{"id":14,"date":"2015-11-10T20:08:40","date_gmt":"2015-11-10T18:08:40","guid":{"rendered":"https:\/\/www.kursatcevik.com\/?page_id=14"},"modified":"2026-04-01T14:06:29","modified_gmt":"2026-04-01T11:06:29","slug":"yayinlar","status":"publish","type":"page","link":"https:\/\/www.kursatcevik.com\/?page_id=14","title":{"rendered":"Yay\u0131nlar"},"content":{"rendered":"\n
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Google Scholar<\/a><\/p>\n

Uluslararas\u0131 hakemli dergilerde yay\u0131mlanan makaleler<\/strong><\/p>\n

    \n
  1. \u00c7EV\u0130K, K.K.,<\/strong> 2025, Assessing the impact of distance education contents on learning success using machine learning, COGENT EDUCATION, 12(2), 2602264. Link<\/a><\/li>\n
  2. KUPELI, H., KURU, I., \u00c7EV\u0130K, K.K.,<\/strong> BOZKURT A., 2025, Angiography-Based Detection of Coronary Artery Stenosis Using YOLO Algorithm, Traitement du Signal, 42(3), 1525-1539. Link<\/a><\/li>\n
  3. \u00c7EV\u0130K, K.K.,<\/strong> CIVILIBAL S., BOZKURT A., DANDIL E., 2024, Enhanced Lesion Classification Based on YOLO Architectures Using Thermal Breast Images on a Patient by Patient Basis, Traitement du Signal, 41(6), 2989-2999. Link<\/a><\/li>\n
  4. DANDIL E., \u00c7EV\u0130K K.K.,<\/strong> BO\u011eA M., 2024, Automated Classification System Based on YOLO Architecture for Body Condition Score in Dairy Cows, Veterinary Sciences, 11<\/em>(9), 399. Link<\/a><\/li>\n
  5. KORDEMIR M., \u00c7EV\u0130K, K.K., <\/strong>BOZKURT A., 2024, A Mask R-CNN approach for detection and classification of brain tumors from MR images, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11(7), 3024-3034. Link<\/a><\/li>\n
  6. CIVILIBAL S., \u00c7EV\u0130K, K.K., <\/strong>BOZKURT A., 2023, A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images, Expert Systems with Applications,212(2023), 118774. Link<\/a><\/li>\n
  7. \u00c7EV\u0130K K.K.,<\/strong> KO\u00c7ER H.E., BO\u011eA M., 2022, Deep Learning Based Egg Fertility Detection, Veterinary Sciences, 9<\/em>(10), 574. Link<\/a><\/li>\n
  8. \u00c7EVIK K.K., <\/strong>ANDA\u00c7 \u015e., 2022, Detection of Standard Plane From Ultrasound Scans by Deep Learning Methods for the Diagnosis Of Developmental Hip Dysplasia, Journal of Engineering Sciences and Design, 10(3), 1014-1026. Link<\/a><\/li>\n
  9. \u00d6NAL N., \u00c7EV\u0130K K.K.,\u00a0<\/strong>\u015eENOL V.,2022, The Effect Of SOS Table Learning Environment On Mobile Learning Tools Acceptance, Motivation And Mobile Learning Attitude in English Language Learning, Interactive Learning Environments, 30(5), 834-847. Link<\/a><\/li>\n
