Editorial: Uncertainty quantification in characterization, modelling, and design of materials
Frontiers in Materials, Vol. 9, Aralık 2022, ISSN: 22968016
ACAR PİNAR, TRAN ANH, NİKBAY MELİKE, MAHADEVAN SANKARAN
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Uncertainty quantification of multi-source hydrological data products for the improvement of water budget estimations in small-scale Sakarya basin, Turkey
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, Vol. 67, No. 10, Haziran 2022, s. 1609-1622, ISSN: 0262-6667
KAYAN GÖKHAN, TÜRKER UMUT, ERTEN ESRA
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Attitude Determination and Uncertainty Analysis in Eclipse of Small LEO Satellites
SIAM Conference on Uncertainty Quantification, 5 Nisan 2016
ÇİLDEN GÜLER DEMET,HACIZADE CENGİZ
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Fuzzy Logic Strikes Back: Fuzzy ODEs for Dynamic Modeling and Uncertainty Quantification
IEEE Transactions on Artificial Intelligence, Vol. 6, Ekim 2025, ISSN: ISSN 2691-4581
GÜVEN YUSUF,KUMBASAR TUFAN
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Multi-Fidelity Low-Rank Approximations for Uncertainty Quantification of a Supersonic Aircraft Design
Algorithms, Temmuz 2022, ISSN: 1999-4893
YILDIZ ŞIHMEHMET, PEHLİVAN SOLAK HAYRİYE, NİKBAY MELİKE
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Implementation of Multidisciplinary Multi-Fidelity Uncertainty Quantification Methods in Sonic Boom Prediction
AIAA AVIATION 2021 FORUM, 6 Ağustos 2021
TEKASLAN HÜSEYİN EMRE, YILDIZ ŞIHMEHMET, DEMİROĞLU YUSUF, NİKBAY MELİKE
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Implementation of Multidisciplinary and Multifidelity Uncertainty Quantification Methods for Sonic Boom Prediction
Journal of Aircraft, Mart 2023, ISSN: 1533-3868
TEKASLAN HÜSEYİN EMRE, YILDIZ ŞIHMEHMET, DEMİROĞLU YUSUF, NİKBAY MELİKE
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Aeroelastic Uncertainty Quantification Studies Using the S4T Wind Tunnel Model
AIAA Scitech, Dallas/AMERİKA BİRLEŞİK DEVLETLERİ, 9 Ocak 2017
NİKBAY MELİKE,HEEG JENNİFER
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Quantification of Uncertainty in NONROAD Emissions for the State of Georgia
International Emission Inventory Conference,2004
CHİ T ROSA,ÜNAL ALPER,TİAN Dİ,ARMİSTEAD G RUSSELL
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Exploring Zadehs General Type-2 Fuzzy Logic Systems for Uncertainty Quantification
IEEE Transactions on Fuzzy Systems, Vol. 33, Ocak 2025, ISSN: 1063-6706
GÜVEN YUSUF,KÖKLÜ ATA,KUMBASAR TUFAN
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Quantification of the impact of uncertainty in emissions on air quality model estimates
AVRASYA YER BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2020
ÜMMÜGÜLSÜM ALYÜZ ÖZDEMİR
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Learning general type-2 fuzzy logic systems for uncertainty quantification
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
YUSUF GÜVEN
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A unified deep learning framework for scalable learning and uncertainty quantification in interval Type-2 fuzzy logic systems
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
ATA KÖKLÜ
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QUANTIFICATION OF UNCERTAINTY DUE TO SPATIO-TEMPORAL VARIABILITY IN ATMOSPHERIC CHEMISTRY MODELS
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
FULYA ÇİNGİROĞLU
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INTERVAL NEURAL NETWORKS FOR UNCERTAINTY QUANTIFICATION IN SYSTEM IDENTIFICATION
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
MEHMET ALİ FERAH
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A fuzzy logic framework to handle uncertainty in remote sensing-based hydrological data for water budget improvement across mid- and small-scale basins
HYDROLOGICAL PROCESSES, Vol. 36, No. 11, Kasım 2022, ISSN: 0885-6087
KAYAN GÖKHAN, TÜRKER UMUT, ERTEN ESRA
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Implementation of Multidisciplinary and Multifidelity Uncertainty Quantification Methods for Sonic Boom Prediction
American Institute of Aeronautics and Astronautics (AIAA) Journal of Aircraft, Vol. 60, No. 2, Mart 2023, s. 410-422, ISSN: 0021-8669
TEKASLAN HÜSEYİN EMRE, YILDIZ ŞIHMEHMET, DEMİROGLU YUSUF, NİKBAY MELİKE
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Implementation of Multidisciplinary Multi- Fidelity Uncertainty Quantification Methods in Sonic Boom Prediction
AIAA Aviation Forum and Exposition, Virtual/AMERİKA BİRLEŞİK DEVLETLERİ, 2 Ağustos 2021
TEKASLAN HÜSEYİN EMRE, YILDIZ ŞIHMEHMET, DEMİROGLU YUSUF, NİKBAY MELİKE
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Multi-Fidelity Low-Rank Approximations for Uncertainty Quantification of a Supersonic Aircraft Design
MDPI Algorithms, Vol. 15, No. 7, Temmuz 2022, ISSN: 1999-4893
YILDIZ ŞIHMEHMET, PEHLİVAN SOLAK HAYRİYE, NİKBAY MELİKE
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Uncertainty Quantification of Aeroelastic Systems Using an Active Learning Gaussian Process
AeroBest 2021, An Eccomas Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems, Lisbon (Virtual)/PORTEKİZ, 21 Temmuz 2021
YILDIZ ŞIHMEHMET, ÇAKMAK ENES, KARA EMRE, NİKBAY MELİKE
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