Necmettin Sezgin

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 2

Top Topics

Rotation Invariant

Texture Descriptors

Local Binary Pattern

Top Venues

Turkish J. Electr. Eng. Comput. Sci.

Neural Comput. Appl.

Expert Syst. Appl.

Publications

Necmettin Sezgin
A new hand finger movements' classification system based on bicoherence analysis of two-channel surface EMG signals. Neural Comput. Appl. 31 (8) (2019)
Ömer Faruk Ertugrul, Necmettin Sezgin
A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure. Turkish J. Electr. Eng. Comput. Sci. 26 (5) (2018)
Yilmaz Kaya, Necmettin Sezgin, Ramazan Tekin
A new approach for diagnostic estimation of Obstructive Sleep Apnea Syndrome based on One Dimensional Local Binary Pattern. SIU (2014)
Ramazan Tekin, M. Emin Tagluk, Ömer Faruk Ertugrul, Necmettin Sezgin
Complexity and irregularity analysis of the output data of a cortical network. SIU (2013)
Necmettin Sezgin, M. Emin Tagluk, Ömer Faruk Ertugrul, Yilmaz Kaya
Bispectral analysis of epileptic EEG signals. SIU (2013)
Yilmaz Kaya, Lokman Kayci, Necmettin Sezgin
Classification of butterfly images with multi-scale local binary patterns. SIU (2013)
Mehmet Akin, Necmettin Sezgin
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. 39 (6) (2012)
Yilmaz Kaya, M. Emin Tagluk, Necmettin Sezgin
Diagnostic estimation of OSAS using binary mixture logistic regression. SIU (2012)
Necmettin Sezgin, M. Emin Tagluk, Ramazan Tekin
Separation of EEG signals by using Independent Component Analysis. SIU (2012)
M. Emin Tagluk, Necmettin Sezgin
A new approach for estimation of obstructive sleep apnea syndrome. Expert Syst. Appl. 38 (5) (2011)
M. Emin Tagluk, Mehmet Akin, Necmettin Sezgin
Classification of sleep apnea by using wavelet transform and artificial neural networks. Expert Syst. Appl. 37 (2) (2010)
M. Emin Tagluk, Necmettin Sezgin
Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks. J. Medical Syst. 34 (6) (2010)
M. Emin Tagluk, Necmettin Sezgin, Mehmet Akin
Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG. J. Medical Syst. 34 (4) (2010)
Muhammed B. Kurt, Necmettin Sezgin, Mehmet Akin, Gokhan Kirbas, Muhittin Bayram
The ANN-based computing of drowsy level. Expert Syst. Appl. 36 (2) (2009)
Necmettin Sezgin, M. Emin Tagluk
Energy based feature extraction for classification of sleep apnea syndrome. Comput. Biol. Medicine 39 (11) (2009)
Mehmet Akin, Muhammed B. Kurt, Necmettin Sezgin, Muhittin Bayram
Estimating vigilance level by using EEG and EMG signals. Neural Comput. Appl. 17 (3) (2008)