  10. DANDIL E., SELV\u0130 A.O., \u00c7EV\u0130K K.K.,<\/strong> YILDIRIM M.S., UZUN S., 2021, A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images. European Journal of Science and Technology, 29, 129-137. Link<\/a><\/li>\n
  11. \u00c7EVIK K.K.,<\/strong> 2020, Deep Learning Based Real-Time Body Condition Score Classification System. IEEE Access, 8: 213950-213957. Link<\/a><\/li>\n
  12. ERCAN U., IRMAK S., \u00c7EV\u0130K K.K., <\/strong>CANBAZO\u011eLU E., 2020 \u201cYapay Sinir A\u011flar\u0131 Kullan\u0131larak Konutlarda Elektrik T\u00fcketimi D\u00fczeylerinin Tahmin Edilmesi\u201d. Sosyoekonomi, 28(46), 173-186. Link<\/a><\/li>\n
  13. BO\u011eA M., \u00c7EV\u0130K K.K.,\u00a0<\/strong>\u00d6NDER H., 2020, Mobile application to obtain minimum cost feed mixes, Turkish Journal Of Veterinary And Animal Sciences, 44(2), 463-468. Link<\/a><\/li>\n
  14. BO\u011eA M., \u00c7EV\u0130K K.K.<\/strong>, BURGUT A., 2020, Classifying Milk Yield Using Deep Neural Network, Pakistan Journal Of Zoology, 52(4), 1319-1325. Link<\/a><\/li>\n
  15. \u00c7EV\u0130K K.K.<\/strong>, BO\u011eA M., 2019, Body Condition Score (BCS) Segmentation and Classification in Dairy Cows using R-CNN Deep Learning Architecture. European Journal of Science and Technology(17), 1248-1255. Link<\/a><\/span><\/li>\n
  16. BO\u011eA M., \u00c7EV\u0130K K.K.,<\/strong> KO\u00c7ER H.E., BURGUT A., 2019, Computer-Assisted Automatic Egg Fertility Control. Kafkas Universitesi Veteriner Fakultesi Dergisi, 25(4), 567-574. Link<\/a><\/span><\/li>\n
  17. \u00c7EV\u0130K K.K,<\/strong> KO\u00c7ER H.E., 2017, Computer Aided Control of Cutting Error in Textile Products. Tekstil ve Konfeksiyon, 27(3), 300-308. Link<\/a><\/span><\/li>\n
  18. \u00c7EV\u0130K K.K.,<\/strong> KO\u00c7ER H. E., 2016, Active Contour Based Developmental Hip Dysplasia Diagnosis with Graf Method. International Journal of Applied Mathematics, Electronics and Computers, 4, 230-235. Link<\/a><\/span><\/li>\n
  19. KO\u00c7ER, H.E.,\u00a0\u00c7EV\u0130K, K.K.,<\/strong>S\u0130VR\u0130, M., KOPLAY, M., 2016, Measuring the Effect of Filters on Segmentation of Developmental Dysplasia of the Hip. Iranian Journal of Radiology,\u00a0 13(3), 1-9<\/span>. Link<\/a><\/li>\n
  20. \u00c7EV\u0130K, K.K.,\u00a0<\/strong>KO\u00c7ER, H.E., ANDA\u00c7, \u015e., 2016, Segmentation of the Ilium and Femur Regions from Ultrasound Images for Diagnosis of Developmental Dysplasia of the Hip. Journal of Medical Imaging and Health Informatics, 6(2), 449-457. Link<\/a><\/li>\n
  21. KOCER, H.\u00a0E.,\u00a0CEVIK K.K.<\/strong>, 2011, “Artificial neural networks based vehicle license plate recognition”, Elsevier Procedia Computer Science, Vol.3, pp. 1033-1037. Link<\/a><\/li>\n<\/ol>\n

