Dr. Recep Benzer
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Dr. Recep Benzer

Associate Professor
Department of Management Information System, Başkent University, Ankara, Turkey

Highest Degree
Ph.D. in Industry Engineering from Gazi University Science Institute, Turkey

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Biography

Dr. Recep Benzer has obtained his Ph.D. in Industry Engineering from Gazi University Science Institute, Turkey. His main area of interest focuses on Mathematical Model, Line balancing; Forecasting, Information System, Software Engineering and Forensic, and ANN. His area of expertise includes Mathematical Model, Line Balancing, Forecasting, Information System, Software Engineering, Forensic, Bioinformatics, Short Way, Fisheries, Traditional Models, 0-1 Math Model, Fuzzy System, and Artificial Neural Networks. He has published 12 research articles in journals, 1 book, 9 national and international proceedings contributed as author/co-author.

Area of Interest:

Computer Sciences
100%
Artificial Neural Networks
62%
Information System
90%
Mathematical Modeling
75%
Bioinformatics
55%

Research Publications in Numbers

Books
0
Chapters
8
Articles
25
Abstracts
6

Selected Publications

  1. Benzer, S. and R. Benzer, 2019. Growth and length-weight relationships of Pseudorasbora parva (Temminck and Schlegel, 1846) in Hirfanli Dam lake, Turkey: Comparison with traditional and artificial neural networks approaches. Iran. J. Fish. Sci., 10.22092/ijfs.2018.119889.
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  2. Benzer, S. and R. Benzer, 2018. New perspectives for predicting growth properties of crayfish (Astacus leptodactylus Eschscholtz, 1823) in Uluabat lake. Pak. J. Zool., 50: 35-45.
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  3. Benzer, S. and R. Benzer, 2018. Modelling nitrate prediction of groundwater and surface water using artificial neural networks. Politeknik Dergisi, 21: 321-325.
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  4. Benzer, R. and S. Benzer, 2018. Enterprise Business Management. In: Alternative Approaches to Traditional Methods for Growth Parameters of Fisheries Industry: Artificial Neural Networks, Erkollar, A. (Ed.)., Tectum Verlag, Germany.
  5. Varli, D. and R. Benzer, 2017. Evaluation of radio link design with different modulation and Antenna schemes. J. Eng. Technol., 8: 105-122.
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  6. Benzer, S., R. Benzer and A.C. Gunal, 2017. Artificial neural networks approach in morphometric analysis of crayfish (Astacus leptodactylus) in Hirfanli dam lake. Biologia, 72: 527-535.
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  7. Benzer, S., R. Benzer and A.C. Gunal, 2017. Artificial neural networks approach in length-weight relation of crayfish (Astacus leptodactylus Eschscholtz, 1823) in Egirdir lake, Isparta, Turkey. J. Coast. Life Med., 5: 330-335.
  8. Benzer, S., 2017. Comparative growth models of big-scale sand smelt (Atherina boyeri Risso, 1810) sampled from Hirfanll dam lake, Klrsehir, Ankara, Turkey. Comput. Ecol. Software, 7: 82-90.
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  9. Benzer, S. and R. Benzer, 2017. Examination of international Pisa test results with artificial neural networks and regression methods. Savunma Bilimleri Dergisi, 16: 1-13.
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  10. Benzer, S., R. Benzer and A. Gul, 2016. Developments in Science and Engineering. In: Artificial Neural Networks Application for Biological Systems: The Case Study of Pseudorasbora parva, Efe, R., L. Matchavariani, A. Yaldir and L. Levai (Eds.)., St. Kliment Ohridski University Presssofia Press, Ankara, pp: 48-58.
  11. Benzer, S. and R. Benzer, 2016. Evaluation of growth in pike (Esox lucius L., 1758) using traditional methods and artificial neural networks. Applied Ecol. Environ. Res., 14: 543-554.
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  12. Akdemir, O.K., T. Dursun, S. Arslan, R. Benzer and M.A. Akcayol, 2016. A GIS-based novel active monitoring system for fiber networks. Turk. J. Elect. Eng. Comput. Sci., 24: 247-261.
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  13. Gulluce, Y.Z. and R. Benzer, 2015. Hard disk failure and data recovery methods in computer forensic. Int. J. Hum. Sci., 12: 206-225.
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  14. Benzer, S., C.K. Benli and R. Benzer, 2015. The comparison of growth with length-weight relation and artificial neural networks of crayfish (Astacus leptodactylus Eschscholtz, 1823) in Mogan Lake. J. Black Sea/Mediterr. Environ. Vol. 22, (In Press). .
  15. Benzer, R., 2015. Population dynamics forecasting using artificial neural networks. Fresenius Environ. Bull., 24: 460-466.
  16. Benzer, R., 2015. E-government in developed countries, the case of Turkey. Int. J. Comput. Sci. Inform. Technol., 6: 710-714.
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  17. Benzer, R. and S. Benzer, 2015. Application of artificial neural network into the freshwater fish caught in Turkey. Int. J. Fish. Aquatic Stud., 2: 341-346.
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  18. Dursun, T., O.K. Akdemir and R. Benzer, 2014. Robust software architecture for a fiber network monitoring system. Int. J. Adv. Res. Comput. Sci. Software Eng., 4: 72-79.
  19. Benzer, R., 2014. Application of artificial neural network into the fishery products and forecast. Int. J. Acad. Res. Part A, 6: 407-411.
  20. Akdemir, O.K., T. Dursun, S. Arslan, R. Benzer and M.A. Akcayol, 2013. A GIS based novel active monitoring system for fiber networks. Turk. J. Electr. Eng. Comput. Sci. 10.3906/elk-1306-217.
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  21. Tekindal, B., R. Benzer and A.I. Benzer, 2007. Comparing search algorithms in used artificial intelligence application. J. Defense Sci., 6: 88-103.
  22. Benzer, R., H. Gokcen, T. Cetinyokus and H. Cercioglu, 2007. A network model for parallel line balancing problem. Mathe. Problems Eng. 10.1155/2007/10106.
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  23. Gokcen, H., K. Agpak and R. Benzer, 2006. Balancing of parallel assembly lines. Int. J. Prod. Econ., 103: 600-609.
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