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You searched for +publisher:"Virginia Tech" +contributor:("Cao, Yang"). Showing records 1 – 30 of 44 total matches.

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Virginia Tech

1. Peng, Bo. Applying the Newmark Method to the Discontinuous Deformation Analysis.

Degree: MS, Computer Science, 2014, Virginia Tech

 Discontinuous deformation analysis (DDA) is a newly developed simulation method for discontinuous systems. It was designed to simulate systems with arbitrary shaped blocks with high… (more)

Subjects/Keywords: Discontinuous deformation analysis; the Newmark method; damping effects; energy dissipation

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APA (6th Edition):

Peng, B. (2014). Applying the Newmark Method to the Discontinuous Deformation Analysis. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51092

Chicago Manual of Style (16th Edition):

Peng, Bo. “Applying the Newmark Method to the Discontinuous Deformation Analysis.” 2014. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/51092.

MLA Handbook (7th Edition):

Peng, Bo. “Applying the Newmark Method to the Discontinuous Deformation Analysis.” 2014. Web. 07 Dec 2019.

Vancouver:

Peng B. Applying the Newmark Method to the Discontinuous Deformation Analysis. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/51092.

Council of Science Editors:

Peng B. Applying the Newmark Method to the Discontinuous Deformation Analysis. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/51092


Virginia Tech

2. Cui, Jing. Visualization of the Budding Yeast Cell Cycle.

Degree: MS, Computer Science, 2017, Virginia Tech

 The cell cycle of budding yeast is controlled by a complex chemically reacting network. Many mathematical models have been proposed to unravel its molecular mechanism.… (more)

Subjects/Keywords: Budding yeast cell cycle; Deterministic model; MUTANTS; HYBRID MODEL; VISUALIZATION

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APA (6th Edition):

Cui, J. (2017). Visualization of the Budding Yeast Cell Cycle. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78815

Chicago Manual of Style (16th Edition):

Cui, Jing. “Visualization of the Budding Yeast Cell Cycle.” 2017. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/78815.

MLA Handbook (7th Edition):

Cui, Jing. “Visualization of the Budding Yeast Cell Cycle.” 2017. Web. 07 Dec 2019.

Vancouver:

Cui J. Visualization of the Budding Yeast Cell Cycle. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/78815.

Council of Science Editors:

Cui J. Visualization of the Budding Yeast Cell Cycle. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78815


Virginia Tech

3. D'Augustine, Anthony Frank. MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox.

Degree: MS, Computer Science, 2018, Virginia Tech

 Sensitivity analysis quantifies the effect that of perturbations of the model inputs have on the model's outputs. Some of the key insights gained using sensitivity… (more)

Subjects/Keywords: ODE Solver; Tangent Linear Model; Adjoint Model; Sensitivity Analysis; Software

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APA (6th Edition):

D'Augustine, A. F. (2018). MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83081

Chicago Manual of Style (16th Edition):

D'Augustine, Anthony Frank. “MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox.” 2018. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/83081.

MLA Handbook (7th Edition):

D'Augustine, Anthony Frank. “MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox.” 2018. Web. 07 Dec 2019.

Vancouver:

D'Augustine AF. MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/83081.

Council of Science Editors:

D'Augustine AF. MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83081


Virginia Tech

4. Subramanian, Kartik. Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus.

Degree: PhD, Animal and Poultry Sciences, 2014, Virginia Tech

 The life cycle of Caulobacter crescentus is of interest because of the asymmetric nature of cell division that gives rise to progeny that have distinct… (more)

Subjects/Keywords: Mathematical modeling; Caulobacter cell cycle; protein regulatory networks; reaction-diffusion models

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APA (6th Edition):

Subramanian, K. (2014). Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/65156

Chicago Manual of Style (16th Edition):

Subramanian, Kartik. “Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus.” 2014. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/65156.

MLA Handbook (7th Edition):

Subramanian, Kartik. “Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus.” 2014. Web. 07 Dec 2019.

Vancouver:

Subramanian K. Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/65156.

