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You searched for +publisher:"Clemson University" +contributor:("Sez Atamturktur"). Showing records 1 – 14 of 14 total matches.

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Clemson University

1. Sybrandt, Justin George. Exploiting Latent Features of Text and Graphs.

Degree: PhD, School of Computing, 2020, Clemson University

  As the size and scope of online data continues to grow, new machine learning techniques become necessary to best capitalize on the wealth of… (more)

Subjects/Keywords: Conditional Text Generation; Graph Embedding; Hypergraph Partitioning; Hypothesis Generation; Literature-based Discovery; Text Embedding

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APA (6th Edition):

Sybrandt, J. G. (2020). Exploiting Latent Features of Text and Graphs. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2592

Chicago Manual of Style (16th Edition):

Sybrandt, Justin George. “Exploiting Latent Features of Text and Graphs.” 2020. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2592.

MLA Handbook (7th Edition):

Sybrandt, Justin George. “Exploiting Latent Features of Text and Graphs.” 2020. Web. 04 Aug 2020.

Vancouver:

Sybrandt JG. Exploiting Latent Features of Text and Graphs. [Internet] [Doctoral dissertation]. Clemson University; 2020. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2592.

Council of Science Editors:

Sybrandt JG. Exploiting Latent Features of Text and Graphs. [Doctoral Dissertation]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_dissertations/2592


Clemson University

2. Yazdekhasti, Sepideh. Feasibility Evaluation of a Vibration-Based Leak Detection Technique for Sustainable Water Distribution Pipeline System Monitoring.

Degree: PhD, Civil Engineering, 2017, Clemson University

  Conventional water pipeline leak-detection surveys employ labor-intensive acoustic techniques, which are usually expensive and less useful for continuous monitoring of distribution pipelines. Based on… (more)

Subjects/Keywords: Pipeline Leak Detection; Real-time Monitoring; Smart Infrastructure Monitoring; Structural Health Monitoring; Vibration Testing; Wireless Sensor Networks for Intelligent Infrastructure

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APA (6th Edition):

Yazdekhasti, S. (2017). Feasibility Evaluation of a Vibration-Based Leak Detection Technique for Sustainable Water Distribution Pipeline System Monitoring. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2544

Chicago Manual of Style (16th Edition):

Yazdekhasti, Sepideh. “Feasibility Evaluation of a Vibration-Based Leak Detection Technique for Sustainable Water Distribution Pipeline System Monitoring.” 2017. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2544.

MLA Handbook (7th Edition):

Yazdekhasti, Sepideh. “Feasibility Evaluation of a Vibration-Based Leak Detection Technique for Sustainable Water Distribution Pipeline System Monitoring.” 2017. Web. 04 Aug 2020.

Vancouver:

Yazdekhasti S. Feasibility Evaluation of a Vibration-Based Leak Detection Technique for Sustainable Water Distribution Pipeline System Monitoring. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2544.

Council of Science Editors:

Yazdekhasti S. Feasibility Evaluation of a Vibration-Based Leak Detection Technique for Sustainable Water Distribution Pipeline System Monitoring. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/2544


Clemson University

3. Akhavan Niaki, Farbod. A Probabilistic-Based Approach to Monitoring Tool Wear State and Assessing Its Effect on Workpiece Quality in Nickel-Based Alloys.

Degree: PhD, Automotive Engineering, 2016, Clemson University

 The objective of this research is first to investigate the applicability and advantage of statistical state estimation methods for predicting tool wear in machining nickel-based… (more)

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APA (6th Edition):

Akhavan Niaki, F. (2016). A Probabilistic-Based Approach to Monitoring Tool Wear State and Assessing Its Effect on Workpiece Quality in Nickel-Based Alloys. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1858

Chicago Manual of Style (16th Edition):

Akhavan Niaki, Farbod. “A Probabilistic-Based Approach to Monitoring Tool Wear State and Assessing Its Effect on Workpiece Quality in Nickel-Based Alloys.” 2016. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1858.

