A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms P Civicioglu, E Besdok Artificial intelligence review 39, 315-346, 2013 | 866 | 2013 |
Mühendislikte yapay zeka uygulamaları-I: yapay sinir ağları Ş Sağiroğlu, M Erler, E Beşdok Ufuk Kitabevi, 2003 | 309 | 2003 |
A comparison of RBF neural network training algorithms for inertial sensor based terrain classification T Kurban, E Beşdok Sensors 9 (8), 6312-6329, 2009 | 183 | 2009 |
Comparison of evolutionary and swarm based computational techniques for multilevel color image thresholding T Kurban, P Civicioglu, R Kurban, E Besdok Applied Soft Computing 23, 128-143, 2014 | 135 | 2014 |
A simple neuro-fuzzy impulse detector for efficient blur reduction of impulse noise removal operators for digital images ME Yuksel, E Besdok IEEE Transactions on fuzzy systems 12 (6), 854-865, 2004 | 115 | 2004 |
Weighted differential evolution algorithm for numerical function optimization: a comparative study with cuckoo search, artificial bee colony, adaptive differential evolution … P Civicioglu, E Besdok, MA Gunen, UH Atasever Neural Computing and Applications 32, 3923-3937, 2020 | 106 | 2020 |
Bernstain-search differential evolution algorithm for numerical function optimization P Civicioglu, E Besdok Expert Systems with Applications 138, 112831, 2019 | 81 | 2019 |
Control chart pattern recognition using artificial neural networks Ş SAĞIROĞLU Turkish Journal of Electrical Engineering and Computer Science 8 (2), 137-146, 2000 | 76 | 2000 |
Bezier Search Differential Evolution Algorithm for numerical function optimization: A comparative study with CRMLSP, MVO, WA, SHADE and LSHADE P Civicioglu, E Besdok Expert Systems with Applications 165, 113875, 2021 | 62 | 2021 |
Impulsive noise suppression from images with Jarque-Bera test based median filter E Beşdok, ME Yüksel AEU-International Journal of Electronics and Communications 59 (2), 105-110, 2005 | 62 | 2005 |
Detail-preserving restoration of impulse noise corrupted images by a switching median filter guided by a simple neuro-fuzzy network ME Yüksel, A Baştürk, E Beşdok EURASIP Journal on Advances in Signal Processing 2004, 1-11, 2004 | 50 | 2004 |
Impulsive noise suppression from images with the noise exclusive filter P Çivicioğlu, M Alçı, E Beşdok EURASIP Journal on Advances in Signal Processing 2004, 1-7, 2004 | 45 | 2004 |
Comparative analysis of the cuckoo search algorithm P Civicioglu, E Besdok Cuckoo Search and Firefly Algorithm: Theory and Applications, 85-113, 2014 | 44 | 2014 |
Hiding information in multispectral spatial images E Beşdok AEU-International Journal of Electronics and Communications 59 (1), 15-24, 2005 | 37 | 2005 |
Camera calibration by using weighted differential evolution algorithm: a comparative study with ABC, PSO, COBIDE, DE, CS, GWO, TLBO, MVMO, FOA, LSHADE, ZHANG and BOUGUET MA Gunen, E Besdok, P Civicioglu, UH Atasever Neural Computing and Applications 32 (23), 17681-17701, 2020 | 32 | 2020 |
Using an adaptive neuro-fuzzy inference system-based interpolant for impulsive noise suppression from highly distorted images E Beşdok, P Çivicioğlu, M Alçı Fuzzy Sets and Systems 150 (3), 525-543, 2005 | 26 | 2005 |
Using an exact radial basis function artificial neural network for impulsive noise suppression from highly distorted image databases P Çivicioğlu, M Alçı, E Beṣdok International Conference on Advances in Information Systems, 383-391, 2004 | 26 | 2004 |
Differential search algorithm based edge detection MA Gunen, P Civicioglu, E Beşdok The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 24 | 2016 |
A new method for impulsive noise suppression from highly distorted images by using Anfis E Beşdok Engineering Applications of Artificial Intelligence 17 (5), 519-527, 2004 | 23 | 2004 |
Artificial intelligence applications in Engineering I: artificial neural networks S Sagiroglu, E Besdok, M Erler Ufuk Kitap Kirtasiye-Yayincilik, Kayseri, Turkey, 2003 | 23 | 2003 |