Omid Khayat
Orcid: 0000-0001-5443-4590
According to our database1,
Omid Khayat
authored at least 18 papers
between 2009 and 2019.
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Bibliography
2019
Performance evaluation of multilayer perceptron, radial basis function, fuzzy inference system, and an adaptively tuned fuzzy wavelet neural network in parameter prediction of multiphase flow measurement instrumentation.
Expert Syst. J. Knowl. Eng., 2019
2016
Image denoising using sparse representation classification and non-subsampled shearlet transform.
Signal Image Video Process., 2016
Performance Verification of a Fuzzy Wavelet Neural Network in the First Order Partial Derivative Approximation of Nonlinear Functions.
Neural Process. Lett., 2016
Combination of anisotropic diffusion and non-subsampled shearlet transform for image denoising.
J. Intell. Fuzzy Syst., 2016
Gradient-based back-propagation dynamical iterative learning scheme for the neuro-fuzzy inference system.
Expert Syst. J. Knowl. Eng., 2016
2015
A multi-class bi-level thresholding method for accurate anthropometric measurements of scanned plantar images.
Signal Image Video Process., 2015
Software development of an intelligent Spirography test system for neurological disorder detection and quantification.
J. Intell. Fuzzy Syst., 2015
2014
Using feed-forward neural network for complex static balance signal characterization with chaotic features.
J. Intell. Fuzzy Syst., 2014
Using feed forward neural network for electrocardiogram signal analysis in chaotic domain.
J. Intell. Fuzzy Syst., 2014
J. Intell. Fuzzy Syst., 2014
An evolutionary-based entropic image thresholding approach for nano-scale light microscopic image segmentation.
J. Intell. Fuzzy Syst., 2014
Structural parameter tuning of the first-order derivative of an adaptive neuro-fuzzy system for chaotic function modeling.
J. Intell. Fuzzy Syst., 2014
An intelligent electromyogram signal characterization method based on neuro-fuzzy model.
J. Intell. Fuzzy Syst., 2014
2013
A fast learnt fuzzy neural network for huge scale discrete data function approximation and prediction.
J. Intell. Fuzzy Syst., 2013
Differentiating adaptive Neuro-Fuzzy Inference System for accurate function derivative approximation.
Neurocomputing, 2013
2012
A Neuro-Fuzzy Based Model for Accurate Estimation of the Lyapunov Exponents of an Unknown Dynamical System.
Int. J. Bifurc. Chaos, 2012
2009
Neurocomputing, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Image Processing, 2009