Mehmet Akin

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals.
Appl. Intell.
Zülfikar Aslan, Mehmet Akin
2020 J jnl
Automatic Detection of Schizophrenia by Applying Deep Learning over Spectrogram Images of EEG Signals.
Traitement du Signal
Zülfikar Aslan, Mehmet Akin
2018 — conf
Spectrum estimation of odor EEG responses with parametric-nonparametric spectral analysis methods.
SIU
Mesut Seker, Mehmet Akin, Mehmet Siraç Özerdem
2017 J jnl
Retinal Vessel Segmentation via Structure Tensor Coloring and Anisotropy Enhancement.
Symmetry
Mehmet Ercan Nergiz, Mehmet Akin
2012 J jnl
Corrigendum to "Classification of sleep apnea by using wavelet transform and artificial neural networks" [Expert Systems with Applications 37 (2) (2010) 1600-1607].
Expert Syst. Appl.
Mehmet Akin, Necmettin Sezgin
2011 J jnl
An expert system for automated recognition of patients with obstructive sleep apnea using electrocardiogram recordings.
Expert Syst. Appl.
Abdulnasir Yildiz, Mehmet Akin, Mustafa Poyraz
2010 J jnl
Classification of sleep apnea by using wavelet transform and artificial neural networks.
Expert Syst. Appl.
M. Emin Tagluk, Mehmet Akin, Necmettin Sezgin
2010 J jnl
Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG.
J. Medical Syst.
M. Emin Tagluk, Necmettin Sezgin, Mehmet Akin
2009 J jnl
Application of adaptive neuro-fuzzy inference system for vigilance level estimation by using wavelet-entropy feature extraction.
Expert Syst. Appl.
Abdulnasir Yildiz, Mehmet Akin, Mustafa Poyraz, Gokhan Kirbas
2009 J jnl
The ANN-based computing of drowsy level.
Expert Syst. Appl.
Muhammed B. Kurt, Necmettin Sezgin, Mehmet Akin, Gokhan Kirbas, Muhittin Bayram
2008 J jnl
Estimating vigilance level by using EEG and EMG signals.
Neural Comput. Appl.
Mehmet Akin, Muhammed B. Kurt, Necmettin Sezgin, Muhittin Bayram
2005 J jnl
Automatic recognition of vigilance state by using a wavelet-based artificial neural network.
Neural Comput. Appl.
Abdulhamit Subasi, M. Kemal Kiymik, Mehmet Akin, Osman Erogul
2005 J jnl
Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application.
Comput. Biol. Medicine
M. Kemal Kiymik, Inan Güler, Alper Dizibüyük, Mehmet Akin
2001 J jnl
AR spectral analysis of EEG signals by using maximum likelihood estimation.
Comput. Biol. Medicine
Inan Güler, M. Kemal Kiymik, Mehmet Akin, Ahmet Alkan