    Uluslararas\u0131 bilimsel toplant\u0131larda sunulan ve bildiri kitaplar\u0131nda (proceedings) bas\u0131lan bildiriler<\/strong><\/p>\n

      \n
    1. \u00c7EV\u0130K K.K.,<\/strong> KO\u00c7ER H.E., BO\u011eA M., TA\u015e S.M., 2021, Mask R-CNN Approach for Egg Segmentation and Fertility Egg Classification. International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021), 98-98, 1-3 October 2021, Antalya\/TURKEY.<\/li>\n
    2. \u00c7EV\u0130K K.K.,<\/strong> ANDA\u00c7 \u015e., 2021, Diagnosis of Developmental Hip Dysplasia By Detecting The Standard Plane From Real-Time Ultrasound Images Using Deep Learning Technique. International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) , 28-28, 1-3 October 2021, Antalya\/TURKEY.<\/li>\n
    3. DANDIL E., SELV\u0130 A.O., \u00c7EV\u0130K K.K.,<\/strong> YILDIRIM M.S., UZUN S., 2021, A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images. 5th International Symposium on Multidisciplinary Studies and Innovative Technologies, 23-23, 21-23 October 2021, Ankara\/TURKEY.<\/li>\n
    4. KO\u00c7ER H.E., \u00c7EVIK K.K.,<\/strong> 2020, Wrist Print Region Segmentation Based on Deep Neural Networks. International Conference on Engineering Technologies (ICENTE 2020), 19-21 November 2020, Konya\/TURKEY.<\/li>\n
    5. TAS\u0327 S.M.,\u00a0\u00c7EVIK K.K., <\/strong>2020. Genetik Algoritma Kullan\u0131larak Hems\u0327ire C\u0327izelgeleme Problemi C\u0327o\u0308zu\u0308mu\u0308. International Scientific Researches Association Journal (IBAD), 259-266, 1-2 Semptember 2020, Istanbul\/TURKEY.<\/li>\n
    6. \u00c7EVIK K.K.,<\/strong> KAYAKUS M., 2020, Estimating The Number of Visitors to E-Commerce Sites in Turkey During Covid-19 Using The Multiple Linear Regression Model. International Conference of Covid-19 (CONCOVID), 12-14 June 2020, Online Presentation.<\/li>\n
    7. \u00c7EV\u0130K K.K.,<\/strong> DANDIL E., 2019, BT G\u00f6r\u00fcnt\u00fcleri Kullan\u0131larak Evri\u015fimsel Sinir A\u011flar\u0131 ile Akci\u011fer Nod\u00fcllerinin S\u0131n\u0131fland\u0131r\u0131lmas\u0131. 2nd International Turkish World Engineering and Science Congress,pp. 1-5, 7-10 Nov 2019, Antalya\/TURKEY.<\/li>\n
    8. \u00c7EV\u0130K K.K,<\/strong> BO\u011eA M., 2019, Derin \u00d6\u011frenme ile V\u00fccut Kondisyon Skoru (VKS) S\u0131n\u0131fland\u0131r\u0131lmas\u0131. Ak\u0131ll\u0131 Sistemlerde Yenilikler ve Uygulamalar\u0131 Konferans\u0131 (ASYU),\u00a0pp.1-5, 31 Nov-02 Dec, \u0130zmir\/TURKEY. Doi:\u00a010.1109\/ASYU48272.2019.8946405<\/li>\n
    9. DANDIL E.,\u00a0\u00c7EV\u0130K K.K.,<\/strong> 2019, Computer Vision Based Distance Measurement System using Stereo Camera View. 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 936-940., 11-13 Oct. 2019, Ankara\/TURKEY, Doi: 10.1109\/ISMSIT.2019.8932817<\/li>\n
    10. KAYAKU\u015e M., \u00c7EV\u0130K K.K., <\/strong>2019 “The Estimation of Luminance Measurements in Road Lighting By Deep Learning Method”, International Conference on Artificial Intelligence and Applied Mathematics in Engineering 2019 (ICAIAME 2019), ANTALYA, T\u00dcRKIYE, , pp.111-112, 20-22 April Antalya\/TURKEY.<\/li>\n
    11. \u00c7EV\u0130K K.K.,<\/strong> BERBER F.S., K\u00dc\u00c7\u00dcKS\u0130LLE E.U.,2018, “Mapping Location of a Suspect by Using Forensicimages Taken with Their Own Mobile Phone”, International Conference on Engineering Technologies (ICENTE\u201918), pp.93-96, 26-28 October Konya\/TURKEY.<\/li>\n
    12. \u00c7EV\u0130K, K.K.,<\/strong>KO\u00c7ER, H.E., 2016, Developmental Hip Dysplasia segmentation of ultrasound images. 2016 24th Signal Processing and Communication Application Conference (SIU), pp. 109 \u2013 112, 16-19 May, Zonguldak, TURKEY.<\/li>\n
    13. BOGA, M.,\u00a0CEVIK, K.K.,<\/strong>KUTLU, H.,R., ONDER, H., 2014, “A mobile device based ration preparation software”, 65th Annual Meeting of the European Federation of Animal Science,\u00a0\u00a025-29 August,\u00a0Copenhagen\/ DENMARK.<\/li>\n
    14. UNAL, Y.,\u00a0KOCER, H.E.,\u00a0CEVIK, K.K,<\/strong>KIVRAK, A.S., 2014, “Diagnosis of Spinal Canal Region Diseases Using with Soft Computing Methods”, 9th International Statistics Day Symposium, 10-14 May, Antalya\/\u00a0TURKEY.<\/li>\n<\/ol>\n

