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Data-driven modeling of ultimate load capacity of closed- and open-ended piles using machine learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
EMİRHAN ALTINOK
Mehmet Barış Can Ülker Tez Yüksek Lisans Tamamlandı
Modeling of the lateral load resistance of masonry infilled frames with innovative steel ties
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2016
MIRSALAR KAMARI
Oğuz Güneş Tez Yüksek Lisans Tamamlandı
Arc-based modeling, condition monitoring and failure detection of on-load tap-changers
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
BEHNAM FEIZIFAR
Ömer Usta Tez Doktora Tamamlandı
Modeling and Analysis of Container-Type Ship’s Marine Propeller for Engine Load Conditions
Journal of ETA Maritime Science, Vol. 11, No. 1, Mart 2023, s. 14-27, ISSN: 2148-9386
ÇİÇEK İSMAİL, YILMAZ NAZ
Plastic-Damage Modeling of Unreinforced Masonry Walls (URM) Subject to Lateral Loading
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, Vol. 42, No. 9, 2017, s. 4201-4220, ISSN: 2193-567X
ALGOHİ BASHEER H.,BALUCH MOHAMMED H.,RAHMAN MUHAMMAD K.,AL-GADHİB ALİ H.,DEMİR CEM
3D FE Modeling of Multi-Span Stone Masonry Arch Bridges for the Assessment of Load Carrying Capacity: The Case of Justinian’s Bridge
12th International Conference on Structural Analysis of Historical Constructions, 29 Eylül 2021
MENTEŞE VİLDAN GİZEM, ÇELİK OĞUZ CEM
Oğuz Cem Çelik Tam metin bildiri
Modeling and Predicting Passenger Load Factor in Air Transportation: A Deep Assessment Methodology with Fractional Calculus Approach Utilizing Reservation Data
Fractal and Fractional, Vol. 8, No. 4, Nisan 2024, s. 1-19, ISSN: 2504-3110
ŞİMŞEK KEVSER,ÖNAL TUĞRUL NİSA ÖZGE,KARAÇUHA KAMİL,TABATADZE VASIL,KARAÇUHA ERTUĞRUL
Kamil Karaçuha Özgün Makale
Variable Voxel Computing Method - Innovative Approaches to Reduce the Computing Load in Voxel-based Solid Modeling and New Representation Methods
eCAADe 2020 Anthropologic Architecture and Fabrication in the cognitive age, BERLIN/ALMANYA, Vol. 1, 16 Eylül 2020, s. 663-671, ISSN: 2684-1843
YALÇINKAYA SEZGİ, DELİKANLI BURAK
A Modeling Study on the Lateral Load Capacity of Steel Fiber Concrete Piles
Seventh International Congress on Advances in Civil Engineering, İstanbul/TÜRKİYE, 11 Ekim 2006
AKDAĞ CİHAN TAYLAN,ÖZDEN GÜRKAN,MISIR İBRAHİM SERKAN
An Adaptive Offloading Decision Scheme in Two-Class Mobile Edge Computing Systems
2018 41st International Conference on Telecommunications and Signal Processing (TSP), 4 Temmuz 2018
ALJOBORY KAHLAN,YAZICI MEHMET AKİF
Modeling bed load transport of coarse sediments in the Great Bay Estuary New Hampshire
Estuarine, Coastal and Shelf Science, Vol. 58, No. 4, Aralık 2003, s. 937-950, ISSN: 02727714
BİLGİLİ A., SWİFT M.R., LYNCH D.R., IP J.T.C.
Ata Bilgili Özgün Makale
Numerical modeling of the effect of loading rate on the tensile load capacity of offshore caisson foundations
OCEAN ENGINEERING, Vol. 284, Ocak 2023, s. 16, ISSN: 0029-8018
AYYILMAZ BURAK, ÜLKER MEHMET BARIŞ CAN, GALAVİ VAHİD, BARARİ AMİN
Mehmet Barış Can Ülker Özgün Makale
Modeling tidal flow in the Great Bay Estuary New Hampshire using a depth averaged flooding dewatering model with application to the bed load transport of coarse sediments
3rd International Conference on the Advances in Fluid Mechanics, Montreal/KANADA, 24 Mayıs 2000, s. 569-581, ISSN: 1353-808X
BİLGİLİ ATA,IP JTC,SWIFT MR,ERTÜRK ŞAFAK NUR,LYNCH DR,ÇELİKKOL B,BROWN WS
Data-driven modeling of ultimate load capacity of closed- and open-ended piles using machine learning
INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING, Vol. 17, No. 4, Ocak 2023, s. 15-407, ISSN: 1938-6362
ÜLKER MEHMET BARIŞ CAN, ALTINOK EMİRHAN, TAŞKIN KAYA GÜLŞEN
Mehmet Barış Can Ülker Özgün Makale
Data-driven modeling of ultimate load capacity of closed- and open-ended piles using machine learning
Informa UK Limited, Vol. 17, Nisan 2023, ISSN: 1938-6362
ÜLKER MEHMET BARIŞ CAN, ALTINOK EMİRHAN, TAŞKIN KAYA GÜLŞEN
Gülşen Taşkın Kaya Özgün Makale

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930