Modeling and Prediction of the Covid-19 Cases With Deep Assessment Methodology and Fractional Calculus
IEEE ACCESS, Vol. 8, Ocak 2020, s. 164012-164034, ISSN: 2169-3536
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Prediction of hull girder moment carrying capacity using kinematic displacement theory
Marine Structures, Vol. 39, Aralık 2014, s. 157-173, ISSN: 09518339
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An empirical study on the effect of community smells on bug prediction
Software Quality Journal, Vol. 29, Ocak 2021, s. 159-194, ISSN: 0963-9314
EKEN BEYZA, PALMA FRANCİS, BENER AYŞE, TOSUN AYŞE
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Deployment of a change level software defect prediction solution into an industrial setting
Journal of Software: Evolution and Process, Vol. 33, No. 11, Eylül 2021, ISSN: 2047-7473
EKEN BEYZA, TUFAN SELDA, TUNABOYLU ALPER, GULER TEVFİK, ATAR RİFAT NACİ, TOSUN AYŞE
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Practical considerations in deploying statistical methods for defect prediction A case study within the Turkish telecommunications industry
Information and Software Technology, Vol. 52, No. 11, Kasım 2010, s. 1242-1257, ISSN: 09505849
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Prediction of the vertical motions of the DTMB 5415 ship using different approaches
Brodogradnja, Vol. 68, No. 2, Haziran 2017, s. 29-44, ISSN: 0007-215X
ÇAKICI FERDİ,SUKAS ÖMER FARUK,KINACI ÖMER KEMAL,ALKAN AHMET DURSUN
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System based prediction of maneuvering performance of twin-propeller and twin-rudder ship using a modular mathematical model
OCEAN ENGINEERING, Vol. 84, 2019, s. 145-162, ISSN: 0029-8018
SUKAS ÖMER FARUK,KINACI ÖMER KEMAL,BAL ŞAKİR
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URANS-Based Prediction of Vortex Induced Vibrations of Circular Cylinders
Journal of Applied Fluid Mechanics, Vol. 10, No. 3, Mayıs 2017, s. 957-970, ISSN: 1735-3572
DOBRUCALI ERİNÇ,KINACI ÖMER KEMAL
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Prediction of wave resistance by a RANSE based CFD approach
Proceedings of the Institution of Mechanical Engineers Part M - Journal of Engineering for the Maritime Environment, Vol. 230, No. 3, 2016, s. 531-548
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Hydrodynamic and Hydroacoustic Computational Prediction of Conventional and Highly Skewed Marine Propellers Operating in Non-uniform Ship Wake
Journal of Marine Science and Application, Vol. 19, No. 1, Mart 2020, s. 28-40, ISSN: 1671-9433
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Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool
21st International Conference onSoftware Engineering Knowledge Engineering, 1 Temmuz 2009
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Periodic Developer Metrics in Software Defect Prediction
2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM), 23 Eylül 2018
ÖZCAN KİNİ SELDAĞ,TOSUN AYŞE
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A mapping study on bayesian networks for software quality prediction
Proceedings of the 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering - RAISE 2014, 3 Haziran 2014
TOSUN MISIRLI AYŞE,BENER AYŞE
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Usage of multiple prediction models based on defect categories
Proceedings of the 6th International Conference on Predictive Models in Software Engineering - PROMISE ’xx10, 12 Eylül 2010
CAGLAYAN BORA,TOSUN AYŞE,MİRANSKYY ANDRİY,AYSE BENER,NUZİO RUFFOLO
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Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations
Knowledge-Based Systems, Vol. 137, Aralık 2017, s. 138-148, ISSN: 0950-7051
GÜNDÜZ HAKAN,YASLAN YUSUF,ÇATALTEPE ZEHRA
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A hybrid method for time series prediction using EMD and SVR
2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP),, 21 Mayıs 2014
BİCAN BAHADIR,YASLAN YUSUF
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Improving the Performance of Transient Stability Prediction using Resampling Methods
11th INTERNATIONAL CONFERENCE onELECTRICAL and ELECTRONICS ENGINEERING, 28 Kasım 2019
SANER CAN BERK,KESİCİ MERT,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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A CNN-Based Post-Contingency Transient Stability Prediction Using Transfer Learning
11th INTERNATIONAL CONFERENCE onELECTRICAL and ELECTRONICS ENGINEERING, 28 Kasım 2019
JAFARZADEH SEVDA,MOARREF NAZANİN,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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Next Item Prediction Using Neural Networks with Embedding Initialized Weights
IEEE EUROCON 2021-19th International Conference on Smart Technologies, 6 Temmuz 2021
YILDIZ ÇAĞRI EMRE, AKER MUSTAFA, YASLAN YUSUF
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A novel integrated framework for real-time prediction of transient instabilities in power systems with their severity levels using deep learning
Sustainable Energy, Grids and Networks, Vol. 36, Aralık 2023, ISSN: 2352-4677
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