Hamed Azami

Orcid: 0000-0001-7612-0840

According to our database1, Hamed Azami authored at least 41 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
NLDyn - An open source MATLAB toolbox for the univariate and multivariate nonlinear dynamical analysis of physiological data.
Comput. Methods Programs Biomed., January, 2024

2023
Bidimensional ensemble entropy: Concepts and application to emphysema lung computerized tomography scans.
Comput. Methods Programs Biomed., December, 2023

Refined Composite Multiscale Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis.
Entropy, November, 2023

Multiscale Fluctuation Dispersion Entropy of EEG as a Physiological Biomarker of Schizotypy.
IEEE Access, 2023

2022
Fuzzy Dispersion Entropy: A Nonlinear Measure for Signal Analysis.
IEEE Trans. Fuzzy Syst., 2022

Ensemble entropy: A low bias approach for data analysis.
Knowl. Based Syst., 2022

Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches.
IEEE Access, 2022

2021
Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS.
Entropy, 2021

2020
Bidimensional Multiscale Fuzzy Entropy and Its Application to Pseudoxanthoma Elasticum.
IEEE Trans. Biomed. Eng., 2020

2019
Two-dimensional dispersion entropy: An information-theoretic method for irregularity analysis of images.
Signal Process. Image Commun., 2019

Multivariate Multiscale Dispersion Entropy of Biomedical Times Series.
Entropy, 2019

Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison.
IEEE Access, 2019

Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases.
IEEE Access, 2019

2018
Amplitude- and Fluctuation-Based Dispersion Entropy.
Entropy, 2018

Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy.
Entropy, 2018

Advanced Methods to Analyse the Complexity of the Brain.
Complex., 2018

2017
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals.
IEEE Trans. Biomed. Eng., 2017

Bidimensional Distribution Entropy to Analyze the Irregularity of Small-Sized Textures.
IEEE Signal Process. Lett., 2017

Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis.
Medical Biol. Eng. Comput., 2017

Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease.
Entropy, 2017

Amplitude- and Frequency-based Dispersion Patterns and Entropy.
CoRR, 2017

Multiscale dispersion entropy for the regional analysis of resting-state magnetoencephalogram complexity in Alzheimer's disease.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Dispersion Entropy: A Measure for Time-Series Analysis.
IEEE Signal Process. Lett., 2016

Refined Composite Multiscale Dispersion Entropy: A Fast Measure of Complexity.
CoRR, 2016

Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation.
Comput. Methods Programs Biomed., 2016

Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings.
Biomed. Signal Process. Control., 2016

Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Cluster-span threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Comparison of network analysis approaches on EEG connectivity in beta during Visual Short-term Memory binding tasks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Evaluation of resting-state magnetoencephalogram complexity in Alzheimer's disease with multivariate multiscale permutation and sample entropies.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Combination of signal segmentation approaches using fuzzy decision making.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Spike detection approaches for noisy neuronal data: Assessment and comparison.
Neurocomputing, 2014

New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm.
Appl. Soft Comput., 2014

2013
Classification of GPS Satellites Using Improved Back Propagation Training Algorithms.
Wirel. Pers. Commun., 2013

A hybrid evolutionary approach to segmentation of non-stationary signals.
Digit. Signal Process., 2013

Segmentation of medical images based on hierarchical evolutionary and bee algorithms.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012
Optimization of Orthogonal Poly Phase Coding Waveform Based on Bees Algorithm and Artificial Bee Colony for MIMO Radar.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

A New Adaptive Signal Segmentation Approach Based on Hiaguchi's Fractal Dimension.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012


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