      Ulusal hakemli dergilerde yay\u0131mlanan makaleler<\/strong><\/p>\n

        \n
      1. KURU I., KUPELI H., \u00c7EV\u0130K, K.K., <\/strong>(2025), Learnmate: Bilis\u0327sel Beceri O\u0308lc\u0327me ve Gelis\u0327tirmede Oyunlas\u0327t\u0131r\u0131lm\u0131s\u0327 Yaklas\u0327\u0131m, Uygulamal\u0131 Bilimler Fak\u00fcltesi Dergisi, 7(1-2), 1 – 13,.<\/li>\n
      2. KURU I., KUPELI H., \u00c7EV\u0130K, K.K., <\/strong>(2025), Derin \u00d6\u011frenme Modellerinin Testi i\u00e7in Ortak Platform Tasar\u0131m\u0131, Bilecik \u015eeyh Edebali \u00dcniversitesi Fen Bilimleri Dergisi, 12(2), 693 – 709, Doi: https:\/\/doi.org\/10.35193\/bseufbd.1732011<\/li>\n
      3. CIVILIBAL S., \u00c7EV\u0130K, K.K.,<\/strong> BOZKURT A., 2023, Derin \u00f6\u011frenme yard\u0131m\u0131yla aktif termogramlar \u00fczerinden meme lezyonlar\u0131nda malinite tespiti, S\u00fcleyman Demirel \u00dcniversitesi Fen Edebiyat Fak\u00fcltesi Fen Dergisi, 18(2), 140 – 156, Doi: 10.29233\/sdufeffd.1141226<\/li>\n
      4. KO\u00c7ER H.E., \u00c7EVIK K.K.,<\/strong> 2021, Deep neural networks based wrist print region segmentation and classification. MANAS Journal of Engineering, 9(1), 30-36. Doi: 10.51354\/mjen.853971<\/li>\n
      5. \u00c7EVIK K.K.,<\/strong> KAYAKUS M., 2020, Bili\u015fim Teknolojileri Departman\u0131nda Kullan\u0131c\u0131lar\u0131n Taleplerine Cevap Verme Su\u0308resinin Makine \u00d6\u011frenmesi Ile Tahmin Edilmesi. Mu\u0308hendislik Bilimleri ve Tasar\u0131m Dergisi, 8(3), 728-739., Doi: 10.21923\/jesd.722323<\/li>\n
      6. KAYAKUS M., \u00c7EVIK K.K,<\/strong>\u00a02020, Estimation the Number of Visitor of E-Commerce Website by Artificial Neural Networks During Covid19 in Turkey. Turkish Studies, 15(4), 615-631., Doi: 10.7827\/TurkishStudies.44299<\/li>\n
      7. DANDIL E., TURKAN M., BO\u011eA M.,\u00a0\u00c7EV\u0130K K.K.,<\/strong> 2019, Daha H\u0131zl\u0131 B\u00f6lgesel Evri\u015fimsel Sinir A\u011flar\u0131 ile S\u0131\u011f\u0131r Y\u00fczlerinin Tan\u0131nmas\u0131. Bilecik \u015eeyh Edebali \u00dcniversitesi Fen Bilimleri Dergisi, 6, 177-189.<\/li>\n
      8. \u00c7EV\u0130K K.K.,<\/strong> \u00d6NAL N., \u015eENOL V., 2018, A Mobile Application Design for Teaching English within the Context of \u201cTenses\u201d SOS Table. Online Academic Journal of Information Technology, 9(32), 74-86.<\/li>\n
      9. \u00c7EV\u0130K, K.K.,<\/strong>KO\u00c7ER, H.E., 2013, \u201cPar\u00e7ac\u0131k S\u00fcr\u00fc Optimizasyonu ile Yapay Sinir A\u011flar\u0131 E\u011fitimine Dayal\u0131 Bir Esnek Hesaplama Uygulamas\u0131\u201d, S\u00fcleyman Demirel \u00dcniversitesi Fen Bilimleri Enstit\u00fcs\u00fc Dergisi, Cilt 17., Say\u0131 2., Sayfa 39-45.<\/li>\n
      10. \u00c7EV\u0130K, K.K.,\u00a0<\/strong>KO\u00c7ER, H.E., 2012, \u201cMobil Cihaz Tabanl\u0131 Yabanc\u0131 Dilde Kelime \u00d6\u011frenme Uygulamas\u0131\u201d, Sel\u00e7uk \u00dcniversitesi Teknik-Online Dergisi, Cilt 11., Say\u0131 2., Sayfa 60-70.<\/li>\n
      11. \u00c7EV\u0130K, K.K<\/strong>., DANDIL, E., 2012, “Yapay Sinir A\u011flar\u0131 \u0130\u00e7in .Net Platformunda G\u00f6rsel Bir E\u011fitim Yaz\u0131l\u0131m\u0131n\u0131n Geli\u015ftirilmesi”, Gazi \u00dcniversitesi Bili\u015fim Teknolojileri Dergisi, Cilt 5., Say\u0131 1., Sayfa 19-28.<\/li>\n
      12. \u00c7EV\u0130K, K.K.,<\/strong>\u00c7AKIR, A., 2011, “G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Y\u00f6ntemleriyle Ara\u00e7 Plakalar\u0131n\u0131n Tan\u0131narak Kap\u0131 Kontrol\u00fcn\u00fcn Ger\u00e7ekle\u015ftirilmesi”, AK\u00dc Fen Bilimleri Dergisi, Cilt 10, Say\u0131 1., Sayfa 31-38.<\/li>\n<\/ol>\n

