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You searched for +publisher:"University of Southern California" +contributor:("Ghanem, Roger G."). Showing records 1 – 19 of 19 total matches.

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University of Southern California

1. Evazi Yadecuri, Mohammad. Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells.

Degree: PhD, Petroleum Engineering, 2013, University of Southern California

 Oil and gas reservoirs in fluvial and deltaic depositional systems comprise a significant portion of the so-called conventional resources. In these systems, the inherent reservoir… (more)

Subjects/Keywords: simulation; heterogeneous reservoir; dual-porosity upscaling; horizontal wells; hydraulic fracturing

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APA (6th Edition):

Evazi Yadecuri, M. (2013). Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415

Chicago Manual of Style (16th Edition):

Evazi Yadecuri, Mohammad. “Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415.

MLA Handbook (7th Edition):

Evazi Yadecuri, Mohammad. “Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells.” 2013. Web. 21 Nov 2019.

Vancouver:

Evazi Yadecuri M. Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415.

Council of Science Editors:

Evazi Yadecuri M. Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415


University of Southern California

2. Hernandez-Garcia, Miguel Ricardo. Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models.

Degree: PhD, Civil Engineering, 2014, University of Southern California

 Most of the available data‐based methodologies developed for system identification and health monitoring of complex nonlinear systems can be considered to be deterministic in nature.… (more)

Subjects/Keywords: reduced‐order models; nonlinear systems; structural health monitoring; system identification; uncertainty quantification

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APA (6th Edition):

Hernandez-Garcia, M. R. (2014). Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447047/rec/816

Chicago Manual of Style (16th Edition):

Hernandez-Garcia, Miguel Ricardo. “Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447047/rec/816.

MLA Handbook (7th Edition):

Hernandez-Garcia, Miguel Ricardo. “Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models.” 2014. Web. 21 Nov 2019.

Vancouver:

Hernandez-Garcia MR. Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447047/rec/816.

Council of Science Editors:

Hernandez-Garcia MR. Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/447047/rec/816


University of Southern California

3. Keshavarzzadeh, Vahid. Design optimization under uncertainty for rotor blades of horizontal axis wind turbines.

Degree: PhD, Civil Engineering (Structural Engineering), 2016, University of Southern California

 This dissertation is motivated by challenges involved in the design optimization under uncertainty for the structures undergoing fluid structure interaction phenomena. In particular, this study… (more)

Subjects/Keywords: aerodynamic optimization; blade element method; reliability based design optimization; polynomial chaos expansion; convergence acceleration; stochastic differential equation; nonlinear sequence transformation

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APA (6th Edition):

Keshavarzzadeh, V. (2016). Design optimization under uncertainty for rotor blades of horizontal axis wind turbines. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422612/rec/1869

Chicago Manual of Style (16th Edition):

Keshavarzzadeh, Vahid. “Design optimization under uncertainty for rotor blades of horizontal axis wind turbines.” 2016. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422612/rec/1869.

MLA Handbook (7th Edition):

Keshavarzzadeh, Vahid. “Design optimization under uncertainty for rotor blades of horizontal axis wind turbines.” 2016. Web. 21 Nov 2019.

Vancouver:

Keshavarzzadeh V. Design optimization under uncertainty for rotor blades of horizontal axis wind turbines. [Internet] [Doctoral dissertation]. University of Southern California; 2016. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422612/rec/1869.

Council of Science Editors:

Keshavarzzadeh V. Design optimization under uncertainty for rotor blades of horizontal axis wind turbines. [Doctoral Dissertation]. University of Southern California; 2016. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422612/rec/1869


University of Southern California

4. Peña, Mauricio Eduardo. Quantifying the impact of requirements volatility on systems engineering effort.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Southern California

 Although changes in requirements are expected as part of a system’s development, excessive volatility after the requirements baseline is likely to result in cost overruns… (more)

Subjects/Keywords: systems engineering; requirements volatility; COSYSMO

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APA (6th Edition):

Peña, M. E. (2012). Quantifying the impact of requirements volatility on systems engineering effort. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/52794/rec/5345

Chicago Manual of Style (16th Edition):

Peña, Mauricio Eduardo. “Quantifying the impact of requirements volatility on systems engineering effort.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/52794/rec/5345.

