Bayram Akdemir
Bayram Akdemir
selcuk.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Computer aided diagnosis of ECG data on the least square support vector machine
K Polat, B Akdemir, S Güneş
Digital Signal Processing 18 (1), 25-32, 2008
822008
Comparison of edge detection algorithms for texture analysis on glass production
Ş Öztürk, B Akdemir
Procedia-Social and Behavioral Sciences 195, 2675-2682, 2015
482015
Long-term load forecasting based on adaptive neural fuzzy inference system using real energy data
B Akdemir, N Çetinkaya
Energy Procedia 14, 794-799, 2012
452012
Application of feature extraction and classification methods for histopathological image using GLCM, LBP, LBGLCM, GLRLM and SFTA
Ş Öztürk, B Akdemir
Procedia computer science 132, 40-46, 2018
242018
Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals
B Akdemir, S Kara, K Polat, A Güven, S Güneş
Artificial Intelligence in Medicine 43 (2), 141-149, 2008
232008
Fuzzy logic-based segmentation of manufacturing defects on reflective surfaces
Ş Öztürk, B Akdemir
Neural Computing and Applications 29 (8), 107-116, 2018
152018
Prediction of aortic diameter values in healthy turkish infants, children, and adolescents by using artificial neural network
B Akdemir, B Oran, S Gunes, S Karaaslan
Journal of medical systems 33 (5), 379, 2009
152009
A convolutional neural network model for semantic segmentation of mitotic events in microscopy images
Ş Öztürk, B Akdemir
Neural Computing and Applications 31 (8), 3719-3728, 2019
112019
HIC-net: A deep convolutional neural network model for classification of histopathological breast images
Ş Öztürk, B Akdemir
Computers & Electrical Engineering 76, 299-310, 2019
102019
Effects of histopathological image pre-processing on convolutional neural networks
Ş Öztürk, B Akdemir
Procedia computer science 132, 396-403, 2018
102018
Prediction of cardiac end-systolic and end-diastolic diameters in m-mode values using adaptive neural fuzzy inference system
B Akdemïr, S Güneş, B Oran, S Karaaslan
Expert Systems with Applications 37 (8), 5720-5727, 2010
92010
Microcontroller compatible sealed lead acid battery remaining energy prediction using adaptive neural fuzzy inference system
B Akdemir, S Günes, IT Comlekciler
2009 International Conference on Web Information Systems and Mining, 779-783, 2009
92009
Detection of PCB soldering defects using template based image processing method
Ş Öztürk, B Akdemir
International Journal of Intelligent Systems and Applications in Engineering …, 2017
82017
Artificial neural network training models in prediction of concrete compressive strength using euclidean normalization method, 3 rd Int
B Akdemir, S Güneş, A Genç
Conf. on Complex Systems and Applications-ICCSA 2009, 160-165, 2009
82009
Elliot waves predicting for stock marketing using Euclidean based normalization method merged with artificial neural network
B Akdemir, L Yu
2009 Fourth International Conference on Computer Sciences and Convergence …, 2009
72009
Tahmin uygulamalarında performans geliştirmek için kullanılan normalizasyon metotlarına yeni bir yaklaşım
B Akdemir
Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 2009
62009
Cell‐type based semantic segmentation of histopathological images using deep convolutional neural networks
Ş Öztürk, B Akdemir
International Journal of Imaging Systems and Technology 29 (3), 234-246, 2019
52019
Comparison of HOG, MSER, SIFT, FAST, LBP and CANNY features for cell detection in histopathological images
Ş Öztürk, A Bayram
HELIX 8 (3), 3321-3325, 2018
52018
Glass surface defects detection with wavelet transforms
B Akdemir, S Öztürk
International Journal of Materials, Mechanics and Manufacturing 3 (3), 170-173, 2015
52015
Importance of holidays for short term load forecasting using adaptive neural fuzzy inference system
B Akdemir, N Çetinkaya
Advanced Materials Research 433, 3959-3963, 2012
42012
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20