        Ulusal bilimsel toplant\u0131larda sunulan ve bildiri kitaplar\u0131nda bas\u0131lan bildiriler<\/strong><\/p>\n

          \n
        1. \u00c7EV\u0130K, K.K.,<\/strong>BO\u011eA, M., 2013 ,”Web Tabanl\u0131 Karma Yem Haz\u0131rlama Program\u0131 “, \u0130\u00e7 Anadolu B\u00f6lgesi 1. Tar\u0131m ve G\u0131da Kongresi, 02-04 Ekim 2013, Ni\u011fde\/T\u00dcRK\u0130YE.<\/li>\n
        2. BO\u011eA, M.,\u00a0\u00c7EV\u0130K, K.K.,\u00a0<\/strong>2013 ,”\u00c7iftlik Hayvanlar\u0131nda S\u00fct \u0130\u00e7irme Program\u0131”, Akademik Bili\u015fim 2013, 23-25 Ocak 2013, Antalya\/T\u00dcRK\u0130YE.<\/li>\n
        3. BO\u011eA, M.,\u00a0\u00c7EV\u0130K, K.K<\/strong>., 2012,”Ruminant Hayvanlar \u0130\u00e7in Karma Yem Haz\u0131rlama Program\u0131”, Akademik Bili\u015fim 2012 – U\u015fak \u00dcniversitesi, Sayfa 249-256.<\/li>\n<\/ol>\n