MLA Handbook (7th Edition):

Peña, Mauricio Eduardo. “Quantifying the impact of requirements volatility on systems engineering effort.” 2012. Web. 21 Nov 2019.

Vancouver:

Peña ME. Quantifying the impact of requirements volatility on systems engineering effort. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/52794/rec/5345.

Council of Science Editors:

Peña ME. Quantifying the impact of requirements volatility on systems engineering effort. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/52794/rec/5345


University of Southern California

5. Shojaei, Hasan. Mass transfer during enhanced hydrocarbon recovery by gas injection processes.

Degree: PhD, Petroleum Engineering, 2014, University of Southern California

 In order to estimate the potential incremental hydrocarbon recovery by gas injection, compositional reservoir simulators are commonly used in the industry. Successful design and implementation… (more)

Subjects/Keywords: enhanced oil recovery; CO₂ injection; fractured reservoirs; reservoir simulation; molecular diffusion; dispersion

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APA (6th Edition):

Shojaei, H. (2014). Mass transfer during enhanced hydrocarbon recovery by gas injection processes. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967

Chicago Manual of Style (16th Edition):

Shojaei, Hasan. “Mass transfer during enhanced hydrocarbon recovery by gas injection processes.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967.

MLA Handbook (7th Edition):

Shojaei, Hasan. “Mass transfer during enhanced hydrocarbon recovery by gas injection processes.” 2014. Web. 21 Nov 2019.

Vancouver:

Shojaei H. Mass transfer during enhanced hydrocarbon recovery by gas injection processes. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967.

Council of Science Editors:

Shojaei H. Mass transfer during enhanced hydrocarbon recovery by gas injection processes. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967


University of Southern California

6. Abedi Mashhadi Mighani, Sara. Meso-scale kinematics in shear bands and impact of material heterogeneity on shear band development in sand.

Degree: PhD, Civil Engineering, 2012, University of Southern California

 This study aims to improve our understanding of strain localization in sands from the meso-scale perspective. First, this research contributes to characterizing and quantifying experimentally… (more)

Subjects/Keywords: digital image processing (DIC); force chain; laboratory testing; sand; strain localization; vortex

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APA (6th Edition):

Abedi Mashhadi Mighani, S. (2012). Meso-scale kinematics in shear bands and impact of material heterogeneity on shear band development in sand. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/201224/rec/4044

Chicago Manual of Style (16th Edition):

Abedi Mashhadi Mighani, Sara. “Meso-scale kinematics in shear bands and impact of material heterogeneity on shear band development in sand.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/201224/rec/4044.

MLA Handbook (7th Edition):

Abedi Mashhadi Mighani, Sara. “Meso-scale kinematics in shear bands and impact of material heterogeneity on shear band development in sand.” 2012. Web. 21 Nov 2019.

Vancouver:

Abedi Mashhadi Mighani S. Meso-scale kinematics in shear bands and impact of material heterogeneity on shear band development in sand. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/201224/rec/4044.

Council of Science Editors:

Abedi Mashhadi Mighani S. Meso-scale kinematics in shear bands and impact of material heterogeneity on shear band development in sand. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/201224/rec/4044


University of Southern California

7. Kianercy, Ardeshir. Adaptive agents on evolving network: an evolutionary game theory approach.

Degree: PhD, Mechanical Engineering, 2013, University of Southern California

 We consider the dynamics of Q-learning in two – player two – action games with a Boltzmann exploration mechanism. For any non-zero exploration rate the dynamics is… (more)

Subjects/Keywords: learning in games; evolutionary dynamics; network formation; evolutionary game theory; replicator dynamics; replicator equation; Q-learning; Boltzmann distribution; soft-max learning; phase transition; bifurcation; reinforcement learning; economic network; social network; co-evolutionary dynamics; games on network; free energy minimization; coordination game; homophily; contagion

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APA (6th Edition):

Kianercy, A. (2013). Adaptive agents on evolving network: an evolutionary game theory approach. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243712/rec/511

Chicago Manual of Style (16th Edition):

Kianercy, Ardeshir. “Adaptive agents on evolving network: an evolutionary game theory approach.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243712/rec/511.