MLA Handbook (7th Edition):

Akhavan Niaki, Farbod. “A Probabilistic-Based Approach to Monitoring Tool Wear State and Assessing Its Effect on Workpiece Quality in Nickel-Based Alloys.” 2016. Web. 04 Aug 2020.

Vancouver:

Akhavan Niaki F. A Probabilistic-Based Approach to Monitoring Tool Wear State and Assessing Its Effect on Workpiece Quality in Nickel-Based Alloys. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1858.

Council of Science Editors:

Akhavan Niaki F. A Probabilistic-Based Approach to Monitoring Tool Wear State and Assessing Its Effect on Workpiece Quality in Nickel-Based Alloys. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1858


Clemson University

4. Fisher, Murray. Analysis and Evaluation of Existing and Novel Turbulent Dynamic Pressure Based Methods for Measuring Bridge Pier and Abutment Scour.

Degree: PhD, Civil Engineering, 2012, Clemson University

  Scour is one of the most significant threats to bridge infrastructure and is the leading cause of failure within the United States. Given this… (more)

Subjects/Keywords: Civil Engineering

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APA (6th Edition):

Fisher, M. (2012). Analysis and Evaluation of Existing and Novel Turbulent Dynamic Pressure Based Methods for Measuring Bridge Pier and Abutment Scour. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1608

Chicago Manual of Style (16th Edition):

Fisher, Murray. “Analysis and Evaluation of Existing and Novel Turbulent Dynamic Pressure Based Methods for Measuring Bridge Pier and Abutment Scour.” 2012. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1608.

MLA Handbook (7th Edition):

Fisher, Murray. “Analysis and Evaluation of Existing and Novel Turbulent Dynamic Pressure Based Methods for Measuring Bridge Pier and Abutment Scour.” 2012. Web. 04 Aug 2020.

Vancouver:

Fisher M. Analysis and Evaluation of Existing and Novel Turbulent Dynamic Pressure Based Methods for Measuring Bridge Pier and Abutment Scour. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1608.

Council of Science Editors:

Fisher M. Analysis and Evaluation of Existing and Novel Turbulent Dynamic Pressure Based Methods for Measuring Bridge Pier and Abutment Scour. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/1608


Clemson University

5. Lu, Jie. Robust Modeling Framework for Transportation Infrastructure System Protection Under Uncertainty.

Degree: PhD, Civil Engineering, 2015, Clemson University

 This dissertation presents a modelling framework that will be useful for decision makers at federal and state levels to establish efficient resource allocation schemes to… (more)

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APA (6th Edition):

Lu, J. (2015). Robust Modeling Framework for Transportation Infrastructure System Protection Under Uncertainty. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1772

Chicago Manual of Style (16th Edition):

Lu, Jie. “Robust Modeling Framework for Transportation Infrastructure System Protection Under Uncertainty.” 2015. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1772.

MLA Handbook (7th Edition):

Lu, Jie. “Robust Modeling Framework for Transportation Infrastructure System Protection Under Uncertainty.” 2015. Web. 04 Aug 2020.

Vancouver:

Lu J. Robust Modeling Framework for Transportation Infrastructure System Protection Under Uncertainty. [Internet] [Doctoral dissertation]. Clemson University; 2015. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1772.

Council of Science Editors:

Lu J. Robust Modeling Framework for Transportation Infrastructure System Protection Under Uncertainty. [Doctoral Dissertation]. Clemson University; 2015. Available from: https://tigerprints.clemson.edu/all_dissertations/1772


Clemson University

6. Hu, Xiaoyu. A Comprehensive Framework for White-Box Damage Detection in Structural Systems Based on Extended Constitutive Relation Error Method.

