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Showing 1 - 20 results of 353 for search '(((( algorithms within function ) OR ( algorithm _ function ))) OR ( algorithm i function ))', query time: 0.13s Refine Results
  1. 1
    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
    “…None of these algorithms provides absolute optimum results for synthesis of these functions. …”
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  2. 2
    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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  3. 3
    A New Penalty Function Algorithm For Convex Quadratic Programming

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

    Published 2020
    “…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
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  4. 4
    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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  5. 5
    From Collatz Conjecture to chaos and hash function

    From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

    Published 2023
    “…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995)

    A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995) by Moujabber, Bassam N.

    Published 1995
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  10. 10
    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
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  11. 11
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
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  12. 12
    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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  13. 13
    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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  14. 14
    A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks

    A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks by Saad, Walid

    Published 2012
    “…While most existing literature focuses on downlink-only or uplink-only scheduling algorithms, the proposed algorithm aims at ensuring a utility function that jointly captures the quality of service in terms of delay and channel quality on both links. …”
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  15. 15
    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
    “…The second consists of a matrix of simpler processors which update survived paths and provide the decoded output. The systolic algorithm is modeled in AHPL to verify functional correctness. …”
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  16. 16
    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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  17. 17
    Evaluation of transfer functions for punctured turbo codes

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

    Published 2000
    “…A modified algorithm for evaluating transfer functions of turbo codes with punctured systematic bits is presented. …”
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  18. 18
    Iterative Least Squares Functional Networks Classifier

    Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

    Published 2007
    “…This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. …”
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  19. 19
    Cross entropy error function in neural networks

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

    Published 2002
    “…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …”
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  20. 20
    Evolution Of Activation Functions for Neural Architecture Search

    Evolution Of Activation Functions for Neural Architecture Search by Nader, Andrew

    Published 2020
    “…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …”
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