MLA Handbook (7th Edition):

Kianercy, Ardeshir. “Adaptive agents on evolving network: an evolutionary game theory approach.” 2013. Web. 21 Nov 2019.

Vancouver:

Kianercy A. Adaptive agents on evolving network: an evolutionary game theory approach. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243712/rec/511.

Council of Science Editors:

Kianercy A. Adaptive agents on evolving network: an evolutionary game theory approach. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243712/rec/511


University of Southern California

8. Zhong, Jie. Second order in time stochastic evolution equations and Wiener chaos approach.

Degree: PhD, Applied Mathematics, 2013, University of Southern California

 This thesis aims to study the well-posedness of second order in time stochastic evolution equations. ❧ Motivated by the well known stochastic parabolicity condition, a… (more)

Subjects/Keywords: second order in time; stochastic evolution equations; Wiener chaos

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APA (6th Edition):

Zhong, J. (2013). Second order in time stochastic evolution equations and Wiener chaos approach. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243955/rec/5731

Chicago Manual of Style (16th Edition):

Zhong, Jie. “Second order in time stochastic evolution equations and Wiener chaos approach.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243955/rec/5731.

MLA Handbook (7th Edition):

Zhong, Jie. “Second order in time stochastic evolution equations and Wiener chaos approach.” 2013. Web. 21 Nov 2019.

Vancouver:

Zhong J. Second order in time stochastic evolution equations and Wiener chaos approach. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243955/rec/5731.

Council of Science Editors:

Zhong J. Second order in time stochastic evolution equations and Wiener chaos approach. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/243955/rec/5731


University of Southern California

9. DeVore, Charles Edward. Damage detection using substructure identification.

Degree: PhD, Civil Engineering (Structural Engineering), 2013, University of Southern California

 As civil infrastructure ages, occupants and users are placed at risk. Due to limited funding, agencies are required to push structures past their original design… (more)

Subjects/Keywords: substructure identification; structural health monitoring; structural control; structural dynamics

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APA (6th Edition):

DeVore, C. E. (2013). Damage detection using substructure identification. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229995/rec/1753

Chicago Manual of Style (16th Edition):

DeVore, Charles Edward. “Damage detection using substructure identification.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229995/rec/1753.

MLA Handbook (7th Edition):

DeVore, Charles Edward. “Damage detection using substructure identification.” 2013. Web. 21 Nov 2019.

Vancouver:

DeVore CE. Damage detection using substructure identification. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229995/rec/1753.

Council of Science Editors:

DeVore CE. Damage detection using substructure identification. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/229995/rec/1753


University of Southern California

10. Haddad Zadegan, Hamed. Data worth analysis in geostatistics and spatial prediction.

Degree: PhD, Civil Engineering, 2015, University of Southern California

 A main challenge in decision making on soil remediation is risk management through acquisition of knowledge using more informative models and data. To demonstrate the… (more)

Subjects/Keywords: geostatistics; Kullback-Leibler divergence; sampling design; soil remediation; value of information

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APA (6th Edition):

Haddad Zadegan, H. (2015). Data worth analysis in geostatistics and spatial prediction. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/280600/rec/1769

Chicago Manual of Style (16th Edition):

Haddad Zadegan, Hamed. “Data worth analysis in geostatistics and spatial prediction.” 2015. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/280600/rec/1769.

