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Prediction of Air Pollution by Machine Learning Methods
3rd International UNIDOKAP Black Sea Symposium Sustainable Agriculture and Environment, Tokat/TÜRKİYE, 21 Haziran 2019
BAŞAKIN EYYUP ENSAR, EKMEKCİOĞLU ÖMER, KARTAL ELİF, ÖZGER MEHMET
Ömer Ekmekcioğlu Özet Bildiri
Machine learning-based predictive models for equivalent damping ratio of RC shear walls
Springer Science and Business Media LLC, Vol. 21, Ocak 2023, ISSN: 1570-761X
YAGHOUBI SHARAREH, DEĞER ZEYNEP, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH
Gülşen Taşkın Kaya Özgün Makale
Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning
Journal of Construction Engineering and Management, Vol. 150, No. 1, Ekim 2023, ISSN: 0733-9364
KOÇ KERİM, BUDAYAN CENK, EKMEKCİOĞLU ÖMER, TOKDEMİR ONUR BEHZAT
Ömer Ekmekcioğlu Özgün Makale
Comparative study of evolutionary machine learning approaches to simulate the rheological characteristics of polybutylene succinate (PBS) utilized for fused deposition modeling (FDM)
Polymer Bulletin, Vol. 81, Aralık 2024, s. 8663-8683, ISSN: 0170-0839
TAYLAN OSMAN,ABDULLAH TURDİMUHAMMAD,BAİK SHEFAA,YILMAZ MUSTAFA TAHSİN,ALİDRİSİ HASSAN M.,QURBAN RAYYAN O.,MELAİBARİ AMMAR ABDULGHANİ,MEMİĆ ADNAN
Osman Taylan Özgün Makale
Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning
Oral Radiology, Vol. 40, Nisan 2024, s. 415-423, ISSN: 0911-6028
PERTEK HANİFE,KAMAŞAK MUSTAFA ERSEL,KOTAN SONER,PERTEK HATİPOĞLU FATMA,HATİPOĞLU ÖMER,KÖSE TAHA EMRE
Mustafa Ersel Kamaşak Özgün Makale
Optimal band selection using explainable artificial intelligence for machine learning-based hyperspectral image classification
Journal of Applied Remote Sensing, Vol. 18, No. 4, Temmuz 2024, ISSN: 1931-3195
ATİK ŞAZİYE ÖZGE,ATİK MUHAMMED ENES
Muhammed Enes Atik Özgün Makale
Machine learning approaches to quantitatively predict selectivity of compounds against HDAC1 and HDAC6 isoforms
8th International Bau Drug Design Congress: Novel Methods and Emerging Targets in Drug Discovery & Patented Drug Development, İstanbul/TÜRKİYE, 15 Aralık 2022
DOĞAN BERNA
A machine learning-based prediction model for architectural heritage: The case of domed Sinan mosques
Digital Applications in Archaeology and Cultural Heritage, Vol. 35, Aralık 2024, s. 1-9, ISSN: 2212-0548
GÜZELCİ ORKAN ZEYNEL,ALAÇAM SEMA,BEKİROĞLU BAVER,KARADAĞ İLKER
Sema Alaçam Özgün Makale
Assessment of soil salinity using explainable machine learning methods and Landsat 8 images
International Journal of Applied Earth Observation and Geoinformation, Vol. 130, Haziran 2024, ISSN: 1569-8432
AKSOY SAMET,SERTEL ELİF,ROSCHER RIBANA,TANIK AYŞE GÜL,HAMZEHPOUR NIKOU
Elif Sertel Özgün Makale
Using deep/machine learning to identify patterns and detecting misinformation for pandemics in the post-COVID-19 era Machine Learning in Medical Imaging and Computer Vision
LONDRA/İNGİLTERE, 2024, s. 313-334, Institution of Engineering and Technology
