Fault analysis of power transmission line by Wigner Ville distribution, gray-level co-occurrence matrix and pattern recognation. - Ömer Faruk Ertugrul; M. Emin Tagluk; Yilmaz Kaya (SIU, 2012)

Effect of external stimulus and ionic concentrations on Hodgkin-Huxley neural model. - Ramazan Tekin; M. Emin Tagluk; Ömer Faruk Ertugrul (SIU, 2012)

Fault detection at power transmission lines by extreme learning machine. - Ömer Faruk Ertugrul; M. Emin Tagluk; Yilmaz Kaya (SIU, 2013)

EMG signal classification by extreme learning machine. - Ömer Faruk Ertugrul; M. Emin Tagluk; Yilmaz Kaya; Ramazan Tekin (SIU, 2013)

Bispectral analysis of epileptic EEG signals. - Necmettin Sezgin; M. Emin Tagluk; Ömer Faruk Ertugrul; Yilmaz Kaya (SIU, 2013)

Complexity and irregularity analysis of the output data of a cortical network. - Ramazan Tekin; M. Emin Tagluk; Ömer Faruk Ertugrul; Necmettin Sezgin (SIU, 2013)

Learning with classical conditioning. - Ömer Faruk Ertugrul; Mehmet Emin Tagluk (SIU, 2014)

Adaptive texture energy measure method. - Ömer Faruk Ertugrul (CoRR, 2014)

Evaluation of texture features for automatic detecting butterfly species using extreme learning machine. - Yilmaz Kaya; Lokman Kayci; Ramazan Tekin; Ömer Faruk Ertugrul (J. Exp. Theor. Artif. Intell., 2014)

Wavelet transform based fingerprint recognition. - Abidin Çaliskan; Ömer Faruk Ertugrul (SIU, 2015)

Detecting fault type and fault location in power transmission lines by extreme learning machines. - M. Emin Tagluk; Mehmet Salih Mamis; Müslüm Arkan; Ömer Faruk Ertugrul (SIU, 2015)

Two novel local binary pattern descriptors for texture analysis. - Yilmaz Kaya; Ömer Faruk Ertugrul; Ramazan Tekin (Appl. Soft Comput., 2015)

A joint generalized exemplar method for classification of massive datasets. - Mehmet Emin Tagluk; Ömer Faruk Ertugrul (Appl. Soft Comput., 2015)

Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait. - Ömer Faruk Ertugrul; Yilmaz Kaya; Ramazan Tekin; Mehmet Nuri Almali (Expert Syst. Appl., 2016)

A novel approach for SEMG signal classification with adaptive local binary patterns. - Ömer Faruk Ertugrul; Yilmaz Kaya; Ramazan Tekin (Medical Biol. Eng. Comput., 2016)

A novel approach for spam email detection based on shifted binary patterns. - Yilmaz Kaya; Ömer Faruk Ertugrul (Secur. Commun. Networks, 2016)

A novel feature extraction approach in SMS spam filtering for mobile communication: one-dimensional ternary patterns. - Yilmaz Kaya; Ömer Faruk Ertugrul (Secur. Commun. Networks, 2016)

A novel version of k nearest neighbor: Dependent nearest neighbor. - Ömer Faruk Ertugrul; Mehmet Emin Tagluk (Appl. Soft Comput., 2017)

A novel approach for extracting ideal exemplars by clustering for massivetime-ordered datasets. - Ömer Faruk Ertugrul (Turkish J. Electr. Eng. Comput. Sci., 2017)

A fast feature selection approach based on extreme learning machine and coefficient of variation. - Ömer Faruk Ertugrul; Mehmet Emin Tagluk (Turkish J. Electr. Eng. Comput. Sci., 2017)

Developing correlations by extreme learning machine for calculating higher heating values of waste frying oils from their physical properties. - Ömer Faruk Ertugrul; Sehmus Altun (Neural Comput. Appl., 2017)

A novel machine learning method based on generalized behavioral learning theory. - Ömer Faruk Ertugrul; Mehmet Emin Tagluk (Neural Comput. Appl., 2017)

Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors. - Yilmaz Kaya; Ömer Faruk Ertugrul (Signal Image Video Process., 2017)