MLA Handbook (7th Edition):

Haddad Zadegan, Hamed. “Data worth analysis in geostatistics and spatial prediction.” 2015. Web. 21 Nov 2019.

Vancouver:

Haddad Zadegan H. Data worth analysis in geostatistics and spatial prediction. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/280600/rec/1769.

Council of Science Editors:

Haddad Zadegan H. Data worth analysis in geostatistics and spatial prediction. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/280600/rec/1769


University of Southern California

11. Kaligotla, Sivaditya. Asymptotic problems in stochastic partial differential equations: a Wiener chaos approach.

Degree: PhD, Applied Mathematics, 2012, University of Southern California

 It has been known for a while that certain non-linear as well as bilinear stochastic partial differential equations driven by a singular noise must be… (more)

Subjects/Keywords: stochastic; pde; spde; wiener chaos; wce; burgers equation; wick; kondratiev; generalized random elements

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APA (6th Edition):

Kaligotla, S. (2012). Asymptotic problems in stochastic partial differential equations: a Wiener chaos approach. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/28303/rec/977

Chicago Manual of Style (16th Edition):

Kaligotla, Sivaditya. “Asymptotic problems in stochastic partial differential equations: a Wiener chaos approach.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/28303/rec/977.

MLA Handbook (7th Edition):

Kaligotla, Sivaditya. “Asymptotic problems in stochastic partial differential equations: a Wiener chaos approach.” 2012. Web. 21 Nov 2019.

Vancouver:

Kaligotla S. Asymptotic problems in stochastic partial differential equations: a Wiener chaos approach. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/28303/rec/977.

Council of Science Editors:

Kaligotla S. Asymptotic problems in stochastic partial differential equations: a Wiener chaos approach. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/28303/rec/977


University of Southern California

12. Mason, Jeremy. A stochastic Markov chain model to describe cancer metastasis.

Degree: PhD, Mechanical Engineering, 2013, University of Southern California

 A stochastic Markov chain model for metastatic progression is developed for primary 8 major cancer types based on a network construction of metastatic sites with… (more)

Subjects/Keywords: cancer; metastasis; Markov chain

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APA (6th Edition):

Mason, J. (2013). A stochastic Markov chain model to describe cancer metastasis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/331809/rec/372

Chicago Manual of Style (16th Edition):

Mason, Jeremy. “A stochastic Markov chain model to describe cancer metastasis.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/331809/rec/372.

MLA Handbook (7th Edition):

Mason, Jeremy. “A stochastic Markov chain model to describe cancer metastasis.” 2013. Web. 21 Nov 2019.

Vancouver:

Mason J. A stochastic Markov chain model to describe cancer metastasis. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/331809/rec/372.

Council of Science Editors:

Mason J. A stochastic Markov chain model to describe cancer metastasis. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/331809/rec/372


University of Southern California

13. Li, Weixuan. Inverse modeling and uncertainty quantification of nonlinear flow in porous media models.

Degree: PhD, Civil Engineering, 2014, University of Southern California

 When using computer models to predict flow in porous media, it is necessary to set parameter values that correctly characterize the geological properties like permeability… (more)

Subjects/Keywords: flow in porous media; uncertainty quantification; nonlinear and probabilistic inverse modeling

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APA (6th Edition):

Li, W. (2014). Inverse modeling and uncertainty quantification of nonlinear flow in porous media models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613

Chicago Manual of Style (16th Edition):

Li, Weixuan. “Inverse modeling and uncertainty quantification of nonlinear flow in porous media models.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613.

MLA Handbook (7th Edition):

Li, Weixuan. “Inverse modeling and uncertainty quantification of nonlinear flow in porous media models.” 2014. Web. 21 Nov 2019.

Vancouver:

Li W. Inverse modeling and uncertainty quantification of nonlinear flow in porous media models. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613.

