1.       Beşdok, E., Geymen, A., Özkan, C., Palancıoğlu, H.M., Animation-Based Learning Of Map Projections In Geomatics Engineering               Computer Applications in Engineering Education      (in press)  2010

2.       Kurban T, Beşdok E             A Comparison of RBF Neural Network Training Algorithms for Inertial Sensor Based Terrain Classification               Sensors  9, 8, 6312-6329 2009

3.       Beşdok E               3D Vision by Using Calibration Pattern with Inertial Sensor and RBF Neural Networks          Sensors  9, 6, 4572-4585               2009

4.       Geymen, A. (2009). Development of an information and management system for recording, analysis, protection and revitalization of cultural heritage application case study of Istanbul. Lasers in Engineering, 19(1-2): 93-108.

5.       Baz, I., Geymen, A., Er, S.N. (2009). Development and application of GIS-based analysis/synthesis modeling techniques for urban planning of Istanbul Metropolitan Area. Advances in Engineering Software, 40(2): 128-140.

6.       Kucukmehmetoglu, M. & Geymen, A. (2009). Urban sprawl factors in the surface water resource basins of Istanbul. Land Use Policy, 26: 569-579.

7.       Çete, M., Durduran, S., Geymen, A. (2009). Urban information systems in Turkey. Proceedings of Institution of Civil Engineers, Municipal Engineer, 162(2):103-109.

8.       Bayraktar, H., “Modeling Visible Part Spectral Range of Electromagnetic Spectrum Using Neural Networks”, “Elektromanyetik Spektrum Görünür Bölgesi Spektral Aralığının Yapay Sinir Ağları İle Modellenmesi”, Sigma Mühendislik ve Fen Bilimleri Dergisi, Doktora Tezinden Üretilmiş Yayınlar 2009 Özel Sayısı, 2009

9.       Demir, O., Uzun, B. and Çete, M., 2008. Turkish Cadastral System, Survey Review, 40, 307 pp.54-66. (SCI-Expanded)

10.    Beşdok E               Neurovision with resilient neural networks     Lecture Notes In Computer Science 4781, 438-444    2007

11.    Berberoglu, S., F. Evrendilek, C. Ozkan and C. Donmez, Modeling Forest Productivity Using Envisat MERIS Data, Sensors, 10(7), 2115-2127, 2007.

12.    Beşdok E, Civicioglu P        Adaptive implicit-Camera Calibration in photogrammetry using Anfis     Lecture Notes In Artificial Intelligence           4251, 606-613    2006

13.    Civicioglu P, Beşdok E        Implicit camera calibration by using resilient neural networks    Lecture Notes In Computer Science 4233, 632-640               2006

14.    Özkan, C., Surface Interpolation by Adaptive Neuro-fuzzy Inference System Based Local Ordinary Kriging, Lecture Notes in Computer Science, 3851, 196-205, 2006.

15.    Beşdok E, Palancioglu HM Modelling uncertainties related to movements of objects through signatures        International Journal Of Remote Sensing   26, 14, 3103-3120             2005

16.    Altun F, Beşdok E, Haktanır T, et al.  Flexural response of reinforced-concrete beams based on multidimensional data analysis  Indian Journal Of Engineering And Materials Sciences            12, 4, 292-298     2005

17.    Beşdok E, Civicioglu P, Alcı M           Using Anfis with circular polygons for impulsive noise suppression from highly distorted images               Aeu-International Journal Of Electronics And Communications 59, 4, 213-221     2005

18.    Beşdok E, Yüksel ME           Impulsive noise suppression from images with Jarque-Bera test based Median Filter            Aeu-International Journal Of Electronics And Communications         59, 2,105-110      2005

19.    Beşdok E               Hiding information in multispectral spatial images       Aeu-International Journal Of Electronics And Communications 59, 1, 15-24         2005

20.    Beşdok E, Civicioglu P, Alcı M           Using an adaptive neuro-fuzzy inference system-based interpolant for impulsive noise suppression from highly distorted images      Fuzzy Sets And Systems      150, 3, 525-543 2005

21.    Özkan, C. and F.S. Erbek, Comparing Feature Extraction Techniques for Urban Land-Use Classification, International Journal of Remote Sensing, 26(4), 747-757, 2005.

 

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