Determining the optimal number of body-worn sensors for human activity recognition. - Ömer Faruk Ertugrul; Yilmaz Kaya (Soft Comput., 2017)

Recognition of Daily and Sports Activities. - Nihat Inanç; Murat Kayri; Ömer Faruk Ertugrul (IEEE BigData, 2018)

A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure. - Ömer Faruk Ertugrul; Necmettin Sezgin (Turkish J. Electr. Eng. Comput. Sci., 2018)

A novel type of activation function in artificial neural networks: Trained activation function. - Ömer Faruk Ertugrul (Neural Networks, 2018)

Two Novel Versions of Randomized Feed Forward Artificial Neural Networks: Stochastic and Pruned Stochastic. - Ömer Faruk Ertugrul (Neural Process. Lett., 2018)

Forecasting financial indicators by generalized behavioral learning method. - Ömer Faruk Ertugrul; Mehmet Emin Tagluk (Soft Comput., 2018)

Estimation of neurological status from non-electroencephalography bio-signals by motif patterns. - Yilmaz Kaya; Ömer Faruk Ertugrul (Appl. Soft Comput., 2019)

A novel randomized recurrent artificial neural network approach: recurrentrandom vector functional link network. - Ömer Faruk Ertugrul (Turkish J. Electr. Eng. Comput. Sci., 2019)

Extreme learning machine model for water network management. - Ahmed M. A. Sattar; Ömer Faruk Ertugrul; Bahram Gharabaghi; Edward A. McBean; Jiuwen Cao (Neural Comput. Appl., 2019)

A novel randomized machine learning approach: Reservoir computing extreme learning machine. - Ömer Faruk Ertugrul (Appl. Soft Comput., 2020)

New local binary pattern approaches based on color channels in texture classification. - Ramazan Tekin; Ömer Faruk Ertugrul; Yilmaz Kaya (Multim. Tools Appl., 2020)

A novel clustering method built on random weight artificial neural networks and differential evolution. - Ömer Faruk Ertugrul (Soft Comput., 2020)

Automatic diagnosis of cardiovascular disorders by sub images of the ECG signal using multi-feature extraction methods and randomized neural network. - Ömer Faruk Ertugrul; Emrullah Acar; Erdogan Aldemir; Abdulkerim Öztekin (Biomed. Signal Process. Control., 2021)

Employing deep learning architectures for image-based automatic cataract diagnosis. - Emrullah Acar; Ömer Türk; Ömer Faruk Ertugrul; Erdogan Aldemir (Turkish J. Electr. Eng. Comput. Sci., 2021)

Detecting hemorrhage types and bounding box of hemorrhage by deep learning. - Ömer Faruk Ertugrul; Muhammed Fatih Akil (Biomed. Signal Process. Control., 2022)

Human identification based on accelerometer sensors obtained by mobile phone data. - Abdulhalik Oguz; Ömer Faruk Ertugrul (Biomed. Signal Process. Control., 2022)

Determining the most relevant frequency bands in motion identification by accelerometer sensors. - Abdulkerim Öztekin; Ömer Faruk Ertugrul; Erdogan Aldemir; Emrullah Acar (Multim. Tools Appl., 2022)

Determining the fullness of garbage containers by deep learning. - Abdulhalik Oguz; Ömer Faruk Ertugrul (Expert Syst. Appl., 2023)

Emotion recognition by skeleton-based spatial and temporal analysis. - Abdulhalik Oguz; Ömer Faruk Ertugrul (Expert Syst. Appl., 2024)

Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture. - Ömer Türk; Erdogan Aldemir; Emrullah Acar; Ömer Faruk Ertugrul (Soft Comput., 2024)

Developing a real-time hand exoskeleton system that controlled by a hand gesture recognition system via wireless sensors. - Yunus Hazar; Ömer Faruk Ertugrul (Biomed. Signal Process. Control., 2025)

Process management in diabetes treatment by blending technique. - Yunus Hazar; Ömer Faruk Ertugrul (Comput. Biol. Medicine, 2025)

Enhancing vehicle fault diagnosis through multi-view sound analysis: integrating scalograms and spectrograms in a deep learning framework. - Ferit Akbalik; Abdulnasir Yildiz; Ömer Faruk Ertugrul; Hasan Zan (Signal Image Video Process., 2025)