Council of Science Editors:

Li W. Inverse modeling and uncertainty quantification of nonlinear flow in porous media models. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366536/rec/3613


University of Southern California

14. Bolourchi Yazdi, Seyed Ali. Studies into computational intelligence approaches for the identification of complex nonlinear systems.

Degree: PhD, Civil Engineering (Structural Engineering), 2016, University of Southern California

 This study builds on major advances in the field of Computational Intelligence to develop a state‐of‐the‐art data‐driven methodology that provides parsimonious optimized computational models in… (more)

Subjects/Keywords: computational intelligence; evolutionary computation; large volume of data; genetic programming; expression trees; genetic algorithms; computer algebra; nonlinear systems; hysteretic systems; human spine; differential equations; parsimonious models; system identification; intelligent selection; dimensionality reduction; experimental data

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APA (6th Edition):

Bolourchi Yazdi, S. A. (2016). Studies into computational intelligence approaches for the identification of complex nonlinear systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/386427/rec/6151

Chicago Manual of Style (16th Edition):

Bolourchi Yazdi, Seyed Ali. “Studies into computational intelligence approaches for the identification of complex nonlinear systems.” 2016. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/386427/rec/6151.

MLA Handbook (7th Edition):

Bolourchi Yazdi, Seyed Ali. “Studies into computational intelligence approaches for the identification of complex nonlinear systems.” 2016. Web. 21 Nov 2019.

Vancouver:

Bolourchi Yazdi SA. Studies into computational intelligence approaches for the identification of complex nonlinear systems. [Internet] [Doctoral dissertation]. University of Southern California; 2016. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/386427/rec/6151.

Council of Science Editors:

Bolourchi Yazdi SA. Studies into computational intelligence approaches for the identification of complex nonlinear systems. [Doctoral Dissertation]. University of Southern California; 2016. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/386427/rec/6151


University of Southern California

15. Jafarkhani, Reza. Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures.

Degree: PhD, Civil Engineering (Structural Engineering), 2013, University of Southern California

 Civil infrastructures play a vital role in human societies. Recent catastrophic events due to the deficiency, failure or malfunction of these systems, claiming many lives… (more)

Subjects/Keywords: structural dynamics; system identification; damage detection; nonlinear systems; finite element model updating; optimization; neural networks

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APA (6th Edition):

Jafarkhani, R. (2013). Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153

Chicago Manual of Style (16th Edition):

Jafarkhani, Reza. “Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153.

MLA Handbook (7th Edition):

Jafarkhani, Reza. “Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures.” 2013. Web. 21 Nov 2019.

Vancouver:

Jafarkhani R. Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153.

Council of Science Editors:

Jafarkhani R. Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153


University of Southern California

16. Lakeland, Daniel L. Continuum modeling techniques and their application to the physics of soil liquefaction and dissipative vibrations.

Degree: PhD, Civil Engineering, 2014, University of Southern California

 The research in this dissertation encompasses four main thrusts: mathematical modeling techniques for building continuum models of systems that are explicitly acknowledged to be non-continuous… (more)

Subjects/Keywords: soil liquefaction; energy dissipation; vibrations; continuum models; nonstandard analysis; statistical mechanics; Bayesian statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lakeland, D. L. (2014). Continuum modeling techniques and their application to the physics of soil liquefaction and dissipative vibrations. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346615/rec/1627

Chicago Manual of Style (16th Edition):

Lakeland, Daniel L. “Continuum modeling techniques and their application to the physics of soil liquefaction and dissipative vibrations.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346615/rec/1627.

MLA Handbook (7th Edition):

Lakeland, Daniel L. “Continuum modeling techniques and their application to the physics of soil liquefaction and dissipative vibrations.” 2014. Web. 21 Nov 2019.

Vancouver:

Lakeland DL. Continuum modeling techniques and their application to the physics of soil liquefaction and dissipative vibrations. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346615/rec/1627.

