Modeling and Prediction of the Covid-19 Cases With Deep Assessment Methodology and Fractional Calculus
IEEE ACCESS, Vol. 8, Ocak 2020, ISSN: 2169-3536
KARAÇUHA KAMİL,TONTUŞ HACI ÖMER,ÖNAL TUĞRUL NİSA ÖZGE,KARAÇUHA ERTUĞRUL
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Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, Vol. 19, No. 1, 2014, s. 1-14, ISSN: 0948-4280
AKPINAR ADEM,ÖZGER MEHMET,KÖMÜRCÜ MURAT İHSAN
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Investigating the performance of personalized models for software defect prediction
Journal of Systems and Software, Vol. 181, Ocak 2021, ISSN: 0164-1212
EKEN BEYZA, TOSUN AYŞE
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Deep learning frameworks to learn prediction and simulation focused control system models
Applied Intelligence, Ocak 2021, ISSN: 0924-669X
TUNA TURCAN, BEKE AYKUT, KUMBASAR TUFAN
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Maximizing daily rainfall prediction accuracy with maximum overlap discrete wavelet transform‐based machine learning models
International Journal of Climatology, Haziran 2024, ISSN: 0899-8418
KÜLLAHCI KÜBRA,ALTUNKAYNAK ABDÜSSELAM
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Accurate extended time horizon drought prediction via wavelet-season-fuzzy models
Applied Soft Computing, Vol. 143, Ağustos 2023, ISSN: 1568-4946
ALTUNKAYNAK ABDÜSSELAM, ÇELİK ANIL
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Hourly significant wave height prediction via singular spectrum analysis and wavelet transform based models
Ocean Engineering, Vol. 281, Ağustos 2023, ISSN: 0029-8018
ALTUNKAYNAK ABDÜSSELAM, ÇELİK ANIL, MANDEV MURAT BARIŞ
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Emissions Prediction of a Reverse Flow Combustor Using Network Models
1st International Symposium on Sustainable Aviation, 31 Mayıs 2015
GÖKHAN VAROL,SARIKAYA GÜRKAN,TUNÇER ONUR,ÖZTARLIK GÖRKEM
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Prediction of api gravity (oil quality) using some geochemical parameters with ensemble boosted trees and smoothing spline correlation models
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
LEO KORKU ANYIGBA
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A dataset quality enhancement method for fine-grained just-in-time software defect prediction models
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
İREM FİDANDAN
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Short-term wind power generation forecasting by coupling numerical weather prediction models and machine learning algorithms
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
CEM ÖZEN
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Suggestion of performance prediction models for impact hammer used in Levent-Hisarüstü metro tunnel
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2015
SHAHABEDIN HOJJATI
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Sparse linear prediction models for radar imaging and classification
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2015
BAHAR ÖZEN
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Performance evaluation of parametric models in the hindcasting of wave parameters along the south coast of Black Sea
INDIAN JOURNAL OF GEO-MARINE SCIENCES, Vol. 43, No. 6, 2014, s. 899-914, ISSN: 0379-5136
AKPINAR ADEM,ÖZGER MEHMET,BEKİROGLU SERKAN,KÖMÜRCÜ MURAT İHSAN
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Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction
Computers and Electronics in Agriculture, Vol. 179, Aralık 2020, s. 105851-105851, ISSN: 0168-1699
ÖZGER MEHMET,BAŞAKIN EYYUP ENSAR,EKMEKCİOĞLU ÖMER,HACISÜLEYMAN VOLKAN
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The importance of site specific characters in prediction models for blast induced ground vibrations
Soil Dynamics and Earthquake Engineering, Vol. 28, No. 5, Mayıs 2008, s. 405-414, ISSN: 02677261
KUZU CENGİZ
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New Prediction Models for Mean Particle Size in Rock Blast Fragmentation
Geotechnical and Geological Engineering, Vol. 30, No. 3, Haziran 2012, s. 665-684, ISSN: 0960-3182
KULATILAKE PHSW,HÜDAVERDİ TÜRKER,WU QIONG
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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
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Prediction of tool wear using regression and ANN models in end-milling operation a critical review
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, Vol. 43, No. 7-8, Ağustos 2009, s. 765-766, ISSN: 0268-3768
ERDİK TARKAN,ŞEN ZEKAİ
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Peak discharge prediction due to embankment dam break by using sensitivity analysis based ANN
KSCE Journal of Civil Engineering, Vol. 18, No. 6, 2014, s. 1868-1876, ISSN: 1226-7988
PEKTAŞ ALİOSMAN,ERDİK TARKAN
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