Prof. Dr. CELAL &#214;ZT&#220;RK

Moustapha M., Tasyurek M., ÖZTÜRK C.

Applied Soft Computing , cilt.143, 2023 (SCI-Expanded, Scopus)

8. A Novel YOLOv5 Deep Learning Model for Handwriting Detection and Recognition

International Journal on Artificial Intelligence Tools , cilt.32, sa.4, 2023 (SCI-Expanded, Scopus)

9. Transfer learning and fine-tuned transfer learning methods' effectiveness analyse in the CNN-based deep learning models

Öztürk C., Taşyürek M., Türkdamar M. U.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , cilt.35, sa.4, 2023 (SCI-Expanded, Scopus)

10. Transfer öğrenmeli ve transfer öğrenmesiz derin ağlar ile inşaat alanında kask tespiti

Türkdamar M. U., TAŞYÜREK M., ÖZTÜRK C.

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi , cilt.12, sa.1, ss.39-51, 2023 (TRDizin)

11. A fine-tuned YOLOv5 deep learning approach for real-time house number detection

Taşyürek M., ÖZTÜRK C.

PeerJ Computer Science , cilt.9, 2023 (SCI-Expanded, Scopus)

12. Optimization of Climatic Conditions Affecting Determination of the Amount of Water Needed by Plants in Relation to Their Life Cycle with Particle Swarm Optimization, and Determining the Optimum Irrigation Schedule

Bulbul M. A., ÖZTÜRK C., Isik M. F.

COMPUTER JOURNAL , cilt.65, sa.10, ss.2654-2663, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

13. Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming

Demirbaş M. D., Çakır D., Öztürk C., Arslan S.

APPLIED SCIENCES , cilt.12, sa.16, ss.8198-8212, 2022 (SCI-Expanded, Scopus)

14. Optimization, Modeling and Implementation of Plant Water Consumption Control Using Genetic Algorithm and Artificial Neural Network in a Hybrid Structure

BÜLBÜL M. A., ÖZTÜRK C.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , cilt.47, sa.2, ss.2329-2343, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

15. MANAGING PRODUCTION PROCESS IN A PET RESIN INDUSTRY USING DATA MINING AND GENETIC PROGRAMMING

DENİZHAN B., GÜRBÜZ F., ÖZTÜRK C.

INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE , cilt.29, sa.5, ss.607-617, 2022 (SCI-Expanded, Scopus)

16. DDL: A new deep learning based approach for multiple house numbers detection and clustering

TAŞYÜREK M., ÖZTÜRK C.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , cilt.37, sa.2, ss.843-856, 2022 (SCI-Expanded, Scopus, TRDizin)

17. Derin Öğrenme Yöntemi ile İç Anadolu Bölgesi ve Çevresi Hava Kirliliği Tahmini

Avrupa Bilim ve Teknoloji Dergisi , cilt.29, ss.168-173, 2021 (TRDizin)

18. Traffic Density Estimation using Machine Learning Methods

Karim S. M., ÖZTÜRK C., Mahmood M. K.

Journal of Artificial Intelligence and Data Science , cilt.1, sa.2, ss.136-143, 2021 (Hakemli Dergi)

19. Sizing and layout optimization of truss structures with artificial bee colony algorithm

Jawad F. K., Öztürk C., Dansheng W., Mahmood M., Al-Azzawi O., Al-Jemely A.

Structures , cilt.30, ss.546-559, 2021 (SCI-Expanded, Scopus)

20. ABC-Based Optimization of Cluster Head Selection in Wireless Sensor Networks

INTERNATIONAL JOURNAL ON ELECTRICAL ENGINEERING AND INFORMATICS , cilt.13, ss.287-296, 2021 (Scopus)

21. Solving differential equations with artificial bee colony programming

Boudouaoui Y., Habbi H., ÖZTÜRK C., KARABOĞA D.

SOFT COMPUTING , cilt.24, sa.23, ss.17991-18007, 2020 (SCI-Expanded, Scopus)

22. Feature selection and classification of metabolomics data using artificial bee colony programming (ABCP)

ÖZTÜRK C., Tarim M., Arslan S.

INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS , cilt.23, sa.2, ss.101-118, 2020 (SCI-Expanded, Scopus)

23. Multi Hive Artificial Bee Colony Programming for high dimensional symbolic regression with feature selection

Arslan S., Öztürk C.

APPLIED SOFT COMPUTING , cilt.78, ss.515-527, 2019 (SCI-Expanded, Scopus)

24. Artificial Bee Colony Programming Descriptor for Multi-Class Texture Classification

APPLIED SCIENCES-BASEL , cilt.9, sa.9, 2019 (SCI-Expanded, Scopus)

25. A comparative study of automatic programming techniques

Informatica (Slovenia) , cilt.43, sa.2, ss.281-289, 2019 (Scopus)

26. Artificial Bee Colony Programming for Feature Selected Cancer Data Classification

International Journal of Scientific and Technological Research , cilt.4, ss.75-84, 2018 (Hakemli Dergi) Sürdürülebilir Kalkınma

27. Equivalent stress analysis of functionally graded rectangular plates by genetic programming

DEMİRBAŞ M. D., Çakır D., Arslan S., ÖZTÜRK C.

International Scientific and Vocational Studies Journal , cilt.2, sa.1, ss.67-80, 2018 (Hakemli Dergi)

28. Modified multiple search cooperative foraging strategy for improved artificial bee colony optimization with robustness analysis

Harfouchi F., Habbi H., ÖZTÜRK C., KARABOĞA D.

Soft Computing , ss.6371-6394, 2018 (SCI-Expanded, Scopus)

29. Closed-form design equations for asymmetric coplanar strip line with an infinitely wide strip

YILDIZ C., Kisioglu H., ÖZTÜRK C.

ELECTROMAGNETICS , cilt.37, sa.6, ss.411-421, 2017 (SCI-Expanded, Scopus)

30. Protein Structure Prediction with Discrete Artificial Bee Colony Algorithm

Batbat T., Öztürk C.

International Journal of Informatics Technologies , cilt.9, sa.3, ss.263-274, 2016 (TRDizin)

31. A new artificial bee colony algorithm to solve the multiple sequence alignment problem

ÖZTÜRK C., Aslan S.

INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS , cilt.14, sa.4, ss.332-353, 2016 (SCI-Expanded, Scopus)

32. A new vision of evaluating gene expression signatures

Lai H., ÖZTÜRK C., Albrecht A., Steinhoefel K.

COMPUTATIONAL BIOLOGY AND CHEMISTRY , cilt.57, ss.54-60, 2015 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

33. Improved clustering criterion for image clustering with artificial bee colony algorithm

PATTERN ANALYSIS AND APPLICATIONS , cilt.18, sa.3, ss.587-599, 2015 (SCI-Expanded, Scopus)

34. A novel binary artificial bee colony algorithm based on genetic operators

INFORMATION SCIENCES , cilt.297, ss.154-170, 2015 (SCI-Expanded, Scopus)

35. Dynamic clustering with improved binary artificial bee colony algorithm

APPLIED SOFT COMPUTING , cilt.28, ss.69-80, 2015 (SCI-Expanded, Scopus)

36. Self-generated fuzzy systems design using artificial bee colony optimization

HABBI H., BOUDOUAOUI Y., KARABOĞA D., OZTURK C.

INFORMATION SCIENCES , cilt.295, ss.145-159, 2015 (SCI-Expanded, Scopus)

37. A comprehensive survey: artificial bee colony (ABC) algorithm and applications

KARABOĞA D., GÖRKEMLİ B., ÖZTÜRK C., KARABOĞA N.

ARTIFICIAL INTELLIGENCE REVIEW , cilt.42, sa.1, ss.21-57, 2014 (SCI-Expanded, Scopus)

38. AUTOMATIC CLUSTERING WITH GLOBAL BEST ARTIFICIAL BEE COLONY ALGORITHM

ÖZTÜRK C., Hancer E., KARABOĞA D.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY , cilt.29, sa.4, ss.677-687, 2014 (SCI-Expanded, Scopus, TRDizin)

39. Color Image Quantization: A Short Review and an Application with Artificial Bee Colony Algorithm

INFORMATICA , cilt.25, sa.3, ss.485-503, 2014 (SCI-Expanded, Scopus)

40. Prediction of electricity energy consumption of Turkey via artificial bee colony: a case study

GÜRBÜZ F., ÖZTÜRK C., Pardalos P.