Council of Science Editors:

Subramanian K. Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/65156


Virginia Tech

5. Wu, Zhanghan. Understanding molecular and cellular processes using statistical physics.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2011, Virginia Tech

 Using statistical physics principles to solve problems in biology is one of the most promising directions due to the complexity and non-equilibrium fluctuations in biological… (more)

Subjects/Keywords: Microtubule Dynamics; Mathematical Modeling; Enzyme Conformational Changes; Single Molecular Fluctuations

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APA (6th Edition):

Wu, Z. (2011). Understanding molecular and cellular processes using statistical physics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27745

Chicago Manual of Style (16th Edition):

Wu, Zhanghan. “Understanding molecular and cellular processes using statistical physics.” 2011. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/27745.

MLA Handbook (7th Edition):

Wu, Zhanghan. “Understanding molecular and cellular processes using statistical physics.” 2011. Web. 07 Dec 2019.

Vancouver:

Wu Z. Understanding molecular and cellular processes using statistical physics. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/27745.

Council of Science Editors:

Wu Z. Understanding molecular and cellular processes using statistical physics. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/27745


Virginia Tech

6. Cunningham, Bryan. Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments.

Degree: MS, Computer Science and Applications, 2012, Virginia Tech

 Past research on multi-agent simulation with cooperative reinforcement learning (RL) for homogeneous agents focuses on developing sharing strategies that are adopted and used by all… (more)

Subjects/Keywords: Information Exchanges in Multi-Agent Systems; Multi-Agent Reinforcement Learning; Agent Interaction Protocols; Cooperative Learning

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APA (6th Edition):

Cunningham, B. (2012). Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/34610

Chicago Manual of Style (16th Edition):

Cunningham, Bryan. “Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments.” 2012. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/34610.

MLA Handbook (7th Edition):

Cunningham, Bryan. “Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments.” 2012. Web. 07 Dec 2019.

Vancouver:

Cunningham B. Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/34610.

Council of Science Editors:

Cunningham B. Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/34610


Virginia Tech

7. Gou, Tianyi. Computational Tools for Chemical Data Assimilation with CMAQ.

Degree: MS, Computer Science, 2010, Virginia Tech

 The Community Multiscale Air Quality (CMAQ) system is the Environmental Protection Agency's main modeling tool for atmospheric pollution studies. CMAQ-ADJ, the adjoint model of CMAQ,… (more)

Subjects/Keywords: Data Assimilation; Chemical Transport Models; Adjoint Sensitivity Analysis

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APA (6th Edition):

Gou, T. (2010). Computational Tools for Chemical Data Assimilation with CMAQ. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31017

Chicago Manual of Style (16th Edition):

Gou, Tianyi. “Computational Tools for Chemical Data Assimilation with CMAQ.” 2010. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/31017.

MLA Handbook (7th Edition):

Gou, Tianyi. “Computational Tools for Chemical Data Assimilation with CMAQ.” 2010. Web. 07 Dec 2019.

Vancouver:

Gou T. Computational Tools for Chemical Data Assimilation with CMAQ. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/31017.

Council of Science Editors:

Gou T. Computational Tools for Chemical Data Assimilation with CMAQ. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/31017


Virginia Tech

8. Gao, Guangyue. A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii.

Degree: MS, Computer Science, 2016, Virginia Tech

 Toxoplasma gondii (T. gondii) is an intracellular protozoan parasite. The parasite can infect all warm-blooded vertebrates. Up to 30% of the world's human population carry… (more)

Subjects/Keywords: Gillespie Algorithm; Toxoplasma Gondii; Finite Difference Method; Transmission Dynamics; Compartment-Based Model; Stochastic Simulation

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APA (6th Edition):

Gao, G. (2016). A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78106

Chicago Manual of Style (16th Edition):

Gao, Guangyue. “A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii.” 2016. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/78106.

MLA Handbook (7th Edition):

Gao, Guangyue. “A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii.” 2016. Web. 07 Dec 2019.

Vancouver:

Gao G. A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/78106.

Council of Science Editors:

Gao G. A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/78106


Virginia Tech

9. He, Bin. A Machine Learning Approach for Data Unification and Its Application in Asset Performance Management.

Degree: MS, Computer Science and Applications, 2016, Virginia Tech

 The amount of data is growing fast with the advance of data capturing and management technologies. However, data from different source are often isolated and… (more)

Subjects/Keywords: Machine Learning; Predictive Modeling; Artificial Intelligence; Asset Performance Management

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APA (6th Edition):

He, B. (2016). A Machine Learning Approach for Data Unification and Its Application in Asset Performance Management. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79141

Chicago Manual of Style (16th Edition):

He, Bin. “A Machine Learning Approach for Data Unification and Its Application in Asset Performance Management.” 2016. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/79141.

