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New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey
New Trends and Issues Proceedings on Humanities and Social Sciences, Vol. 3, No. 3, Mart 2017, s. 11-17, ISSN: 2421-8030
AKAY MEHMET FATİH,ABUT FATİH,KAYA KIYMET,ÇETİN EBRU,YARIM İMDAT
Kıymet Kaya Ünal Özgün Makale
On The Predictability of Stock Returns Based on Financial Ratios: Evidence From Panel Quantile Regression Forests
19th INTERNATIONAL SYMPOSIUM ON ECONOMETRICS, OPERATIONS RESEARCH ANDSTATISTICS, 17 Ekim 2018
GÜLOĞLU BÜLENT,GÜVEN MURAT,ÜSTÜNDAĞ ALP
Alp Üstündağ Tam metin bildiri
Discussion on ‘‘the estimation of monthly mean significant wave heights by using artificial neural network and regression methods” by Kemal Günaydın [Ocean Engineering 35 (2008) 1406–1415]
OCEAN ENGINEERING, Vol. 36, No. 6-7, Mayıs 2009, s. 535-536, ISSN: 0029-8018
ERDİK TARKAN
Tarkan Erdik Vaka Takdimi
Mean Normalized Force Computation for Different Types of Obstacles due to Dam Break Using Statistical Techniques
Water, Vol. 5, No. 2, 2013, s. 560-577, ISSN: 2073-4441
ERDİK JASNA DURİCİC,ERDİK TARKAN,PEKTAŞ ALİOSMAN,VAN GELDER PİETER
Discussion of “Improvement of Regression Simulation in Fluvial Sediment Loads” by P. Wang and L. C. Linker
JOURNAL OF HYDRAULIC ENGINEERING, Vol. 136, No. 3, Mart 2010, s. 191-192, ISSN: 0733-9429
ERDİK TARKAN,ŞEN ZEKAİ
Tarkan Erdik Vaka Takdimi
Multiclass Classification of Hepatic Anomalies with Dielectric Properties: From Phantom Materials to Rat Hepatic Tissues
SENSORS, Vol. 20, No. 2, Ocak 2020, s. 530, ISSN: -
YILMAZ ABDOLSAHEB TUBA
Rock slope damage level prediction by using multivariate adaptive regression splines (MARS)
NEURAL COMPUTING APPLICATIONS, Vol. 31, No. 7, Temmuz 2019, s. 2269-2278, ISSN: 0941-0643
ERDİK TARKAN,PEKTAŞ ALİOSMAN
Tarkan Erdik Özgün Makale
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, Temmuz 2020, ISSN: 1361-9209
UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN
Using single-and multi-target regression to estimate biophysical parameters of crops
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
ŞAHİN ZEHRA MELTEM,ERTEN ESRA,MUSAOĞLU NEBİYE,CANBAY DENİZ EKİN,TAŞKIN KAYA GÜLŞEN
Nebiye Musaoğlu Tam metin bildiri
ANN Decision Tree and Regression Methods for Forecasting Monthly Lagged Lake Water Level
9th World Congress of EWRA: Water Resources Management in a Changing World: Challenges and Opportunities, İstanbul/TÜRKİYE, 10 Haziran 2015
VAHEDDOOST BABAK,AKSOY HAFZÜLLAH,ABGHARI HIRAD,ZARE SX
Hafzüllah Aksoy Tam metin bildiri
Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model
WATER AND ENVIRONMENT JOURNAL, Vol. 34, No. 1, Şubat 2020, s. 66-76, ISSN: 1747-6585
TAYFUR GÖKMEN, AKSOY HAFZÜLLAH, ERİŞ DUMAN EBRU
Hafzüllah Aksoy Özgün Makale
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, Temmuz 2020, ISSN: 1361-9209
UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN
Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model
Water and Environment Journal, Aralık 2018, ISSN: 1747-6585
TAYFUR GÖKMEN,AKSOY HAFZÜLLAH,ERİŞ DUMAN EBRU
Hafzüllah Aksoy Özgün Makale
Prediction of Commonly used Drought Indices using Support Vector Regression Powered by Chaotic Approach
Italian Journal of Agrometeorology-Rivista Italiana di Agrometeorologia, Ocak 2020, ISSN: 2038-5625
BAYDAROĞLU YEŞİLKÖY ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
Levent Şaylan Özgün Makale
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, No. 102389, Haziran 2020, s. 1-14, ISSN: 1361-9209
UYANIK TAYFUN,KARATUG CAGLAR,ARSLANOĞLU YASİN
Multiple Linear Regression Approach for Quantification of Cd Removal Efficiency Without a Specific Analytical Signal
ISAS2019, 3rd International Symposium on Innovative Approaches in Scientific Studies, Engineering and Natural Sciences, Ankara/TÜRKİYE, 19 Nisan 2019, s. 26-26
ÇİNİ NEJLA,ÇALIŞIR FERAH
Nejla Çini Özet Bildiri
Prediction of Commonly used Drought Indices using Support Vector Regression Powered by Chaotic Approach
Italian Journal of Agrometeorology-Rivista Italiana di Agrometeorologia, Aralık 2020, ISSN: 2038-5625
BAYDAROĞLU YEŞİLKÖY ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
Levent Şaylan Özgün Makale
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
Applicability of regression analysis on the oxygen enriched combustion of AdiyamanGolbasi lignite
2nd International Conference on Pure and Applied Mathematics, Van/TÜRKİYE, 11 Eylül 2018, s. 141
UĞUZ ÖZLEM,DEMİRCİ ALİ,AÇMA HANZADE,YAMAN SERDAR
Serdar Yaman Özet Bildiri
Applicability of regression analysis on the oxygen enriched combustion of Kutahya-Tuncbilek lignite
2nd International Conference on Pure and Applied Mathematics, Van/TÜRKİYE, 11 Eylül 2018, s. 140
UĞUZ ÖZLEM,DEMİRCİ ALİ,AÇMA HANZADE,YAMAN SERDAR
Serdar Yaman Özet Bildiri Enerji

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