Showing 161 - 180 results of 242 for search '(((( elements based algorithm ) OR ( complex system algorithm ))) OR ( neural coding algorithm ))', query time: 0.11s Refine Results
  1. 161

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

    Published 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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  2. 162
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    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
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    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements by Emara-Shabaik, Husam

    Published 2020
    “…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …”
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  8. 168

    Assessment of static pile design methods and non-linear analysis of pile driving by Abou-Jaoude, Grace G.

    Published 2006
    “…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. …”
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    masterThesis
  9. 169

    A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

    Published 2025
    “…Link prediction aims to identify missing or future connections between entities of a complex system, when modeled as a network. This research problem has attracted significant attention due to its relevance in numerous fields. …”
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    masterThesis
  10. 170

    Communications in electronic textile systems by Nakad, Z.

    Published 2017
    “…A new algorithm based on token grid schemes is presented that takes advantage of the e-textile physical configuration.…”
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    conferenceObject
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    Efficient unified Montgomery inversion with multi-bit shifting by Savas, Erkay

    Published 2005
    “…Since the existing algorithms based on the extended Euclidean algorithm do not permit a fast software implementation, projective co-ordinates, which eliminate almost all of the inversion operations from the curve arithmetic, are preferred. …”
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  14. 174

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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  15. 175

    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter by Syed Rahman (569240)

    Published 2019
    “…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”
  16. 176

    DRL-Based IRS-Assisted Secure Visible Light Communications by Danya A. Saifaldeen (19498705)

    Published 2022
    “…Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. …”
  17. 177

    A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants by Khan, T.

    Published 2006
    “…The use of U-model alleviates the computational complexity of on-line nonlinear controller design that arises when using other modelling frame works such as NARMAX model. …”
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    article
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    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

    Published 2023
    “…The artificial neural network demonstrates a higher prediction accuracy and is used as the system model in the proposed control framework. A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
  20. 180

    Leveraging UAVs for Coverage in Cell-Free Vehicular Networks by Samir, Moataz

    Published 2020
    “…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …”
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