MLA Handbook (7th Edition):

He, Bin. “A Machine Learning Approach for Data Unification and Its Application in Asset Performance Management.” 2016. Web. 07 Dec 2019.

Vancouver:

He B. A Machine Learning Approach for Data Unification and Its Application in Asset Performance Management. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/79141.

Council of Science Editors:

He B. A Machine Learning Approach for Data Unification and Its Application in Asset Performance Management. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/79141


Virginia Tech

10. Mobassera, Umme Juka. Extending Regulatory Network Modeling with Multistate Species.

Degree: MS, Computer Science, 2011, Virginia Tech

 By increasing the level of abstraction in the representation of regulatory network models, we can hope to allow modelers to create models that are beyond… (more)

Subjects/Keywords: Modeling Tool; Software; JigCell; Computational Systems Biology; Multistate Species; SBML; Rule Based Modeling

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APA (6th Edition):

Mobassera, U. J. (2011). Extending Regulatory Network Modeling with Multistate Species. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35594

Chicago Manual of Style (16th Edition):

Mobassera, Umme Juka. “Extending Regulatory Network Modeling with Multistate Species.” 2011. Masters Thesis, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/35594.

MLA Handbook (7th Edition):

Mobassera, Umme Juka. “Extending Regulatory Network Modeling with Multistate Species.” 2011. Web. 07 Dec 2019.

Vancouver:

Mobassera UJ. Extending Regulatory Network Modeling with Multistate Species. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/35594.

Council of Science Editors:

Mobassera UJ. Extending Regulatory Network Modeling with Multistate Species. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/35594


Virginia Tech

11. Tranquilli, Paul J. Lightly-Implicit Methods for the Time Integration of Large Applications.

Degree: PhD, Computer Science, 2016, Virginia Tech

 Many scientific and engineering applications require the solution of large systems of initial value problems arising from method of lines discretization of partial differential equations.… (more)

Subjects/Keywords: Time Integration; Numerical PDEs; Numerical ODEs

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APA (6th Edition):

Tranquilli, P. J. (2016). Lightly-Implicit Methods for the Time Integration of Large Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81974

Chicago Manual of Style (16th Edition):

Tranquilli, Paul J. “Lightly-Implicit Methods for the Time Integration of Large Applications.” 2016. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/81974.

MLA Handbook (7th Edition):

Tranquilli, Paul J. “Lightly-Implicit Methods for the Time Integration of Large Applications.” 2016. Web. 07 Dec 2019.

Vancouver:

Tranquilli PJ. Lightly-Implicit Methods for the Time Integration of Large Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/81974.

Council of Science Editors:

Tranquilli PJ. Lightly-Implicit Methods for the Time Integration of Large Applications. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81974


Virginia Tech

12. Wang, Shuo. Analysis and Application of Haseltine and Rawlings's Hybrid Stochastic Simulation Algorithm.

Degree: PhD, Computer Science, 2016, Virginia Tech

 Stochastic effects in cellular systems are usually modeled and simulated with Gillespie's stochastic simulation algorithm (SSA), which follows the same theoretical derivation as the chemical… (more)

Subjects/Keywords: hybrid stochastic simulation algorithm; linear chain reaction system; ordinary differential equation; cell cycle model

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APA (6th Edition):

Wang, S. (2016). Analysis and Application of Haseltine and Rawlings's Hybrid Stochastic Simulation Algorithm. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82717

Chicago Manual of Style (16th Edition):

Wang, Shuo. “Analysis and Application of Haseltine and Rawlings's Hybrid Stochastic Simulation Algorithm.” 2016. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/82717.

MLA Handbook (7th Edition):

Wang, Shuo. “Analysis and Application of Haseltine and Rawlings's Hybrid Stochastic Simulation Algorithm.” 2016. Web. 07 Dec 2019.

Vancouver:

Wang S. Analysis and Application of Haseltine and Rawlings's Hybrid Stochastic Simulation Algorithm. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/82717.

Council of Science Editors:

Wang S. Analysis and Application of Haseltine and Rawlings's Hybrid Stochastic Simulation Algorithm. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/82717


Virginia Tech

13. Aguilar Huacan, Boris Abner. Improving of the accuracy and efficiency of implicit solvent models in Biomolecular Modeling.

