M. Emin Tagluk

Neurocomputing, 2022

2019

Communication in nano devices: Electronic based biophysical model of a neuron.

[BibT_eX]

[DOI]

Ibrahim Isik

Nano Commun. Networks, 2019

2018

Forecasting financial indicators by generalized behavioral learning method.

[BibT_eX]

[DOI]

Soft Comput., 2018

2017

Effects of Small-World Rewiring Probability and Noisy Synaptic Conductivity on Slow Waves: Cortical Network.

[BibT_eX]

[DOI]

Neural Comput., 2017

A novel machine learning method based on generalized behavioral learning theory.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2017

A fast feature selection approach based on extreme learning machine and coefficient of variation.

[BibT_eX]

[DOI]

Turkish J. Electr. Eng. Comput. Sci., 2017

Fault location determination for transmission lines with different series-compensation levels using transient frequencies.

[BibT_eX]

[DOI]

Turkish J. Electr. Eng. Comput. Sci., 2017

A novel version of k nearest neighbor: Dependent nearest neighbor.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

2016

Influence of rewiring on spike activity and phase coherence in a Small-World cortical network.

[BibT_eX]

[DOI]

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015

A joint generalized exemplar method for classification of massive datasets.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

Detecting fault type and fault location in power transmission lines by extreme learning machines.

[BibT_eX]

[DOI]

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Fault location on series compensated power transmission lines using transient spectrum.

[BibT_eX]

[DOI]

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014

Learning with classical conditioning.

[BibT_eX]

[DOI]

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013

Complexity and irregularity analysis of the output data of a cortical network.

[BibT_eX]

[DOI]

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Bispectral analysis of epileptic EEG signals.

[BibT_eX]

[DOI]

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

EMG signal classification by extreme learning machine.

[BibT_eX]

[DOI]

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Fault detection at power transmission lines by extreme learning machine.

[BibT_eX]

[DOI]

Yilmaz Kaya

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012

Effect of external stimulus and ionic concentrations on Hodgkin-Huxley neural model.

[BibT_eX]

[DOI]

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Separation of EEG signals by using Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Diagnostic estimation of OSAS using binary mixture logistic regression.

[BibT_eX]

[DOI]

Yilmaz Kaya

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Fault analysis of power transmission line by Wigner Ville distribution, gray-level co-occurrence matrix and pattern recognation.

[BibT_eX]

[DOI]

Yilmaz Kaya

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2011

A new approach for estimation of obstructive sleep apnea syndrome.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2011

2010

Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG.

[BibT_eX]

[DOI]

Mehmet Akin

J. Medical Syst., 2010

Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks.

[BibT_eX]

[DOI]

J. Medical Syst., 2010

Classification of sleep apnea by using wavelet transform and artificial neural networks.

[BibT_eX]

[DOI]

Mehmet Akin

Expert Syst. Appl., 2010

2009

Energy based feature extraction for classification of sleep apnea syndrome.

[BibT_eX]

[DOI]