NAEEM JAVARIA,GÜL ÖMER MELİH
Ömer Melih Gül Bilimsel KitapKitap Bölümü
Computer-aided diagnosis in maritime healthcare: review of spinal hernia Machine Learning in Medical Imaging and Computer Vision
LONDRA/İNGİLTERE, 2024, s. 95-115, Institution of Engineering and Technology
PARLAK İSMAİL BURAK,USLUER HASAN BORA,GÜL ÖMER MELİH
Ömer Melih Gül Bilimsel KitapKitap Bölümü
Improving somatic exome sequencing performance by biological replicates
BMC BIOINFORMATICS, Vol. 25, No. 1, Ocak 2024, s. 19, ISSN: 1471-2105
CEBECİ YUNUS EMRE,ERTÜRK RUMEYSA ASLIHAN,ERGUN MEHMET ARİF,BAYSAN MEHMET
Forecasting surface movements based on PSI time series using machine learning algorithms
International Journal of Remote Sensing, Vol. 45, Mart 2024, ISSN: 0143-1161
YAĞMUR AYDIN NUR,TAŞKIN KAYA GÜLŞEN,MUSAOĞLU NEBİYE,ERTEN ESRA
Esra Erten Özgün Makale
Machine Learning-Based Framework for Failure Forecast and Shear Strength Estimation of Non-Conforming RC Shear Walls
Journal of Earthquake Engineering, Vol. 28, Nisan 2024, ISSN: 1363-2469
TAN MEHMET,TAŞKIN KAYA GÜLŞEN,DEĞER ZEYNEP
Gülşen Taşkın Kaya Özgün Makale
Detection of Misinformation Related to Pandemic Diseases using Machine Learning Techniques in Social Media Platforms
EAI Endorsed Transactions on Pervasive Health and Technology, Vol. 10, Haziran 2024, s. 1-20, ISSN: 2411-7145
NAEEM JAVARIA,GÜL ÖMER MELİH,PARLAK İSMAİL BURAK,KARPOUZIS KOSTAS,SALMAN YÜCEL BATU,KADRY SEIFEDINE
Ömer Melih Gül Özgün Makale
Localizing structural damage based on auto-regressive with exogenous input model parameters and residuals using a support vector machine based learning approach
Frontiers of Structural and Civil Engineering, Vol. 18, No. 10, Ekim 2024, s. 1492-1506, ISSN: 2095-2430
GÜNEŞ BURCU
Burcu Güneş Özgün Makale
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
ICMLT '24 9th International Conference on Machine Learning Technologies, 24 Mayıs 2024
ÖZTÜRK SÜMEYYE,ERCAN AHMET BURAK,TUGAY RESUL,ÖĞÜDÜCÜ ŞULE
Şule Öğüdücü Tam metin bildiri
Predicting the rates of photocatalytic hydrogen evolution over cocatalyst-deposited TiO2 using machine learning with active photon flux as a unifying feature
EES Catalysis, Vol. 2, Ocak 2024, s. 612-623, ISSN: 2753-801X
HAGHSHENAS YOUSOF,WONG WEİ PİNG,GUNAWAN DENNY,KHATAEE ALIREZA,KEYİKOĞLU RAMAZAN,RAZMJOU AMİR,KUMAR PRİYANK VİJAYA,TOE CUİ YİNG,MASOOD HASSAN,AMAL ROSE,SETHU VİDHYASAHARAN,TEOH WEY YANG
Ramazan Keyikoğlu Özgün Makale
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius/LİTVANYA, 9 Eylül 2024
KAYA ÜNAL KIYMET,TUGAY RESUL,ÖĞÜDÜCÜ ŞULE
Kıymet Kaya Ünal Tam metin bildiri
Imbalanced generative sampling of training data for improving quality of machine learning model
Advanced Engineering Informatics, Vol. 62, Ekim 2024, s. 102631, ISSN: 1474-0346
COŞKUN UMUT CAN,DOĞAN KEMAL MERT,GÜNPINAR ERKAN
Erkan Günpınar Özgün Makale CAD

İLETİŞİM BİLGİLERİ

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