{"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":"2026-08-17T16:13:15","modified_gmt":"2026-08-17T13:13:15","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. CEVIK, K. K.,<\/strong> MORRIS, B. T., CLAMAN, B., MENEZES, J., 2026, Performance Comparison of Multi-modal Fusion Techniques in Tissue Perfusion Analysis Using Homography Calibration, Sensors, 26(14), 4585. Link<\/a>\u00a0<\/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, 26, 0060, 1-10. Link<\/a>\u00a0<\/li>\n
  3. \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
  4. 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
  5. \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
  6. 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
  7. 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
  8. 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
  9. \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
  10. \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
  11. \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
  12. 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
  13. \u00c7EVIK K.K.,<\/strong> 2020, Deep Learning Based Real-Time Body Condition Score Classification System. IEEE Access, 8: 213950-213957. Link<\/a><\/li>\n
  14. 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
  15. 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
  16. 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
  17. \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
  18. 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
  19. \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
  20. \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
  21. 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
  22. \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
  23. 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\n\n
            \"\"<\/a><\/figure>\n\n\n\n
            \"\"<\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"

            Google Scholar Uluslararas\u0131 hakemli dergilerde yay\u0131mlanan makaleler CEVIK, K. K., MORRIS, B. T., CLAMAN, B., MENEZES, J., 2026, Performance Comparison of Multi-modal Fusion Techniques in Tissue Perfusion Analysis Using Homography Calibration, Sensors, 26(14), 4585. Link\u00a0 KUDUZ, H., TONGU\u00c7, G., CEVIK, … 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":120,"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":565,"href":"https:\/\/www.kursatcevik.com\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions\/565"}],"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}]}}