يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '"Kocamaz, A. F."', وقت الاستعلام: 0.31s تنقيح النتائج
  1. 1
    Academic Journal
    A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces

    المؤلفون: Comert, Z., Sengur, A., Akbulut, Y., Budak, U., Kocamaz, A. F., Gungor, S.

    المصدر: IRBM 40(5) 286-296

    Relation: https://aperta.ulakbim.gov.tr/record/72577; oai:zenodo.org:72577

    الاتاحة: https://aperta.ulakbim.gov.tr/record/72577

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  2. 2
    Conference
    Correlation of corpus callosum index and optic coherence tomography findings in MS patients with or without optic nerve involvement

    المؤلفون: Ozer, P., Sayin, R., Sanhal, E., Atac, G. K., Kocamaz, M. F.

    Relation: Multiple Sclerosis Journal; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.14065/2660; 25; 644; WOS:000485303102370

    الاتاحة: https://hdl.handle.net/20.500.14065/2660

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  3. 3
    Academic Journal
    Evaluation of Long-Term Corneal Morphology After Photorefractive Keratectomy by In Vivo Confocal Microscopy and Specular Microscopy; 20-Year Follow-Up

    المؤلفون: Ozdemir, HÜSEYİN BARAN, Bilgihan, Kamil, Ozdogan, Sibel, Kocamaz, Mehmet F., Yesilirmak, Nilufer, Tefon, Atike B., Altay, Yesim, Gurelik, Gokhan

    Relation: e762fad2-afcb-46c5-bd1b-abf93aa296b7; https://avesis.gazi.edu.tr/publication/details/e762fad2-afcb-46c5-bd1b-abf93aa296b7/oai

    الاتاحة: https://doi.org/10.1097/icl.0000000000000585
    https://avesis.gazi.edu.tr/publication/details/e762fad2-afcb-46c5-bd1b-abf93aa296b7/oai

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  4. 4
    Academic Journal
    Evaluation of Long-Term Corneal Morphology After Photorefractive Keratectomy by In Vivo Confocal Microscopy and Specular Microscopy; 20-Year Follow-Up.

    المؤلفون: Bilgihan, Kamil, Yesilirmak, Nilufer, Altay, Yesim, Tefon, Atike B., Ozdemir, Huseyin B., Ozdogan, Sibel, Kocamaz, Mehmet F., Gurelik, Gokhan

    المصدر: Eye & Contact Lens: Science & Clinical Practice; Nov2019, Vol. 45 Issue 6, p360-364, 5p


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  5. 5
    Academic Journal
    Comparison of Machine Learning Techniques for Fetal Heart Rate Classification.

    المؤلفون: CÖMERT, Z.1 comertzafer@gmail.com, KOCAMAZ, A. F.2

    المصدر: Acta Physica Polonica: A. 2017, Vol. 132 Issue 3, p451-454. 4p.

    مصطلحات موضوعية: *FETAL heart rate monitoring, *MACHINE learning, *INTRAPARTUM care, *SUPPORT vector machines, *ARTIFICIAL neural networks

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