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Özel Aralık Girişi
Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, Vol. 19, No. 5, Ocak 2020, ISSN: 1475-9217
KHANİ MAHTAB MOHTASHAM, VAHİDNİA SAHAND, GHASEMZADEH LEİLA, YUVALAKLİOGLU MUSTAFA, OZTURK EREN, AKIN SELİM, ÜRE NAZIM KEMAL
Nazım Kemal Üre Özgün Makale Convolutional neural network CNN image processing crack detection gas turbine machine learning deep learning classification computer vision structural health monitoring
Deep learning based crack detection with applications to structural health monitoring
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
MAHTAB MOHTASHAM KHANI
Nazım Kemal Üre Tez Yüksek Lisans Tamamlandı
Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines
Structural Health Monitoring, Kasım 2019, ISSN: 1475-9217
MOHTASHAM KHANİ MAHTAB,VAHİDNİA SAHAND,GHASEMZADEH LEİLA,OZTURK Y EREN,YUVALAKLİOGLU MUSTAFA,AKİN SELİM,ÜRE NAZIM KEMAL
Nazım Kemal Üre Özgün Makale
Exact solution based finite element formulation of cracked beams for crack detection
International Journal of Solids and Structures, Vol. 96, Ekim 2016, s. 240-253, ISSN: 00207683
EROĞLU UĞURCAN,TÜFEKCİ EKREM
Uğurcan Eroğlu Özgün Makale
Exact solution based finite element formulation of cracked beams for crack detection
International Journal of Solids and Structures, Vol. 96, Ekim 2016, s. 240-253, ISSN: 00207683
EROĞLU UĞURCAN,TÜFEKCİ EKREM
Ekrem Tüfekci Özgün Makale

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