    conferenceObject
  14. 254

    Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity by Maryam Shahriari-kahkeshi (17269051)

    Published 2021
    “…The dead-zone nonlinearity is described by an uncertain nonlinear function of the control input which can represent a wide class of practical input nonlinearities. …”
  15. 255

    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

    Published 2023
    “…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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  16. 256

    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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    conferenceObject
  17. 257

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…<p>This work aims to provide an effective hybrid beam forming method with Dual-Deep-Network to overcome overhead for mm-wave massive MIMO systems. In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures from a hybrid beam forming model based on mmWave logics, as well as training logic for the network map functions. …”
  18. 258

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

    Published 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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    article
  19. 259

    Optimization metaheuristic for software testing by Mansour, Nashat

    Published 2013
    “…SA evolves a solution by minimizing a function that is based on the contradictory objectives of coverage of events, diversity of events covered, and definite continuity of events. …”
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    conferenceObject
  20. 260

    Simultaneous stabilisation of power systems using geneticalgorithms by Abdel-Magid, Y.L.

    Published 1997
    “…The problem of selecting the parameters of a power system stabiliser which simultaneously stabilises this set of plants is converted to a simple optimisation problem which is solved by a genetic algorithm and an eigenvalue-based objective function. …”
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    article