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An inverse controller design method for interval type-2 fuzzy models
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Deep learning frameworks to learn prediction and simulation focused control system models
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Inverse Optimal Control Approach to Model Predictive Control for Linear System Models
ELECO 2017 10th International Conference on Electrical and Electronics, Bursa/TÜRKİYE, 30 Kasım 2017, s. 823-827
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Analytical fractional PID controller design based on Bode’xxs ideal transfer transfer function plus time delay
ISA TRANSACTIONS, Vol. 91, Ağustos 2019, s. 196-206, ISSN: 0019-0578
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Inverse Optimal Control Approach to Model Predictive Control for Linear System Models
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The Stability of Poiseuille flow of a Second Order Incompressible Rivlin Ericksen Fluid
Proceedings Continuum Models and Discrete Systems 9, World Scientific, Istanbul/TÜRKİYE, 29 Haziran 1998, s. 827-829
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Development and experimental validation of finite element models for a prestressed lead extrusion damper
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An inverse controller design method for interval type-2 fuzzy models
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Empirical evaluation of the effects of mixed project data on learning defect predictors
37th EUROMICRO Conference on Software Engineering and Advanced Applications, Oulu/FİNLANDİYA, 30 Ağustos 2011
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Validation of network measures as indicators of defective modules in software systems
Proceedings of the 5th International Conference on Predictor Models in Software Engineering - PROMISE ’xx09, 18 Mayıs 2009
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Integration of Text Mining and Binary QSAR Models for Novel Anti-Hypertensive Antagonist Scaffolds
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Drug Re-Positioning Studies for Novel HIV-1 Inhibitors Using Binary QSAR Models and Multi-Target-DrivenIn SilicoStudies
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Current status of multiscale simulations on GPCRs
CURRENT OPINION IN STRUCTURAL BIOLOGY, Vol. 55, No. null, Nisan 2019, s. 93-103, ISSN: 0959-440X
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Integration of Text Mining and Binary QSAR Models for Novel Anti-Hypertensive Antagonist Scaffolds
63rd Annual Meeting of the Biophysical-Society, Baltımore/AMERİKA BİRLEŞİK DEVLETLERİ, 15 Şubat 2019
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On the polytropic indices for the gas pressure in bubble dynamic acoustic and hydrodynamic cavitation models
The 12th International Cavitation Symposium –(CAV2024), Chania/YUNANİSTAN, 2 Haziran 2024
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Relevant subtask learning by constrainedmixture models
Intelligent Data Analysis, Vol. 14, No. 6, Kasım 2010, s. 641-662, ISSN: 1088-467X
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A Cryogenic LC VCO Utilizing Cryogenic Models of Active Devices
2019 6th International Conference on Electrical and Electronics Engineering (ICEEE), Istanbul/TÜRKİYE, 16 Nisan 2019, s. 220-224
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Variability-aware cryogenic models of mosfets: validation and circuit design
SEMICONDUCTOR SCIENCE AND TECHNOLOGY, Vol. 34, No. 11, Ekim 2019, s. 1-10, ISSN: 0268-1242
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Process mismatch analysis based on reduced order models
Thirteenth International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA/AMERİKA BİRLEŞİK DEVLETLERİ, 19 Mart 2012, s. 648-655
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