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Fatih Vehbi Celebi
Fatih Vehbi Celebi
Ankara Yildirim Beyazit University
Verified email at ybu.edu.tr
Title
Cited by
Cited by
Year
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
3292014
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
982019
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
822018
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
722006
Software Development for Blood Disease Expert System
AM Karim, FV Çelebi, AS Mohammed
Lecture Notes on Software Engineering 4 (3), 179, 2016
442016
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
412015
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
372019
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
322017
Temperature independent length optimization of L-band EDFAs providing flat gain
M Yucel, HH Goktas, FV Celebi
Optik 122 (10), 872-876, 2011
322011
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
312020
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
312018
12-14 yaş grubu puberte dönemi spor yapan ve sedanter öğrencilerin posturel ve biyomotor özelliklerinin karşılaştırılması
F Çelebi
Sosyal Bilimler Enstitüsü, 2000
292000
Fuzzy traffic control with vehicle-to-everything communication
MA Salman, S Ozdemir, FV Celebi
Sensors 18 (2), 368, 2018
262018
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
252006
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
232005
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
232002
Fransa Millet Meclisi Üzerine
F Çelebi
Yasama Dergisi, 51-84, 2012
222012
A proposed CAD model based on amplified spontaneous emission spectroscopy
FV Celebi
Journal of Optoelectronics and Advanced Materials 7 (3), 1573-1579, 2005
222005
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
212022
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
212011
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Articles 1–20