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Toplam 4 adet sonuçtan 4 tanesi görüntülenmektedir.

Opening Keynote: Leveraging Multi-Fidelity Surrogates For Advanced Computational Design And Multidisciplinary Design Optimization In Aerospace Engineering

AeroBest 2025, III ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems, Lizbon/PORTEKİZ, 22 Nisan 2025

NİKBAY MELİKE

Melike Nikbay Özet Bildiri SurrogatesMulti-Fidelity

Physics-informed learning of interpretable surrogates for modeling and control

LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026

MURAT FURKAN MANSUR

Tufan Kumbasar Tez Yüksek Lisans Tamamlandı

Heat and mass transfer in blood-based ternary nanofluid flow through a porous tumour channel under local thermal non-equilibrium and chemical reaction: Physics-consistent machine-learning surrogates

Results in Engineering, Vol. 32, No. 111930, Temmuz 2026, s. 1-33, ISSN: 2590-1230

ÇİÇEK OKTAY,TÜRKOĞLU MURAT METEHAN,BAYTAŞ AHMET CİHAT

Oktay Çiçek Özgün Makale Blood-based ternary nanofluid MHD porous channel flow Arrhenius activation energy Entropy generation Machine learning surrogate

Deliver the content over multiple surrogates: A request routing model for high bandwidth requests

Elsevier Computer Communications, Vol. 146, Ekim 2019, s. 39-47, ISSN: 0140-3664

BİLEN TUĞÇE,CANBERK BERK

Tuğçe Bilen Özgün Makale

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