Degree: PhD, Computer Science, 2014, Virginia Tech

 Biomolecular Modeling is playing an important role in many practical applications such as biotechnology and structure-based drug design. One of the essential requirements of Biomolecular… (more)

Subjects/Keywords: Molecular Modeling; Implicit solvents; Generalized Born Model

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APA (6th Edition):

Aguilar Huacan, B. A. (2014). Improving of the accuracy and efficiency of implicit solvent models in Biomolecular Modeling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64409

Chicago Manual of Style (16th Edition):

Aguilar Huacan, Boris Abner. “Improving of the accuracy and efficiency of implicit solvent models in Biomolecular Modeling.” 2014. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/64409.

MLA Handbook (7th Edition):

Aguilar Huacan, Boris Abner. “Improving of the accuracy and efficiency of implicit solvent models in Biomolecular Modeling.” 2014. Web. 07 Dec 2019.

Vancouver:

Aguilar Huacan BA. Improving of the accuracy and efficiency of implicit solvent models in Biomolecular Modeling. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/64409.

Council of Science Editors:

Aguilar Huacan BA. Improving of the accuracy and efficiency of implicit solvent models in Biomolecular Modeling. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64409


Virginia Tech

14. Nino Ruiz, Elias David. Efficient formulation and implementation of ensemble based methods in data assimilation.

Degree: PhD, Computer Science, 2016, Virginia Tech

 Ensemble-based methods have gained widespread popularity in the field of data assimilation. An ensemble of model realizations encapsulates information about the error correlations driven by… (more)

Subjects/Keywords: Ensemble-based methods; ensemble Kalman filter; ensemble square root filter; hybrid data assimilation; background error covariance matrix estimation; parallel data assimilation

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APA (6th Edition):

Nino Ruiz, E. D. (2016). Efficient formulation and implementation of ensemble based methods in data assimilation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64438

Chicago Manual of Style (16th Edition):

Nino Ruiz, Elias David. “Efficient formulation and implementation of ensemble based methods in data assimilation.” 2016. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/64438.

MLA Handbook (7th Edition):

Nino Ruiz, Elias David. “Efficient formulation and implementation of ensemble based methods in data assimilation.” 2016. Web. 07 Dec 2019.

Vancouver:

Nino Ruiz ED. Efficient formulation and implementation of ensemble based methods in data assimilation. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/64438.

Council of Science Editors:

Nino Ruiz ED. Efficient formulation and implementation of ensemble based methods in data assimilation. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64438


Virginia Tech

15. Zhang, Jingyao. Hardware-Software Co-Design for Sensor Nodes in Wireless Networks.

Degree: PhD, Electrical and Computer Engineering, 2013, Virginia Tech

 Simulators are important tools for analyzing and evaluating different design options for wireless sensor networks (sensornets) and hence, have been intensively studied in the past… (more)

Subjects/Keywords: Sensor networks; multiprocessor sensor node; FPGA; simulator; hardware-software co-design; power/energy estimation; testbeds

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APA (6th Edition):

Zhang, J. (2013). Hardware-Software Co-Design for Sensor Nodes in Wireless Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50972

Chicago Manual of Style (16th Edition):

Zhang, Jingyao. “Hardware-Software Co-Design for Sensor Nodes in Wireless Networks.” 2013. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/50972.

MLA Handbook (7th Edition):

Zhang, Jingyao. “Hardware-Software Co-Design for Sensor Nodes in Wireless Networks.” 2013. Web. 07 Dec 2019.

Vancouver:

Zhang J. Hardware-Software Co-Design for Sensor Nodes in Wireless Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/50972.

Council of Science Editors:

Zhang J. Hardware-Software Co-Design for Sensor Nodes in Wireless Networks. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/50972


Virginia Tech

16. Patnaik, Debprakash. Multiple Uses of Frequent Episodes in Temporal Process Modeling.

Degree: PhD, Computer Science, 2011, Virginia Tech

 This dissertation investigates algorithmic techniques for temporal process discovery in many domains. Many different formalisms have been proposed for modeling temporal processes such as motifs,… (more)

Subjects/Keywords: motifs; graphical models; frequent episodes; dynamic Bayesian networks; temporal data mining

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APA (6th Edition):

Patnaik, D. (2011). Multiple Uses of Frequent Episodes in Temporal Process Modeling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28413

Chicago Manual of Style (16th Edition):

Patnaik, Debprakash. “Multiple Uses of Frequent Episodes in Temporal Process Modeling.” 2011. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/28413.

