A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms B Şen, M Peker, A Çavuşoğlu, FV Çelebi Journal of medical systems 38, 1-21, 2014 | 331 | 2014 |
A new framework using deep auto-encoder and energy spectral density for medical waveform data classification and processing AM Karim, MS Güzel, MR Tolun, H Kaya, FV Çelebi Biocybernetics and Biomedical Engineering 39 (1), 148-159, 2019 | 98 | 2019 |
A new generalized deep learning framework combining sparse autoencoder and Taguchi method for novel data classification and processing AM Karim, MS Güzel, MR Tolun, H Kaya, FV Çelebi Mathematical Problems in Engineering 2018, 2018 | 81 | 2018 |
Design of a high precision temperature measurement system based on artificial neural network for different thermocouple types K Danisman, I Dalkiran, FV Celebi Measurement 39 (8), 695-700, 2006 | 73 | 2006 |
Software Development for Blood Disease Expert System AM Karim, FV Çelebi, AS Mohammed Lecture Notes on Software Engineering 4 (3), 179, 2016 | 44 | 2016 |
A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+ RF) M Peker, A Arslan, B Şen, FV Çelebi, A But 2015 international symposium on innovations in intelligent SysTems and …, 2015 | 42 | 2015 |
Effects of low-level laser therapy and mechanical vibration on orthodontic pain caused by initial archwire F Celebi, T Turk, AA Bicakci American Journal of Orthodontics and Dentofacial Orthopedics 156 (1), 87-93, 2019 | 39 | 2019 |
A novel framework using deep auto-encoders based linear model for data classification AM Karim, H Kaya, MS Güzel, MR Tolun, FV Çelebi, A Mishra Sensors 20 (21), 6378, 2020 | 32 | 2020 |
Bidirectional Conditional Insertion Sort algorithm; An efficient progress on the classical insertion sort AS Mohammed, ŞE Amrahov, FV Çelebi Future Generation Computer Systems 71, 102-112, 2017 | 32 | 2017 |
Temperature independent length optimization of L-band EDFAs providing flat gain M Yucel, HH Goktas, FV Celebi Optik 122 (10), 872-876, 2011 | 32 | 2011 |
A new automatic epilepsy serious detection method by using deep learning based on discrete wavelet transform AM Karim, Ö Karal, FV Çelebi no 4, 15-18, 2018 | 31 | 2018 |
12-14 yaş grubu puberte dönemi spor yapan ve sedanter öğrencilerin posturel ve biyomotor özelliklerinin karşılaştırılması F Çelebi Sosyal Bilimler Enstitüsü, 2000 | 29 | 2000 |
Fuzzy traffic control with vehicle-to-everything communication MA Salman, S Ozdemir, FV Celebi Sensors 18 (2), 368, 2018 | 26 | 2018 |
Injection level dependence of the gain, refractive index variation, and alpha (α) parameter in broad-area InGaAs deep quantum-well lasers FV Celebi, I Dalkiran, K Danisman Optik 117 (11), 511-515, 2006 | 25 | 2006 |
Anomalies prediction in radon time series for earthquake likelihood using machine learning-based ensemble model AA Mir, FV Çelebi, H Alsolai, SA Qureshi, M Rafique, JS Alzahrani, ... IEEE Access 10, 37984-37999, 2022 | 23 | 2022 |
A different approach to gain computation in laser diodes with respect to different number of quantum-wells FV Celebi Optik 116 (8), 375-378, 2005 | 23 | 2005 |
Modelling of the linewidth enhancement factor with the use of radial basis function network S Sagiroglu, FV Celebi, K Danisman AEU-International Journal of Electronics and Communications 56 (1), 51-54, 2002 | 23 | 2002 |
Fransa Millet Meclisi Üzerine F Çelebi Yasama Dergisi, 51-84, 2012 | 22 | 2012 |
A proposed CAD model based on amplified spontaneous emission spectroscopy FV Celebi Journal of Optoelectronics and Advanced Materials 7 (3), 1573-1579, 2005 | 22 | 2005 |
An alternative work measurement method and its application to a manufacturing industry M Dağdeviren, E Eraslan, FV Çelebi Journal of Loss Prevention in the Process Industries 24 (5), 563-567, 2011 | 21 | 2011 |