Energy Systems , cilt.4, sa.3, ss.289-300, 2013 (Scopus) Sürdürülebilir Kalkınma

41. Artificial bee colony programming for symbolic regression

KARABOĞA D., ÖZTÜRK C., KARABOĞA N., GÖRKEMLİ B.

INFORMATION SCIENCES , cilt.209, ss.1-15, 2012 (SCI-Expanded, Scopus)

42. Cluster based wireless sensor network routing using artificial bee colony algorithm

KARABOĞA D., ÖKDEM S., ÖZTÜRK C.

WIRELESS NETWORKS , cilt.18, sa.7, ss.847-860, 2012 (SCI-Expanded, Scopus)

43. Artificial bee colony algorithm for dynamic deployment of wireless sensor networks

ÖZTÜRK C., KARABOĞA D., GÖRKEMLİ B.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , cilt.20, sa.2, ss.255-262, 2012 (SCI-Expanded, Scopus, TRDizin)

44. Probabilistic Dynamic Deployment of Wireless Sensor Networks by Artificial Bee Colony Algorithm

ÖZTÜRK C., KARABOĞA D., GÖRKEMLİ B.

SENSORS , cilt.11, sa.6, ss.6056-6065, 2011 (SCI-Expanded, Scopus)

45. A novel clustering approach: Artificial Bee Colony (ABC) algorithm

KARABOĞA D., ÖZTÜRK C.

APPLIED SOFT COMPUTING , cilt.11, sa.1, ss.652-657, 2011 (SCI-Expanded, Scopus)

46. THE ARTIFICIAL BEE COLONY ALGORITHM IN TRAINING ARTIFICIAL NEURAL NETWORK FOR OIL SPILL DETECTION

ÖZKAN C., ÖZTÜRK C., Sunar F., KARABOĞA D.

NEURAL NETWORK WORLD , cilt.21, sa.6, ss.473-492, 2011 (SCI-Expanded, Scopus)

47. Fuzzy clustering with artificial bee colony algorithm

KARABOĞA D., ÖZTÜRK C.

SCIENTIFIC RESEARCH AND ESSAYS , cilt.5, sa.14, ss.1899-1902, 2010 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

48. NEURAL NETWORKS TRAINING BY ARTIFICIAL BEE COLONY ALGORITHM ON PATTERN CLASSIFICATION

KARABOĞA D., ÖZTÜRK C.

NEURAL NETWORK WORLD , cilt.19, sa.3, ss.279-292, 2009 (SCI-Expanded, Scopus)

49. Artificial Bee Colony ABC Optimization Algorithm For Training Feed Forward Neural Networks Bu çalısma LNCS tarafından konferans yayınından makale olarak yayınlanmıstır

KARABOĞA D., AKAY B., ÖZTÜRK C.

LNCS: Modeling Decisions forArtificial Intelligence , cilt.4617, ss.318-329, 2007 (Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 64

1. Türkçe E-Ticaret Yorumları Üzerinde Duygu Analizi: Bert İle Klasik Yöntemlerin Karşılaştırılması

Çiftçi M., YALÇIN N., ÖZTÜRK C.

5th International Artificial Intelligence and Data Science Congress (ICADA 2025), Zonguldak, Türkiye, 24 Nisan 2025, ss.545-550, (Tam Metin Bildiri)

2. Spatial and Spatiotemporal Clustering Algorithms in Data Mining

Moustapha M., ÖZTÜRK C.

3rd International Conference on Data, Electronics and Computing (ICDEC24), 18 - 20 Eylül 2024, (Tam Metin Bildiri)

3. Storing and Transferring Data of Parallel Agents to the Parent Process in Agent-Based Simulations

ÖZDİN E., SELÇUKLU S. B., ÖZTÜRK C.

The 32nd IEEE Conference on Signal Processing and Communications Applications (SIU24), 15 - 18 Mayıs 2024, (Tam Metin Bildiri)

4. DERİN ÖĞRENME ALGORİTMASI YOLO İLE BEYİN TÜMÖRÜ SINIFLANDIRILMASI

ÜNLÜLEBLEBİCİ S., KAÇMAZ R. N., ÖZTÜRK C.

