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. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل

Enhancement of blocking performance in all-optical WDM networks. (c2012) حسب Joun, Carla J.

احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

احصل على النص الكامل

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

احصل على النص الكامل

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.…"
احصل على النص الكامل

Dynamic adaptation for video streaming over mobile devices. (c2013) حسب Jalloul, Rayan A.

احصل على النص الكامل
احصل على النص الكامل

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.…"
احصل على النص الكامل

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.…"
احصل على النص الكامل

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.…"
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A family of minimum curvature variable-methods for unconstrained optimization. (c1998) حسب Obeid, Samir Y.

احصل على النص الكامل
احصل على النص الكامل

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

احصل على النص الكامل
احصل على النص الكامل

Comparative Study on Arabic Text Classification: Challenges and Opportunities حسب Abualigah, Laith

"…Based on the reviewed researches, SVM and Naive Bayes were the most widely used classifiers for Arabic text classification, while more effort is needed to develop and to implement flexible Arabic text classification methods and classifiers.…"
احصل على النص الكامل

A new bi-objective model of the urban public transportation hub network design under uncertainty حسب Firoozeh Kaveh (14150877)

"…For medium and large-sized problems, a meta-heuristic algorithm, namely multi-objective particle swarm optimization is applied and its performance is compared with results from the non-dominated sorting genetic algorithm. …"