Estimation of sleep stages by an artificial neural network employing EEG, EMG and EOG ME Tagluk, N Sezgin, M Akin Journal of medical systems 34, 717-725, 2010 | 173 | 2010 |
Classıfıcation of sleep apnea by using wavelet transform and artificial neural networks ME Tagluk, M Akin, N Sezgin Expert Systems with Applications 37 (2), 1600-1607, 2010 | 133 | 2010 |
A novel version of k nearest neighbor: Dependent nearest neighbor ÖF Ertuğrul, ME Tağluk Applied Soft Computing 55, 480-490, 2017 | 113 | 2017 |
Transmission line fault location using traveling wave frequencies and extreme learning machine D Akmaz, MS Mamiş, M Arkan, ME Tağluk Electric power systems research 155, 1-7, 2018 | 103 | 2018 |
Combating endometriosis by blocking proteasome and nuclear factor-κB pathways O Celik, S Hascalik, K Elter, ME Tagluk, B Gurates, NE Aydin Human reproduction 23 (11), 2458-2465, 2008 | 79 | 2008 |
A new approach for estimation of obstructive sleep apnea syndrome ME Tagluk, N Sezgin Expert Systems with Applications 38 (5), 5346-5351, 2011 | 64 | 2011 |
Energy based feature extraction for classification of sleep apnea syndrome N Sezgin, ME Tagluk Computers in biology and medicine 39 (11), 1043-1050, 2009 | 47 | 2009 |
Bearing and misalignment fault detection in induction motors by using the space vector angular fluctuation signal M Arkan, H Çaliş, ME Tağluk Electrical Engineering 87, 197-206, 2005 | 46 | 2005 |
Classification of sleep apnea through sub-band energy of abdominal effort signal using wavelets+ neural networks ME Tagluk, N Sezgin Journal of medical systems 34, 1111-1119, 2010 | 32 | 2010 |
A fast feature selection approach based on extreme learning machine and coefficient of variation ÖF Ertuğrul, ME Tağluk Turkish Journal of Electrical Engineering and Computer Sciences 25 (4), 3409 …, 2017 | 31 | 2017 |
A novel machine learning method based on generalized behavioral learning theory ÖF Ertuğrul, ME Tağluk Neural Computing and applications 28, 3921-3939, 2017 | 30 | 2017 |
Beneficial effects of dexpanthenol on mesenteric ischemia and reperfusion injury in experimental rat model YF Cagin, Y Atayan, N Sahin, H Parlakpinar, A Polat, N Vardi, ME Tagluk, ... Free radical research 50 (3), 354-365, 2016 | 30 | 2016 |
Effects of electromagnetic radiation from 3G mobile phone on heart rate, blood pressure and ECG parameters in rats C Colak, H Parlakpinar, N Ermis, ME Tagluk, C Colak, E Sarihan, ... Toxicology and industrial health 28 (7), 629-638, 2012 | 30 | 2012 |
EMG signal classification by extreme learning machine ÖF Ertuğrul, ME Tağluk, Y Kaya, R Teki̇n 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 29 | 2013 |
Communication in nano devices: Electronic based biophysical model of a neuron ME Tagluk, I Isik Nano Communication Networks 19, 134-147, 2019 | 23 | 2019 |
The influence of ion concentrations on the dynamic behavior of the Hodgkin–Huxley model-based cortical network ME Tagluk, R Tekin Cognitive neurodynamics 8, 287-298, 2014 | 21 | 2014 |
Spectrotemporal changes in electrical activity of myometrium due to recombinant follicle-stimulating hormone preparations follitropin alfa and beta O Celik, ME Tagluk, S Hascalik, K Elter, N Celik, NE Aydin Fertility and sterility 90 (4), 1348-1356, 2008 | 16 | 2008 |
Design and development of travelling‐wave‐frequency‐based transmission line fault locator using TMS320 DSP M Arkan, D Akmaz, MS Mamiş, ME Tağluk IET Science, Measurement & Technology 13 (4), 518-522, 2019 | 15 | 2019 |
Virtual hysterosalpingography and hysteroscopy: assessment of uterine cavity and fallopian tubes using 64-detector computed tomography data sets O Celik, HM Karakas, S Hascalik, ME Tagluk Fertility and sterility 93 (7), 2383-2384, 2010 | 14 | 2010 |
Forecasting financial indicators by generalized behavioral learning method ÖF Ertuğrul, ME Tağluk Soft Computing 22 (24), 8259-8272, 2018 | 13 | 2018 |