Degree: PhD, Civil Engineering, 2017, Clemson University

 Early detection of the deterioration and degradation in civil infrastructure is critical for structural engineers and infrastructure managers to develop rehabilitation and maintenance plans. In… (more)

Subjects/Keywords: Constitutive relation error method; Damage detection; Model updating; Nonlinear model; Steel frame; Structural health monitoring

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APA (6th Edition):

Hu, X. (2017). A Comprehensive Framework for White-Box Damage Detection in Structural Systems Based on Extended Constitutive Relation Error Method. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2063

Chicago Manual of Style (16th Edition):

Hu, Xiaoyu. “A Comprehensive Framework for White-Box Damage Detection in Structural Systems Based on Extended Constitutive Relation Error Method.” 2017. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2063.

MLA Handbook (7th Edition):

Hu, Xiaoyu. “A Comprehensive Framework for White-Box Damage Detection in Structural Systems Based on Extended Constitutive Relation Error Method.” 2017. Web. 04 Aug 2020.

Vancouver:

Hu X. A Comprehensive Framework for White-Box Damage Detection in Structural Systems Based on Extended Constitutive Relation Error Method. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2063.

Council of Science Editors:

Hu X. A Comprehensive Framework for White-Box Damage Detection in Structural Systems Based on Extended Constitutive Relation Error Method. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/2063

7. Kyser, Daniel. Geotechnical Analysis of the Foundation of Fort Sumter National Monument using Numerical Modeling.

Degree: MS, Civil Engineering, 2014, Clemson University

  The foundational condition of the historical coastal fortification of Fort Sumter in Charleston, SC was analyzed though the use of numerical modeling. In this… (more)

Subjects/Keywords: Civil Engineering

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APA (6th Edition):

Kyser, D. (2014). Geotechnical Analysis of the Foundation of Fort Sumter National Monument using Numerical Modeling. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2067

Chicago Manual of Style (16th Edition):

Kyser, Daniel. “Geotechnical Analysis of the Foundation of Fort Sumter National Monument using Numerical Modeling.” 2014. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2067.

MLA Handbook (7th Edition):

Kyser, Daniel. “Geotechnical Analysis of the Foundation of Fort Sumter National Monument using Numerical Modeling.” 2014. Web. 04 Aug 2020.

Vancouver:

Kyser D. Geotechnical Analysis of the Foundation of Fort Sumter National Monument using Numerical Modeling. [Internet] [Masters thesis]. Clemson University; 2014. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2067.

Council of Science Editors:

Kyser D. Geotechnical Analysis of the Foundation of Fort Sumter National Monument using Numerical Modeling. [Masters Thesis]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_theses/2067

8. Roper, Robert. Combined Numberical and Experimental Assessment of Steel Roof Decks Subjected to Windborne Debris.

Degree: MS, Civil Engineering, 2014, Clemson University

  In the summer of 2013, a steel roof deck manufacturer (Company A) approached Clemson University about testing their steel roof decking product to evaluate… (more)

Subjects/Keywords: Civil Engineering

…provided Clemson University with two profiles of corrugated steel roof decking for the… …Structures Laboratory at Clemson University. A specific and detailed testing procedure was… …constructed at the Structural Laboratory of Clemson University. The device uses a pneumatic… 

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APA (6th Edition):

Roper, R. (2014). Combined Numberical and Experimental Assessment of Steel Roof Decks Subjected to Windborne Debris. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2073

Chicago Manual of Style (16th Edition):

Roper, Robert. “Combined Numberical and Experimental Assessment of Steel Roof Decks Subjected to Windborne Debris.” 2014. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2073.

MLA Handbook (7th Edition):

Roper, Robert. “Combined Numberical and Experimental Assessment of Steel Roof Decks Subjected to Windborne Debris.” 2014. Web. 04 Aug 2020.

Vancouver:

Roper R. Combined Numberical and Experimental Assessment of Steel Roof Decks Subjected to Windborne Debris. [Internet] [Masters thesis]. Clemson University; 2014. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2073.

