Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities حسب Moinuddin, M.

"…The results show that, unlike in the stationary case, the steady-state excess MSE is not a monotonically increasing function of the step size. …"
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Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems حسب Tabbara, Mazen R.

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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms حسب Zhongqiang Ma (13765801)

"…It should be noted that, except EBCM, the other 10 new algorithms are inferior to the 4 state-of-the-art algorithms in terms of convergence speed and global search ability on CEC 2017 functions. …"

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

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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

"…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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Entire hypergeometric approximants for the ground state energy perturbation series of the quartic, sextic and octic anharmonic oscillators حسب I.S. Elkamash (16810689)

"…To explain such interesting feature, we suggest a type of analytic continuation where the parametrized divergent hypergeometric series is represented as a finite sum over entire hypergeometric functions. The algorithm is applied to sum the weak-coupling series of the ground state energy of the quartic (divergent), sextic (Gevrey−2) and Octic (Gevrey−3) anharmonic oscillators. …"

A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods حسب Abu Zitar, Raed

"…In this paper, several enhancements were made to this algorithm. First, it’s position updating process was slightly tweaked and took advantage of the chameleons’ randomization as well as adopting several time-varying functions. …"
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Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise حسب Saab, Samer S.

"…The state function does not need to satisfy a Lipschitz condition. …"
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Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis حسب Md. Shafayet Hossain (16888833)

Rigorous Phase Equilibrium Calculation Methods for Strong Electrolyte Solutions: The Isothermal Flash حسب Ilias K. Nikolaidis (9217172)

"…In this way, an augmented function (Lagrange function) is formulated which serves as the basis for the equations that govern phase equilibrium. …"

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

"…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"

Guaranteed Cost Control Of A Markov Jump Linear Uncertain System UsingA Time-Multiplied Cost Function حسب Boukas, EK

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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

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Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

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An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive حسب Rahman, M. A.

"…In the optimization procedure a performance index is developed to reflect the minimum speed deviation, minimum settling time and zero steady-state error. A radial basis function network (RBFN) is utilized for online tuning of the PI controller parameters to ensure optimum drive performance under different disturbances. …"
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …"
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Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

"…<p dir="ltr">Speech denoising (SD) covers the algorithms that suppress the background noise from the contaminated speech and improve its clarity. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

Boosting the visibility of services in microservice architecture حسب Ahmet Vedat Tokmak (17773479)

"…Our research also analyzed the boosting algorithms, namely Gradient Boost, XGBoost, LightGBM, and CatBoost to improve the overall performance. …"