Ömer Kaan Baykan
Ömer Kaan Baykan
Konya Technical University
ktun.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange
Y Kara, MA Boyacioglu, ÖK Baykan
Expert systems with Applications 38 (5), 5311-5319, 2011
6302011
Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit …
MA Boyacioglu, Y Kara, ÖK Baykan
Expert Systems with Applications 36 (2), 3355-3366, 2009
2892009
A new hybrid method based on particle swarm optimization, ant colony optimization and 3-opt algorithms for traveling salesman problem
M Mahi, ÖK Baykan, H Kodaz
Applied Soft Computing 30, 484-490, 2015
2412015
A parallel cooperative hybrid method based on ant colony optimization and 3-Opt algorithm for solving traveling salesman problem
Ş Gülcü, M Mahi, ÖK Baykan, H Kodaz
Soft Computing 22 (5), 1669-1685, 2018
652018
A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum
MS Kıran, M Gündüz, ÖK Baykan
Applied Mathematics and Computation 219 (4), 1515-1521, 2012
492012
Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization
I Babaoglu, OK Baykan, N Aygul, K Ozdemir, M Bayrak
Expert Systems with Applications 36 (2), 2562-2566, 2009
342009
Predicting 10-day mortality in patients with strokes using neural networks and multivariate statistical methods
G Çelik, ÖK Baykan, Y Kara, H Tireli
Journal of Stroke and Cerebrovascular Diseases 23 (6), 1506-1512, 2014
242014
A new approach based on particle swarm optimization algorithm for solving data allocation problem
M Mahi, OK Baykan, H Kodaz
Applied Soft Computing 62, 571-578, 2018
162018
A novel modified bat algorithm hybridizing by differential evolution algorithm
G Yildizdan, ÖK Baykan
Expert Systems with Applications 141, 112949, 2020
112020
Bone age determination in young children (newborn to 6 years old) using support vector machines
GÜRE GÜRAKSIN, H UĞUZ, ÖK BAYKAN
Turkish Journal of Electrical Engineering & Computer Sciences 24 (3), 1693-1708, 2016
92016
A new algorithm based on artificial bee colony algorithm for energy demand forecasting in Turkey
H Uguz, H Hakli, ÖK Baykan
2015 4th International Conference on Advanced Computer Science Applications …, 2015
92015
Detection of tumor with Otsu-PSO method on brain MR image
MÜ Özıç, Y Özbay, ÖK Baykan
2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014
92014
Force feedback control of lower extremity exoskeleton assisting of load carrying human
Y Şahin, FM Botsalı, M Kalyoncu, M Tinkir, Ü Önen, N Yılmaz, ÖK Baykan, ...
Applied Mechanics and Materials 598, 546-550, 2014
82014
A comparison of artificial intelligence methods on determining coronary artery disease
İ Babaoğlu, ÖK Baykan, N Aygül, K Özdemir, M Bayrak
International Conference on Advances in Information Technology, 18-26, 2010
82010
Estimation of unknown height with artificial neural network on digital terrain model
H Karabork, F Yildz
第 21 届国际摄影测量与遥感大会 (ISPRS 2008), 2732-2734, 2008
82008
Classifiers fusion in recognition of wheat varieties
S Raudys, ÖK Baykan, A Babalik, V Denisov, AA Bielskis
International Workshop on Multiple Classifier Systems, 62-71, 2007
72007
Determination of wheat kernel type by using image processing techniques and ANN
A Babalık, ÖK Baykan, FM Botsalı
The International Conference on Modelling and Simulating, August, 28-30, 2006
72006
Training of artificial neural network using Metaheuristic algorithm
SSA Alwaisi, OK Baykan
International Journal of Intelligent Systems and Applications in Engineering …, 2017
62017
A new feature selection method for text categorization based on information gain and particle swarm optimization
F Yi̇ği̇t, ÖK Baykan
2014 IEEE 3rd International Conference on Cloud Computing and Intelligence …, 2014
62014
Shear strength predicting of FRP-strengthened RC beams by using artificial neural networks
G Yavuz, MH Arslan, OK Baykan
Science and Engineering of Composite Materials 21 (2), 239-255, 2014
62014
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20