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  1. 1
    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise

    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise by Saab, Samer S.

    Published 2005
    “…This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …”
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  2. 2
    An improved kernelization algorithm for r-Set Packing

    An improved kernelization algorithm for r-Set Packing by Abu-Khzam, Faisal N.

    Published 2010
    “…Such parameterized reductions are known as kernelization algorithms, and a reduced instance is called a problem kernel. …”
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  3. 3
    A stochastic iterative learning control algorithm with application to an induction motor

    A stochastic iterative learning control algorithm with application to an induction motor by Saab, Samer S.

    Published 2004
    “…The convergence characteristics are shown to be similar to the ones of the optimal recursive algorithm. The proposed ILC algorithms are applied to two different models of an induction motor for angular speed tracking control. …”
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  4. 4
    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…This paper presents a parallel algorithm to solve the Clique Partitioning Problem, an NP-complete problem. …”
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  5. 5
    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†

    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† by Harmanani, Haidar

    Published 2010
    “…The algorithm was implemented using VHSIC hardware description language (VHDL) and downloaded on a field programmable gate array (FPGA) device. …”
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  6. 6
    Shuffled Linear Regression with Erroneous Observations

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

    Published 2019
    “…The proposed algorithm aims for per-iteration minimization of the mean square estimate error. …”
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  7. 7
    Learn while tracking. (c2013)

    Learn while tracking. (c2013) by Toukhtarian, Raffi

    Published 2013
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  8. 8
    A quadratic kernel for 3-set packing

    A quadratic kernel for 3-set packing by Abu-Khzam, Faisal N.

    Published 2017
    “…Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. …”
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  9. 9
    Using C++ to Calculate SO(10) Tensor Couplings

    Using C++ to Calculate SO(10) Tensor Couplings by Bhagwagar, Azadan

    Published 2021
    “…Therefore, there exists an opportunity to leverage the abilities of computer software in order to algorithmically perform these calculations on demand. …”
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  10. 10
    Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems

    Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems by Sadjadi, Hossein

    Published 2009
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  11. 11
    Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System

    Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System by Anupama Ganguly (22502969)

    Published 2025
    “…Results depict that the proposed algorithm outperforms in every aspect and also justify the robustness of SMC. …”
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