Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

"…The method we use is based on the boundary integral equation method developed and implemented in [1]. …"

Particle swarm optimization for multimachine power systemstabilizer design حسب Abido, A.A.

"…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …"
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A fuzzy basis function network for generator excitation control حسب Abido, M.A.

"…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
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The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review حسب Uzair Shah (15740699)

"…The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. …"

Noise-Robust Parameter Estimation Of Linear Systems حسب Emara-Shabaik, Husam

"…In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. …"
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Toward automatic motivator selection for autism behavior intervention therapy حسب Siyam, Nur

"…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …"
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Enhancement of blocking performance in all-optical WDM networks. (c2012) حسب Joun, Carla J.

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A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems حسب Abido, M.A.

"…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
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Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

"…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
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Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

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Collision-Free Autonomous Navigation Solution for Mobile Wheeled حسب Elsergany, Ahmed Moataz Mahmoud

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Radar Pulse Interleaving For Multi-Target Tracking حسب Elshafei, M.

"…In this paper, we present new tight 0-1 integer programming models for the radar pulse interleaving problem and develop effective solution methods based on Lagrangian relaxation techniques.…"
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Dynamic adaptation for video streaming over mobile devices. (c2013) حسب Jalloul, Rayan A.

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The bus sightseeing problem حسب Qian Hu (205735)

"…A mixed-integer programming formulation for the BSP is provided and solved by a Benders decomposition algorithm. For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …"

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

"…The performance is calculated first and an LMI-based algorithm is developed to design a state feedback control law with constant gain matrices which robustly stabilizes the system in the mean-square quadratically stable sense.…"
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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

"…The performance is calculated first and an LMI-based algorithm is developed to design a state feedback control law with constant gain matrices which robustly stabilizes the system in the mean-square quadratically stable sense.…"
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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

"…The performance is calculated first and an LMI-based algorithm is developed to design a state feedback control law with constant gain matrices which robustly stabilizes the system in the mean-square quadratically stable sense.…"
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth, Kunhoth

"…This work proposes various machine learning methods, including transfer learning via fine-tuning, transfer learning via feature extraction, ensembles of deep convolutional neural network (CNN) models, and fusion of CNN features, to develop a preliminary dysgraphia diagnosis system based on handwritten images. …"
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A family of minimum curvature variable-methods for unconstrained optimization. (c1998) حسب Obeid, Samir Y.

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Tourism in Lebanon. (c1998) حسب Nahle, Diana A.

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