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Toplam 195 adet sonuçtan 20 tanesi görüntülenmektedir.

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A New Look at Well to Well Correlations using Nonparametric Nonlinear Regression
Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, California, Stanford/AMERİKA BİRLEŞİK DEVLETLERİ, 31 Ocak 2013
KORKMAZ BAŞEL EMİNE DİDEM,JULİUSSON EGİLL,ROLAND N HORNE
Emine Didem Korkmaz Başel Tam metin bildiri
An investigation on the estimation of the impact factors of pandemic deaths with artificial neural network and multiple regression algorithms: Covid-19 case
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi, Ocak 2024, ISSN: 1304-7205
DEMİR İBRAHİM,SARI MURAT,GÜLEN SEDA,BALACESCU ANİELA
Murat Sarı Özgün Makale
State-of-Charge Estimation of Li-ion Battery Cell using Support Vector Regression and Gradient Boosting Techniques
2019 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) 2019 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), Istanbul, Turkey/TÜRKİYE, 27 Ağustos 2019, ISSN: 1842-0133
İPEK EYMEN,EREN KEREM,YILMAZ MURAT
Murat Yılmaz Tam metin bildiri
Prediction of global solar radiation using support vector regression
10. Uluslararası Temiz Enerji Sempozyumu, 24 Ekim 2016
KOÇAK KASIM,BAYDAROĞLU ÖZLEM,ŞAYLAN LEVENT,YEŞİLKÖY SERHAN
Kasım Koçak Tam metin bildiri
Modeling of Quadruple Tank System Using Support Vector Regression
INISTA 2011, International Symposium on Innovations in Intelligent Systems and Applications, Istanbul, Turkey, 15 Haziran 2011
UÇAK KEMAL,ÖKE GÜNEL GÜLAY
Gülay Öke Günel Tam metin bildiri
Türkiye's Renewable Energy Outlook: GCM-Based Analysis and Future Projections Using the Extreme Gradient Boosting Algorithm
The General Assembly 2024 of the European Geosciences Union (EGU), Viyana/AVUSTURYA, 14 Nisan 2024
GÜVEN DENİZHAN,ŞEN ÖMER LÜTFİ,KAYALICA MEHMET ÖZGÜR
Forecasting Of Soil Water Content Using Support Vector Regression Method For Agricultural Drought
American Meteorological Society (AMS) 27th Conference on Weather Analysis and Forecasting, 29 Haziran 2015
ASLAN TOPRAK,BAYDAROĞLU ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
Kasım Koçak Poster
Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic Regression Analysis
ISPRS International Journal of Geo-Information, Vol. 9, No. 10, Ekim 2020, s. 589, ISSN: ****-****
ÖZTÜRK HACAR ÖZGE,GÜLGEN FATİH,BİLGİ SERDAR
Serdar Bilgi Özgün Makale
Total ozone over Ankara and its forecasting using regression models
International Journal of Remote Sensing, Vol. 30, No. 17, Eylül 2009, s. 4387
AKSOY BÜLENT,İNCECİK SALAHATTİN,TOPÇU HATİCE SEMA,DEMİRHAN BARI DENİZ,KAHYA CEYHAN,YILMAZ ACAR,MUSTAFA ÖZÜNLÜ,EKİCİ MUSTAFA
Anemia Modelling Using the Multiple Regression Analysis
International Journal of Analysis and Applications, Vol. 17, No. 5, Eylül 2019, s. 838-849, ISSN: 2291-8639
SARI MURAT,AHMAD ARSHED ADHAM
Murat Sarı Özgün Makale
10Be chronology of deglaciation and ice-dammed lake regression in the vicinity of the Mylodon Cave (Cerro Benítez, Patagonia, Chile)
Elsevier BV, Vol. 278, Şubat 2022, ISSN: 0277-3791
GİRAULT IGOR, TODİSCO DOMİNİQUE, ÇİNER TAHSİN ATTİLA, SARIKAYA MEHMET AKİF, YILDIRIM CENGİZ, QUİQUEREZ AMÉLİE, MARTİN FABİANA, BORRERO LUİS, FABEL DEREK
Mark Up Size Estimation in Railway Projects Using the Integration of AHP and Regression Analysis Techniques
Creative Construction Conference – CC2015, 21 Haziran 2015
POLAT TATAR GÜL,BAYTEKİN SEYDA,ERAY EKİN
Gül Polat Tatar Tam metin bildiri
River flow prediction using hybrid models of support vector regression with the wavelet transform, singular spectrum analysis and chaotic approach
Meteorology and Atmospheric Physics, Vol. 130, No. 3, Haziran 2018, s. 349-359, ISSN: 0177-7971
BAYDAROĞLU ÖZLEM,KOÇAK KASIM,DURAN KEMAL
Kasım Koçak Özgün Makale
Statistical Analysis of Short Fiber Content and Tenacity Using Exponential Regression
4 th International Graduate Research Symposium | IGRS’25, İstanbul/TÜRKİYE, 12 Mayıs 2025, s. 1920-1922
ASLAN ÇAĞDAŞ,ERYÜRÜK SELİN HANİFE,WILL MICHAEL
Selin Hanife Eryürük Tam metin bildiri
Model-free MIMO self-tuning controller based on support vector regression for nonlinear systems
NEURAL COMPUTING & APPLICATIONS, Vol. 33, No. 22, Haziran 2021, s. 15731-15750, ISSN: 0941-0643
UÇAK KEMAL, ÖKE GÜNEL GÜLAY
Gülay Öke Günel Özgün Makale

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