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

"…None of these algorithms provides absolute optimum results for synthesis of these functions. …"
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Learning continuous functions using decision tree learning algorithms حسب Ibrahim, Ahmed Esmat Mahmoud

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

"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population حسب Amr M. Fahmi (21632909)

"…<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. …"

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

"…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. …"

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

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

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

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

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

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

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

"…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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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids حسب Khayata, Mohammad Tarek

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

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

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

"…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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Evaluation of transfer functions for punctured turbo codes حسب Mugaibel, A.H.

"…A modified algorithm for evaluating transfer functions of turbo codes with punctured systematic bits is presented. …"
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Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

"…This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. …"
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Cross entropy error function in neural networks حسب Nasr, G.E.

"…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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Evolution Of Activation Functions for Neural Architecture Search حسب Nader, Andrew

"…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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