Council of Science Editors:

Roper R. Combined Numberical and Experimental Assessment of Steel Roof Decks Subjected to Windborne Debris. [Masters Thesis]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_theses/2073

9. Stevens, Garrison. Stochastic Wavenumber Estimation: Damage Detection Through Simulated Guide Lamb Waves.

Degree: MS, Civil Engineering, 2014, Clemson University

  Structural Health Monitoring (SHM) is a field of research that seeks to identify the onset of damage in infrastructure systems such that catastrophic failures… (more)

Subjects/Keywords: Bayesian Inference; Guided Lamb Waves; Nondestructive Testing and Evaluation; Structural Health Monitoring; Civil Engineering

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APA (6th Edition):

Stevens, G. (2014). Stochastic Wavenumber Estimation: Damage Detection Through Simulated Guide Lamb Waves. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2061

Chicago Manual of Style (16th Edition):

Stevens, Garrison. “Stochastic Wavenumber Estimation: Damage Detection Through Simulated Guide Lamb Waves.” 2014. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2061.

MLA Handbook (7th Edition):

Stevens, Garrison. “Stochastic Wavenumber Estimation: Damage Detection Through Simulated Guide Lamb Waves.” 2014. Web. 04 Aug 2020.

Vancouver:

Stevens G. Stochastic Wavenumber Estimation: Damage Detection Through Simulated Guide Lamb Waves. [Internet] [Masters thesis]. Clemson University; 2014. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2061.

Council of Science Editors:

Stevens G. Stochastic Wavenumber Estimation: Damage Detection Through Simulated Guide Lamb Waves. [Masters Thesis]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_theses/2061

10. Kamath, Aditya Prakash. Seismic Risk Assessment of Masonry Arch Bridges in the United States.

Degree: MS, Civil Engineering, 2017, Clemson University

 Over 1600 masonry arch bridges serve as part of the U.S. transportation infrastructure system. The preservation of these bridges is important due not only to… (more)

Subjects/Keywords: Finite Element; Fragility Curve; Masonry Arch Bridge; Risk Indices; Seismic Analysis; Time History Analysis

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APA (6th Edition):

Kamath, A. P. (2017). Seismic Risk Assessment of Masonry Arch Bridges in the United States. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2790

Chicago Manual of Style (16th Edition):

Kamath, Aditya Prakash. “Seismic Risk Assessment of Masonry Arch Bridges in the United States.” 2017. Masters Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_theses/2790.

MLA Handbook (7th Edition):

Kamath, Aditya Prakash. “Seismic Risk Assessment of Masonry Arch Bridges in the United States.” 2017. Web. 04 Aug 2020.

Vancouver:

Kamath AP. Seismic Risk Assessment of Masonry Arch Bridges in the United States. [Internet] [Masters thesis]. Clemson University; 2017. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_theses/2790.

Council of Science Editors:

Kamath AP. Seismic Risk Assessment of Masonry Arch Bridges in the United States. [Masters Thesis]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_theses/2790

11. Martínez Andino, Marcos Javier. Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models.

Degree: PhD, Civil Engineering, 2018, Clemson University

 This dissertation aims at describing and examining the compressive and out-of-plane behavior and failure patterns of mortarless masonry prisms and walls through experimental tests and… (more)

Subjects/Keywords: compressive behavior; finite element models; flexural behavior; mortarless masonry; thermal behavior; thermal performance

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APA (6th Edition):

Martínez Andino, M. J. (2018). Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2123

Chicago Manual of Style (16th Edition):

Martínez Andino, Marcos Javier. “Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models.” 2018. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/2123.

MLA Handbook (7th Edition):

Martínez Andino, Marcos Javier. “Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models.” 2018. Web. 04 Aug 2020.

Vancouver:

Martínez Andino MJ. Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/2123.

