Machine learning-based estimation of energy dissipation capacity of RC shear walls
Structures, Vol. 45, Ocak 2022, s. 343-352, ISSN: 2352-0124
TOPALOĞLU BERKAY, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH, DEĞER ZEYNEP
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Investigation of Influential Parameters on Energy Dissipation Capacity of RC Shear Walls Based on Machine Learning Methods
6th International Earthquake Engineering and Seismology Conference – 6ICEES, Kocaeli/TÜRKİYE, 13 Ekim 2021
TOPALOĞLU BERKAY, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH, DEĞER ZEYNEP
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Machine learning-based predictive models for equivalent damping ratio of RC shear walls
BULLETIN OF EARTHQUAKE ENGINEERING, Vol. 21, Ocak 2023, s. 293-318, ISSN: 1570-761X
TAHAEİ YAGHOUBİ SİAMAK, DEĞER ZEYNEP, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH
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INVESTIGATION OF INFLUENTIAL PARAMETERS ON ENERGY DISSIPATION CAPACITY OF RC SHEAR WALLS BASED ON MACHINE LEARNING METHODS
6. International Earthquake Engineering and Seismology Conference, 3 Ekim 2021
TOPALOĞLU BERKAY, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH, DEĞER ZEYNEP
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Empirical Equations for Shear Strength of Conventional Reinforced Concrete Shear Walls
ACI STRUCTURAL JOURNAL, Vol. 118, No. 2, Ocak 2021, ISSN: 0889-3241
DEĞER ZEYNEP, BAŞDOĞAN ÇAĞRI
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A Comparative Research of Machine Learning Impact to Future of Maritime Transportation
Procedia Computer Science, Vol. 158, Eylül 2019, s. 275-280, ISSN: 1877-0509
AKYÜZ EMRE,ÇİÇEK KADİR,ÇELİK METİN
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Energy, exergy and emission performance prediction of the hydrogen-fueled scimitar engine with machine learning methods
11th Global Conference on Global Warming (GCGW-2023), İstanbul/TÜRKİYE, 14 Haziran 2023, s. 260-263
TANBAY TAYFUN, DURMAYAZ AHMET
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Machine learning-based compressive strength estimation in nano silica-modified concrete
Construction and Building Materials, Vol. 408, Aralık 2023, ISSN: 0950-0618
MAHERIAN MAHSA FARSHBAF,BARAN ŞERVAN,BIÇAKÇI SİDAR NİHAT,TÖREYİN UĞUR BEHÇET,ATAHAN HAKAN NURİ
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Risk assessment of atmospheric emissions using machine learning
Natural Hazards and Earth System Sciences, Vol. 8, Ocak 2008, s. 991-1000, ISSN: 1561-8633
CERVONE GUİDO,FRANZESE PASQUALE,EZBER YASEMİN,BOYBEYİ ZAFER
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MACHINE VISION BOBBIN ANALYSIS SYSTEM WITH DEEP LEARNING APPROACH
3rd International Congress of Innovative Textiles (ICONTEX 2022), 18 Mayıs 2022
EMEKDAR ELÇİN, AÇIKGÖZ TUFAN HATİCE, ŞAHİN UMUT KIVANÇ, KURŞUN BAHADIR SENEM, AYATA KONUKOĞLU SEVAL, CANSU BATÇIK, BAYTAN T.K., ÇATAK E., ŞENTÜRK Ç.D.
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Probabilistic dynamic security assessment of large power systems using machine learning algorithms
Turkish Journal of Electrical Engineering & Computer Sciences, 2018
S. JAFARZADEH, V. M. I. GENC
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Benchmark of machine learning algorithms on transient stability prediction in renewable rich power grids under cyber-attacks
Internet of Things, Vol. 25, Nisan 2024, ISSN: 2542-6605
AYGÜL KEMAL,MOHAMMADPOURFARD MOSTAFA,KESİCİ MERT,KÜÇÜKTEZCAN CAVİT FATİH,GENÇ VEYSEL MURAT İSTEMİHAN
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Wide Area Measurement-based Transient Stability Prediction using Long Short-Term Memory Networks
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 159
SANER CAN BERK,KESİCİ MERT,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 184-188
KESİCİ MERT,SANER CAN BERK,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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Probabilistic dynamic security assessment of large power systems using machine learning algorithms
Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 26, No. 3, Mayıs 2018, s. 1479-1490, ISSN: 1300-0632
JAFARZADEH SEVDA,GENÇ VEYSEL MURAT İSTEMİHAN
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Demand Forecasting in Pharmaceutical Industry Under Covid-19 Pandemic Conditions by Machine Learning and Time Series Analysis
INFUS 2023- International Conference on Intelligent and Fuzzy Systems, İstanbul/TÜRKİYE, Vol. 759, 22 Ağustos 2023, s. 157-165
TAŞ İREM, SATOĞLU ŞULE ITIR
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Comparison of conventional and machine learning regression models for accurate prediction of selected optical active components – A case study: The Gulf of Izmit
Marine Pollution Bulletin, Vol. 208, Kasım 2024, s. 1-16, ISSN: 0025-326X
SUNAR AYŞE FİLİZ,DERVİŞOĞLU ADALET,YAĞMUR AYDIN NUR,ATABAY HAKAN,DÖNERTAŞ ASLI
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In-plane and out-of-plane bending moments and local stresses in mooring chain links using machine learning technique
International Journal of Naval Architecture and Ocean Engineering, Vol. 13, Ocak 2021, ISSN: 2092-6782
TAYYAR GÖKHAN TANSEL, CHOUNG JOONMO, LEE JAE-BİN
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Customer Churn Prediction in FMCG Sector Using Machine Learning Applications
AI4KM: 8th IFIP WG, Advances in Information and Communication Technology, Yokohama/JAPONYA, Vol. 614, 7 Ocak 2021
GÜNESEN S. NAZLI, ŞEN NECİP, YILDIRIM NİHAN, KAYA TOLGA
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Customer Churn Prediction in FMCG Sector Using Machine Learning Application
8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021 held in conjunction with International Joint Conference on Artificial Intelligence, IJCAI 2020,, Yokohama/JAPONYA, Vol. 1, No. 1, 7 Ocak 2021
GÜNESEN S. NAZLI, ŞEN NECİP, YILDIRIM NİHAN, KAYA TOLGA
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