          Yaz\u0131lan uluslararas\u0131 kitaplardaki b\u00f6l\u00fcmler<\/strong><\/p>\n

            \n
          1. \u00c7EV\u0130K, K.K.,<\/strong> KO\u00c7ER, H.E., BO\u011eA, M., TA\u015e, S.M., 2023., Mask R-CNN Approach for Egg Segmentation and Egg Fertility Classification. In: Smart Applications with Advanced Machine Learning and Human-Centred Problem Design. ICAIAME 2021. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 1. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-09753-9_36<\/li>\n
          2. Artificial Intelligence forData-Driven Medical Diagnosis, B\u00f6lu\u0308m ad\u0131:(Detection of Breast Cancer Using Deep Neural Networks with Transfer Learning on Histopathological Images) (2021)., \u00c7EVIK K.K.,<\/strong> DANDIL E.,UZUN S., YILDIRIM M. S., SELVI A. O., Walter de Gruyter GmbH, Edit\u00f6r: Deepak Gupta, Utku Kose, Bao Le Nguyen, Siddhartha Bhattacharyya, Bas\u0131m say\u0131s\u0131:1, ISBN:9783110668322<\/li>\n
          3. Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning, B.lu\u0308m ad\u0131:(Heuristic Approach Performances for Artificial Neural Networks Training) (2021)., \u00c7EVIK K.K.,<\/strong> IGI Global Publications, Edit\u00f6r: Geeta Rani, Pradeep Kumar Tiwari, Bas\u0131m say\u0131s\u0131:1, ISBN:978-1-799-82742-9<\/li>\n
          4. Artificial Intelligence and Applied Mathematics in Engineering Problems, B\u00f6l\u00fcm ad\u0131:(Estimating Luminance Measurements in Road Lighting by Deep Learning Method) (2019)., KAYAKU\u015e M.,\u00a0\u00c7EV\u0130K K. K.,<\/strong> Springer Nature Publishing Group, Edit\u00f6r:D. Jude Hemanth, Utku Kose, Bas\u0131m say\u0131s\u0131:1, Sayfa Say\u0131s\u0131 8, ISBN:978-3-030-36177-8.<\/li>\n<\/ol>\n

            De\u011ferlendirme A\u015famas\u0131nda Bulunan Makaleler<\/strong><\/p>\n

              \n
            1. KUDUZ, H.\u00a0 CEVIK, K. K.<\/strong> (2026). Transformer-based Convolutional Neural Networks for Coronary Artery Stenosis Segmentation using X-Ray Angiography Data. Expert Systems With Applications<\/em> (Under Review).<\/li>\n
            2. KUDUZ, H., TONGU\u00c7, G., CEVIK, K. K.<\/strong> (2026). A Transformer-Based Semantic Approach to IoMT Applications: Integrating BERT Topic Modeling with Dimensionality Reduction. Electrica<\/em> (Under Review).<\/li>\n
            3. CEVIK, K. K.,<\/strong> KUDUZ, H. (2026). Thyro-YOLO: An Attention-Guided Real-Time Object Detection Framework for Thyroid Nodules in Ultrasound Images. (Journal Selection Phase).<\/li>\n
            4. CEVIK, K. K.,<\/strong> MORRIS, B. T., CLAMAN, B., MENEZES, J.\u00a0 (2026). Performance Comparison of Multi-modal Fusion Techniques in Tissue Perfusion Analysis Using Homography Calibration. (Journal Selection Phase).<\/li>\n
            5. CEVIK, K. K.,<\/strong> MORRIS, B. T., CLAMAN, B., MENEZES, J.\u00a0 (2026). Enhancing Tissue Perfusion Classification via Homography-Based Multimodal Alignment and Deep Fusion Learning. (In Preparation).<\/li>\n
            6. CEVIK, K. K.,<\/strong> BO\u011eA, M., DANDIL, E., TONGU\u00c7, G., Y\u00dcKSEL, H. U. \u00a0(2026). Computer Vision and Skeletal-Based Lameness Detection in Cattle. (In Preparation).<\/li>\n
            7. BAYINDIRLI C., CELIK M., CEVIK, K. K. <\/strong>(2026). X-NanoEngine: Explainable Machine Learning Approach for Engine Performance and Emission Prediction. (In Preparation).<\/li>\n
            8. CEVIK, K. K.<\/strong> (2026). Pre-Big Data Algorithms: A Comparative Analysis of the Nature-Based Heuristic Decision-Making Processes of the Y\u00f6r\u00fcks and the Logic of Artificial Intelligence. (Journal Selection Phase).<\/li>\n<\/ol>\n\n\n
              \"\"<\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"

              Google Scholar Uluslararas\u0131 hakemli dergilerde yay\u0131mlanan makaleler \u00c7EV\u0130K, K.K., 2025, Assessing the impact of distance education contents on learning success using machine learning, COGENT EDUCATION, 12(2), 2602264. Link KUPELI, H., KURU, I., \u00c7EV\u0130K, K.K., BOZKURT A., 2025, Angiography-Based Detection of … Okumaya devam et →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-14","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/pages\/14","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14"}],"version-history":[{"count":114,"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":535,"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions\/535"}],"wp:attachment":[{"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}