Council of Science Editors:

Martínez Andino MJ. Assessment of the Structural and Thermal Behavior of Concrete Masonry Construction via Experimentally Informed Numerical Models. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2123

12. Kiesling, Audra. Public Perceptions of Individual Natural Hazard Resilience Related to the Built Environment.

Degree: PhD, Civil Engineering, 2016, Clemson University

 The unpredictability of the weather and the variability of preparedness and socio- demographics among the general public contribute greatly to the overall resilience (or lack… (more)

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APA (6th Edition):

Kiesling, A. (2016). Public Perceptions of Individual Natural Hazard Resilience Related to the Built Environment. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1720

Chicago Manual of Style (16th Edition):

Kiesling, Audra. “Public Perceptions of Individual Natural Hazard Resilience Related to the Built Environment.” 2016. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1720.

MLA Handbook (7th Edition):

Kiesling, Audra. “Public Perceptions of Individual Natural Hazard Resilience Related to the Built Environment.” 2016. Web. 04 Aug 2020.

Vancouver:

Kiesling A. Public Perceptions of Individual Natural Hazard Resilience Related to the Built Environment. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1720.

Council of Science Editors:

Kiesling A. Public Perceptions of Individual Natural Hazard Resilience Related to the Built Environment. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1720

13. Stevens, Garrison N. Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models.

Degree: Civil Engineering, 2016, Clemson University

  Partitioned analysis involves coupling of constituent models that resolve their own scales or physics by exchanging inputs and outputs in an iterative manner. Through… (more)

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APA (6th Edition):

Stevens, G. N. (2016). Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models. (Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stevens, Garrison N. “Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models.” 2016. Thesis, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stevens, Garrison N. “Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models.” 2016. Web. 04 Aug 2020.

Vancouver:

Stevens GN. Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models. [Internet] [Thesis]. Clemson University; 2016. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stevens GN. Experiment-Based Validation and Uncertainty Quantification of Partitioned Models: Improving Predictive Capability of Multi-Scale Plasticity Models. [Thesis]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Farajpour, Ismail. PREDICTIVE MATURITY OF INEXACT AND UNCERTAIN STRONGLY COUPLED NUMERICAL MODELS.

Degree: PhD, Civil Engineering, 2013, Clemson University

  The Computer simulations are commonly used to predict the response of complex systems in many branches of engineering and science. These computer simulations involve… (more)

Subjects/Keywords: Coupling; Design of Experiments; Model Validation; Numerical Analysis; Optimization; Uncertainty Quantification; Civil Engineering

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APA (6th Edition):

Farajpour, I. (2013). PREDICTIVE MATURITY OF INEXACT AND UNCERTAIN STRONGLY COUPLED NUMERICAL MODELS. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1246

Chicago Manual of Style (16th Edition):

Farajpour, Ismail. “PREDICTIVE MATURITY OF INEXACT AND UNCERTAIN STRONGLY COUPLED NUMERICAL MODELS.” 2013. Doctoral Dissertation, Clemson University. Accessed August 04, 2020. https://tigerprints.clemson.edu/all_dissertations/1246.

MLA Handbook (7th Edition):

Farajpour, Ismail. “PREDICTIVE MATURITY OF INEXACT AND UNCERTAIN STRONGLY COUPLED NUMERICAL MODELS.” 2013. Web. 04 Aug 2020.

Vancouver:

Farajpour I. PREDICTIVE MATURITY OF INEXACT AND UNCERTAIN STRONGLY COUPLED NUMERICAL MODELS. [Internet] [Doctoral dissertation]. Clemson University; 2013. [cited 2020 Aug 04]. Available from: https://tigerprints.clemson.edu/all_dissertations/1246.

Council of Science Editors:

Farajpour I. PREDICTIVE MATURITY OF INEXACT AND UNCERTAIN STRONGLY COUPLED NUMERICAL MODELS. [Doctoral Dissertation]. Clemson University; 2013. Available from: https://tigerprints.clemson.edu/all_dissertations/1246

.