Council of Science Editors:

Lakeland DL. Continuum modeling techniques and their application to the physics of soil liquefaction and dissipative vibrations. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/346615/rec/1627


University of Southern California

17. Comboul, Maud. Stochastic and multiscale models for urban and natural ecology.

Degree: PhD, Civil Engineering (Environmental Engineering), 2012, University of Southern California

 This research reflects on both particular cases of ecologies: sensor networks in urban water distribution systems and forest dynamics under changing disturbance regime, and the… (more)

Subjects/Keywords: stochastic optimization; greedy algorithm; sensor network; Monte Carlo simulations agent-based model; Markov dynamics; multiscale dynamics; forest dynamics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Comboul, M. (2012). Stochastic and multiscale models for urban and natural ecology. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/72481/rec/6062

Chicago Manual of Style (16th Edition):

Comboul, Maud. “Stochastic and multiscale models for urban and natural ecology.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/72481/rec/6062.

MLA Handbook (7th Edition):

Comboul, Maud. “Stochastic and multiscale models for urban and natural ecology.” 2012. Web. 21 Nov 2019.

Vancouver:

Comboul M. Stochastic and multiscale models for urban and natural ecology. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/72481/rec/6062.

Council of Science Editors:

Comboul M. Stochastic and multiscale models for urban and natural ecology. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/72481/rec/6062


University of Southern California

18. Meidani, Hadi. Uncertainty management for complex systems of systems: applications to the future smart grid.

Degree: PhD, Civil Engineering, 2014, University of Southern California

 Today, many of the infrastructures are composed of several coupled sub-systems, many of which are by themselves complex, and further couplings introduce yet more complexities… (more)

Subjects/Keywords: uncertainty quantification; Markov chains; random eigenvalue problem; maximum entropy; consensus problem; systems of systems; robust decision making; smart grid; structural dynamics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Meidani, H. (2014). Uncertainty management for complex systems of systems: applications to the future smart grid. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/94167/rec/7655

Chicago Manual of Style (16th Edition):

Meidani, Hadi. “Uncertainty management for complex systems of systems: applications to the future smart grid.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/94167/rec/7655.

MLA Handbook (7th Edition):

Meidani, Hadi. “Uncertainty management for complex systems of systems: applications to the future smart grid.” 2014. Web. 21 Nov 2019.

Vancouver:

Meidani H. Uncertainty management for complex systems of systems: applications to the future smart grid. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/94167/rec/7655.

Council of Science Editors:

Meidani H. Uncertainty management for complex systems of systems: applications to the future smart grid. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/94167/rec/7655


University of Southern California

19. Liao, Qinzhuo. Uncertainty quantification and data assimilation via transform process for strongly nonlinear problems.

Degree: PhD, Petroleum Engineering, 9, University of Southern California

 Based on the polynomial approximation, the traditional probabilistic collocation method (PCM) approximates the model output response, which is a function of the random input parameter,… (more)

Subjects/Keywords: uncertainty quantification; data assimilation; transform process; strongly nonlinear problems; collocation method; ensemble Kalman filter

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liao, Q. (9). Uncertainty quantification and data assimilation via transform process for strongly nonlinear problems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/469693/rec/7656

Chicago Manual of Style (16th Edition):

Liao, Qinzhuo. “Uncertainty quantification and data assimilation via transform process for strongly nonlinear problems.” 9. Doctoral Dissertation, University of Southern California. Accessed November 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/469693/rec/7656.

MLA Handbook (7th Edition):

Liao, Qinzhuo. “Uncertainty quantification and data assimilation via transform process for strongly nonlinear problems.” 9. Web. 21 Nov 2019.

Vancouver:

Liao Q. Uncertainty quantification and data assimilation via transform process for strongly nonlinear problems. [Internet] [Doctoral dissertation]. University of Southern California; 9. [cited 2019 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/469693/rec/7656.

Council of Science Editors:

Liao Q. Uncertainty quantification and data assimilation via transform process for strongly nonlinear problems. [Doctoral Dissertation]. University of Southern California; 9. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/469693/rec/7656

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