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  1. 1
    Ensemble Deep Random Vector Functional Link Neural Network for Regression

    Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

    Published 2022
    “…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …”
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  2. 2
    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

    Published 2006
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  3. 3
    Random vector functional link network: Recent developments, applications, and future directions

    Random vector functional link network: Recent developments, applications, and future directions by A.K. Malik (16003193)

    Published 2023
    “…To overcome these issues, randomization based neural networks such as random vector functional link (RVFL) network have been proposed. RVFL model has several characteristics such as fast training speed, direct links, simple architecture, and universal approximation capability, that make it a viable randomized neural network. …”
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  4. 4
    Online dynamic ensemble deep random vector functional link neural network for forecasting

    Online dynamic ensemble deep random vector functional link neural network for forecasting by Ruobin Gao (16003195)

    Published 2023
    “…<p>This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple randomized layers to enhance the single-layer RVFL’s representation ability. …”
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  5. 5
    Learning continuous functions using decision tree learning algorithms

    Learning continuous functions using decision tree learning algorithms by Ibrahim, Ahmed Esmat Mahmoud

    Published 2001
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  6. 6
    A New Penalty Function Algorithm For Convex Quadratic Programming

    A New Penalty Function Algorithm For Convex Quadratic Programming by Bendaya, M.

    Published 2020
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  7. 7
    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link

    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

    Published 2023
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  8. 8
    Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter

    Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter by Al-Omari, Muhannad A. R. I.

    Published 2013
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  9. 9
    A systolic algorithm for VLSI design of a 1/N rate Viterbi decoder

    A systolic algorithm for VLSI design of a 1/N rate Viterbi decoder by Sait, Sadiq M.

    Published 1989
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  10. 10
    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Mujahid, S.N.

    Published 2020
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  11. 11
    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Duffuaa, S. O.

    Published 2020
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  12. 12
    Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population

    Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population by Amr M. Fahmi (21632909)

    Published 2024
    “…<h3>Purpose</h3><p dir="ltr">To identify the impact of <i>CYP2C9*2, *3, VKORC1−1639 G>A </i>and <i>CYP4F2*3</i> on warfarin dose in an Arab population. …”
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  13. 13
    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach

    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach by Nargess Sadeghzadeh-Nokhodberiz (16904952)

    Published 2023
    “…Therefore, the asymptotic convergence of the designed distributed algorithm to the centralized one is guaranteed. Moreover, due to the under-actuated feature of a quadcopter system, a general hierarchical scheme is considered for designing the controller. …”
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  14. 14
    Salp swarm algorithm: survey, analysis, and new applications

    Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

    Published 2024
    “…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …”
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  15. 15
    Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids

    Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids by Khayata, Mohammad Tarek

    Published 2017
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  16. 16
    Computational evluation of protein energy functions

    Computational evluation of protein energy functions by Mansour, Nashat

    Published 2014
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  17. 17
    Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm

    Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm by El-Kassar, A. N.

    Published 2005
    “…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Pollard's rho algorithm that works in the domain of natural integers. …”
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  18. 18
    Evaluation of transfer functions for punctured turbo codes

    Evaluation of transfer functions for punctured turbo codes by Mugaibel, A.H.

    Published 2000
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  19. 19
    Iterative Least Squares Functional Networks Classifier

    Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

    Published 2007
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  20. 20
    Cross entropy error function in neural networks

    Cross entropy error function in neural networks by Nasr, G.E.

    Published 2002
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