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Ömer Kaan BAYKAN
Ömer Kaan BAYKAN
Konya Technical University
在 ktun.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
9662011
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
3632015
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
3602009
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, 1669-1685, 2018
1472018
A novel modified bat algorithm hybridizing by differential evolution algorithm
G Yildizdan, ÖK Baykan
Expert Systems with Applications 141, 112949, 2020
742020
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
662012
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
412009
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
372014
Prediction of middle school students' programming talent using artificial neural networks
A Çetinkaya, ÖK Baykan
Engineering Science and Technology, an International Journal 23 (6), 1301-1307, 2020
292020
A new deep convolutional neural network model for classifying breast cancer histopathological images and the hyperparameter optimisation of the proposed model
KC Burçak, ÖK Baykan, H Uğuz
The Journal of Supercomputing 77, 973-989, 2021
282021
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
212018
Boundary constrained voxel segmentation for 3D point clouds using local geometric differences
A Saglam, HB Makineci, NA Baykan, ÖK Baykan
Expert Systems with Applications 157, 113439, 2020
202020
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
162014
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
152014
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 and Computer Sciences 24 (3), 1693 …, 2016
142016
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
132015
Training of artificial neural network using Metaheuristic algorithm
S Alwaisi, OK Baykan
International Journal of Intelligent Systems and Applications in Engineering …, 2017
122017
Estimation of unknown height with artificial neural network on digital terrain model
H Karabork, OK Baykan, C Altuntas, F Yildz
Proceedings on isprs International Society for Photogrammetry and Remote Sensing, 2008
122008
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
112014
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
92014
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