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301
Noise-Robust Parameter Estimation Of Linear Systems
Published 2020“…In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. …”
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302
Toward automatic motivator selection for autism behavior intervention therapy
Published 2022“…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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303
Enhancement of blocking performance in all-optical WDM networks. (c2012)
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masterThesis -
304
A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems
Published 1998“…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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305
Multidimensional Gains for Stochastic Approximation
Published 2019“…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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306
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307
Collision-Free Autonomous Navigation Solution for Mobile Wheeled
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doctoralThesis -
308
Radar Pulse Interleaving For Multi-Target Tracking
Published 2020“…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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309
Dynamic adaptation for video streaming over mobile devices. (c2013)
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masterThesis -
310
The bus sightseeing problem
Published 2023“…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. …”
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311
Guaranteed Cost Control Of A Markov Jump Linear Uncertain System UsingA Time-Multiplied Cost Function
Published 2020“…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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312
Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function
Published 2020“…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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313
Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function
Published 2020“…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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314
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Published 2023“…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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315
A family of minimum curvature variable-methods for unconstrained optimization. (c1998)
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masterThesis -
316
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317
A hybrid approach for XML similarity
Published 2007“…Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes essential in information retrieval (IR) research. …”
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conferenceObject -
318
Comparative Study on Arabic Text Classification: Challenges and Opportunities
Published 2022“…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.…”
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319
A new bi-objective model of the urban public transportation hub network design under uncertainty
Published 2019“…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. …”
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320
Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing
Published 2020“…Finally, we propose a low-complexity heuristic resource allocation algorithm based on this novel theoretical discovery. …”