I. BİLSEL INTERNATIONAL ÇATALHÖYÜK SCIENTIFIC RESEARCHES CONGRESS, Türkiye, 28 - 29 Ekim 2023, (Tam Metin Bildiri)

5. Geri Dönüştürülebilir Atıkların Önerilen Derin Öğrenme Modeli ile Sınıflandırılması

SARICA KEÇECİ H., ÖZTÜRK C.

The 10th International Management Information Systems Conference, Türkiye, 18 Ekim 2023, (Tam Metin Bildiri)

6. Cross Site Scripting (XSS) Saldırılarının Sınıflandırılması için Yapay Arı Kolonisi Algoritması Temelli Evrişimsel Sinir Ağı

BOZOĞULLARINDAN E., ÖZTÜRK C.

Innovations in Intelligent Systems and Applications Conference, Türkiye, 11 - 13 Ekim 2023, (Tam Metin Bildiri)

7. Detection of Turkish Fraudulent Domain Names to Proactively Prevent Phishing Attacks Using A Character-Level Convolutional Neural Network

BOZOĞULLARINDAN C., ÖZTÜRK C.

Innovations in Intelligent Systems and Applications Conference, Türkiye, 11 - 13 Ekim 2023, (Tam Metin Bildiri)

8. Field Detection from Satellite Images with Deep Learning Methods

Türkdamar M. U., Taşyürek M., ÖZTÜRK C.

6th International Conference on Inventive Computation Technologies, ICICT 2023, Lalitpur, Nepal, 26 - 28 Nisan 2023, ss.1-8, (Tam Metin Bildiri)

9. X-Ray Filmlerinden Transfer Öğrenmeli Faster R-CNN Derin Öğrenme ile Zatürre Tespiti

TÜRKDAMAR M. U., TAŞYÜREK M., ÖZTÜRK C.

IV. INTERNATIONAL TURKIC WORLD CONGRESS ON SCIENCE AND ENGINEERING, Niğde, Türkiye, 23 Haziran 2022, (Tam Metin Bildiri)

10. MR Görüntüleri Ön İşlenerek Derin Ağlar ile Alzheimer Hastalık Tespiti

ÜNLÜLEBLEBİCİ S., TAŞYÜREK M., ÖZTÜRK C.

International Conference On Emerging Sources In Science, İstanbul, Türkiye, 26 Mayıs 2022, (Tam Metin Bildiri)

11. Uzun Süreli Kısa Bellek Ağı Yöntemi ile Trafik Yoğunluk Tahmini

International Conference on Artificial Intelligence and Data Science, Türkiye, 26 Kasım 2021, (Tam Metin Bildiri)

12. Derin Öğrenme Yöntemi ile İç Anadolu Bölgesi ve Çevresi Hava Kirliliği Tahmin

International Symposium on Multidisciplinary Studies and Innovative Technologies, Türkiye, 21 Ekim 2021, (Tam Metin Bildiri)

13. Indoor Positioning Using Ultra-Wideband Technology

AYDIN S., ÖZTÜRK C.

International Congress on Art and Design Research and Exhibition, Türkiye, 21 Haziran 2021, (Tam Metin Bildiri)

14. Time Series Modeling and Forecasting of the Covid-19 Pandemic in Turkiye Using Multi Gene Genetic Programming

Bozoğullarından E., Bozoğullarından C., Öztürk C.

III. International Conference on COVID-19 Coronavirus Studies, 25 - 27 Aralık 2020, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

15. Transfer Learning in Artificial Bee Colony Programming

Innovations in Intelligent Systems and Applications Conference (ASYU), 15 - 17 Ekim 2020, ss.1-7, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

16. Optimization Clustering Routing Techniques in Wireless Sensor Networks

Ahmed A. H., ÖZTÜRK C., Lafta W. M., Nasif M. A.

2nd Scientific Conference of Computer Sciences (SCCS), 27 - 28 Mart 2019, (Tam Metin Bildiri)

17. Bulut Tabanlı Yapay Arı Koloni Programlama Web Uygulaması

BOZOĞULLARINDAN C., ÖZTÜRK C.

Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı, 31 Ekim - 02 Kasım 2019, (Tam Metin Bildiri)

18. Cloud-based Artificial Bee Colony Programming Web Application Bulut Tabanli Yapay Ari Koloni Programlama Web Uygulamasi

BOZOĞULLARINDAN C., ÖZTÜRK C.

2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019, İzmir, Türkiye, 31 Ekim - 02 Kasım 2019, (Tam Metin Bildiri)

19. Alternative Approach of Patient Monitoring System Based on Internet of Things

MOUSTAPHA M., ÖZTÜRK C.

II. International Science and Academic Congress (INSAC) 2019, 19 - 20 Nisan 2019, (Tam Metin Bildiri)

20. Two-Dimensional Error Estimation in Point Positioning with Fuzzy Logic Bulanik Mantik Ile Nokta Konum Belirlemede Iki Boyutlu Hata Tahmini

Bülbül M. A., ÖZTÜRK C., Ilçi V., Ozulu I. M.

2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018, Malatya, Türkiye, 28 - 30 Eylül 2018, (Tam Metin Bildiri)

21. Bulanık Mantık İle Nokta Konum Belirlemede İki Boyutlu Hata Tahmini

BÜLBÜL M. A., ÖZTÜRK C., İLÇİ V., OZULU İ. M.

International Conference on Artificial Intelligence and Data Processing (IDAP 2018), 28 - 30 Eylül 2018, (Tam Metin Bildiri)

22. Görsel Motor Algılama Testi İçin Bir Uzman Sistem Tasarımı

BÜLBÜL M. A., ÖZTÜRK C.

II. International Scientific and Vocational Studies Congress, 5 - 07 Temmuz 2018, (Tam Metin Bildiri)

23. Feature selected cancer data classification with genetic programming Genetik programlama ile kanser verisinin öznitelik Seçilerek Siniflandirilmasi

21st National Biomedical Engineering Meeting, BIYOMUT 2017, İstanbul, Türkiye, 24 - 26 Kasım 2017, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

24. Çok Sınıflı Desenli Sınıflandırma Problemi için Genetik Programlama Tanımlayıcı

The International Conference on Innovative Engineering Applications, 20 - 22 Eylül 2018, (Tam Metin Bildiri)

25. Equivalent stress analysis of functionally graded plates by genetic programming

DEMİRBAŞ M. D., ÖZTÜRK C., Arslan S., Çakır D.

II. International Scientific and Vocational Studies Congress (BILMES 2018), Nevşehir, Türkiye, 5 - 08 Temmuz 2018, ss.553-554, (Özet Bildiri)

26. AKADEMİK BENLİK KAVRAMI ÖLÇEĞİ UYGULAMASI İÇİN UZMAN SİSTEM TASARIMI

Aruk İ., Ökdem S., Öztürk C.

III. ULUSLARARASI MESLEKİ VE TEKNİK BİLİMLER KONGRESİ, Gaziantep, Türkiye, 21 - 22 Haziran 2018, ss.361-366, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

27. An Application to Intrusion Prevention in Wireless Networks

Hamzah M., ÖZTÜRK C.

International Conference on Engineering Technologies (ICENTE17), Konya, Türkiye, 7 - 09 Aralık 2017, ss.87-91, (Tam Metin Bildiri)

28. Feature Selected Cancer Data Classification with Genetic Programming

21. Biyomedikal Mühendisliği Ulusal Toplantısı (BIYOMUT17), İstanbul, Türkiye, 24 - 26 Kasım 2017, ss.1-4, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

29. Mobile Based Traffic Offences Report System

Aksoy A., ÖZTÜRK C.

Akıllı Sistemlerde Yenilikler ve Uygulamalar (ASYU17), Antalya, Türkiye, 5 - 07 Ekim 2017, ss.1-5, (Tam Metin Bildiri)

30. Mobil Tabanlı Trafik Suçları İhbar Sistemi

AKSOY A., ÖZTÜRK C.

Akıllı Sistemlerde Yenilikler ve Uygulamalar (ASYU17), 5 - 07 Ekim 2017, (Tam Metin Bildiri)

31. Prediction of Cherkassky Function by Artificial Bee Colony Programming