Arama Sonuçları - "1343"
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Açık kanal akımlarının hidroliği ve hidrolik yapılar /
Baskı/Yayın Bilgisi 2009Konular: OPAC'ta görüntüle
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Işık doğudan gelir : (ex Oriente lux) /
Baskı/Yayın Bilgisi 2012“…İletişim yayınları ; 1343. Bütün eserleri/Cemil Meriç ; 11…”
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Gemi dizel motorları arızalar ve nedenleri /
Baskı/Yayın Bilgisi 2008“…Nobel Yayın No :1343. İstanbul Teknik Üniversitesi Dizi Nu : 4.…”
OPAC'ta görüntüle
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Gemi dizel motorları arızalar ve nedenleri : (ilk hareket, emme ve egzoz sistemi )
Baskı/Yayın Bilgisi 2021OPAC'ta görüntüle
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Handbook of Peridynamic Modeling.
Baskı/Yayın Bilgisi 2016İçindekiler: “…12.6 Appendix A: PD material constants of a lamina -- 12.6.1 Simple shear -- 12.6.2 Uniaxial stretch in the fiber direction -- 12.6.3 Uniaxial stretch in the transverse direction -- 12.6.4 Biaxial stretch -- 12.7 Appendix B: Surface correction factors for a composite lamina -- 12.8 Appendix C: PD interlayer and shear bond constants of a laminate -- 12.9 Appendix D: Critical Stretch Values for Bond Constants -- References -- 13 Peridynamic Modeling of Impact and Fragmentation -- 13.1 Introduction -- 13.2 Convergence studies and damage models that influence the damage behavior -- 13.2.1 Damage-dependent critical bond strain -- 13.2.2 Critical bond strain dependence on compressive strains along other directions -- 13.2.3 Surface effect in impact problems -- 13.2.4 Convergence study for impact on a glass plate -- 13.3 Impact on a multilayered glass system -- 13.3.1 Model description -- 13.3.2 A comparison between FEM and peridynamics for the elastic response of a multilayered system to impact -- 13.4 Computational results for damage progression in the seven-layer glass system -- 13.4.1 Damage evolution for the cross section -- 13.4.2 Damage evolution in the first layer -- 13.4.3 Damage evolution in the second layer -- 13.4.4 Damage evolution in the fourth layer -- 13.4.5 Damage evolution in the seventh layer -- 13.5 Conclusions -- References -- V: Multiphysics and Multiscale Modeling -- 14 Coupling Local and Nonlocal Models -- 14.1 Introduction -- 14.2 Energy-based blending schemes -- 14.2.1 The Arlequin method -- 14.2.1.1 Description of the coupling model -- 14.2.1.2 A numerical example -- 14.2.2 The morphing method -- 14.2.2.1 Overview -- 14.2.2.2 Description of the morphing method -- 14.2.2.3 One-dimensional analysis of ghost forces -- 14.2.2.4 Numerical examples -- 14.3 Force-based blending schemes*.…”
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Deep Learning-Based Face Analytics.
Baskı/Yayın Bilgisi 2021İçindekiler: “…10.5.1 Training Details -- 10.5.2 Methods for Evaluation -- 10.5.3 Results on IJB-A Dataset -- 10.5.4 Results on YouTube Face dataset -- 10.5.5 Results on Celebrity-1000 Dataset -- 10.6 Conclusions -- References -- 11 Thermal-to-Visible Face Synthesis and Recognition -- 11.1 The Infrared Spectrum -- 11.2 GAN-Based Synthesis of Visible Faces From Thermal Faces -- 11.2.1 Generative Adversarial Networks (GANs) -- 11.2.2 GAN-Based Synthesis Network -- 11.3 Synthesis of High-Quality Visible Faces From Polarimetric Thermal Faces Using GANs -- 11.4 Thermal-to-Visible Face Verification Via Attribute-Preserved Synthesis -- 11.5 Self-attention Guided Synthesis -- 11.6 Conclusion -- References -- 12 Obstructing DeepFakes by Disrupting Face Detection and Facial Landmarks Extraction -- 12.1 Introduction -- 12.2 Background and Related Works -- 12.3 Attacking Face Detectors -- 12.3.1 White-Box Adversarial Perturbation Generation -- 12.3.2 Gray-Box Adversarial Perturbation Generation -- 12.3.3 Black-Box Adversarial Perturbation Generation -- 12.4 Attacking Facial Landmark Extractors -- 12.5 Experiments -- 12.5.1 Attacking Face Detection -- 12.5.2 Attacking Landmark Extractors -- 12.6 Conclusion -- References -- 13 Multi-channel Face Presentation Attack Detection Using Deep Learning -- 13.1 Introduction -- 13.2 Related Work -- 13.2.1 Feature-Based Approaches for Face PAD -- 13.2.2 CNN-Based Approaches for Face PAD -- 13.2.3 One-Class Models for Face PAD -- 13.2.4 Multi-channel-Based Approaches for Face PAD -- 13.2.5 Challenges in PAD -- 13.3 Proposed Method -- 13.3.1 Preprocessing -- 13.3.2 Network Architecture -- 13.3.3 One-Class Contrastive Loss (OCCL) -- 13.3.4 Implementation Details -- 13.4 Experiments -- 13.4.1 WMCA Dataset -- 13.4.2 MLFP Dataset -- 13.4.3 SiW-M Dataset -- 13.4.4 Evaluation Metrics -- 13.4.5 Baselines.…”
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