MLA Handbook (7th Edition):

Patnaik, Debprakash. “Multiple Uses of Frequent Episodes in Temporal Process Modeling.” 2011. Web. 07 Dec 2019.

Vancouver:

Patnaik D. Multiple Uses of Frequent Episodes in Temporal Process Modeling. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/28413.

Council of Science Editors:

Patnaik D. Multiple Uses of Frequent Episodes in Temporal Process Modeling. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/28413


Virginia Tech

17. Fang, Bing. A Framework for Human Body Tracking Using an Agent-based Architecture.

Degree: PhD, Computer Science, 2011, Virginia Tech

 The purpose of this dissertation is to present our agent-based human tracking framework, and to evaluate the results of our work in light of the… (more)

Subjects/Keywords: computer vision; agent-based; human tracking

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APA (6th Edition):

Fang, B. (2011). A Framework for Human Body Tracking Using an Agent-based Architecture. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77135

Chicago Manual of Style (16th Edition):

Fang, Bing. “A Framework for Human Body Tracking Using an Agent-based Architecture.” 2011. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/77135.

MLA Handbook (7th Edition):

Fang, Bing. “A Framework for Human Body Tracking Using an Agent-based Architecture.” 2011. Web. 07 Dec 2019.

Vancouver:

Fang B. A Framework for Human Body Tracking Using an Agent-based Architecture. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/77135.

Council of Science Editors:

Fang B. A Framework for Human Body Tracking Using an Agent-based Architecture. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/77135


Virginia Tech

18. Liu, Zhen. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.

Degree: PhD, Computer Science, 2012, Virginia Tech

 In this thesis we study stochastic modeling and simulation methods for biochemical systems. The thesis is focused on systems with multi-state and multi-scale features and… (more)

Subjects/Keywords: SSA; Stochsim; rule-based modeling; QSSA; hybrid method

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APA (6th Edition):

Liu, Z. (2012). Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19191

Chicago Manual of Style (16th Edition):

Liu, Zhen. “Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.” 2012. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/19191.

MLA Handbook (7th Edition):

Liu, Zhen. “Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.” 2012. Web. 07 Dec 2019.

Vancouver:

Liu Z. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/19191.

Council of Science Editors:

Liu Z. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/19191


Virginia Tech

19. Cho, Yong Ju. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.

Degree: PhD, Computer Science, 2013, Virginia Tech

 Recent advances in systems biology have uncovered detailed mechanisms of  biological processes such as the cell cycle, circadian rhythms,  and signaling pathways.  These mechanisms are… (more)

Subjects/Keywords: Chemical reaction networks; bistability; data mining; time series modeling

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APA (6th Edition):

Cho, Y. J. (2013). Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19244

Chicago Manual of Style (16th Edition):

Cho, Yong Ju. “Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.” 2013. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/19244.

MLA Handbook (7th Edition):

Cho, Yong Ju. “Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.” 2013. Web. 07 Dec 2019.

Vancouver:

Cho YJ. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/19244.

Council of Science Editors:

Cho YJ. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19244


Virginia Tech

20. Arendt, Dustin Lockhart. In Search of Self-Organization.

Degree: PhD, Computer Science and Applications, 2012, Virginia Tech

 Many who study complex systems believe that the complexity we observe in the world around us is frequently the product of a large number of… (more)

Subjects/Keywords: Dimer Automata; Self-Organization; GPGPU; Complex Systems

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APA (6th Edition):

Arendt, D. L. (2012). In Search of Self-Organization. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26465

Chicago Manual of Style (16th Edition):

Arendt, Dustin Lockhart. “In Search of Self-Organization.” 2012. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/26465.

MLA Handbook (7th Edition):

Arendt, Dustin Lockhart. “In Search of Self-Organization.” 2012. Web. 07 Dec 2019.

Vancouver:

Arendt DL. In Search of Self-Organization. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/26465.

Council of Science Editors:

Arendt DL. In Search of Self-Organization. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/26465


Virginia Tech

21. Jin, Fang. Algorithms for Modeling Mass Movements and their Adoption in Social Networks.

Degree: PhD, Computer Science, 2016, Virginia Tech

 Online social networks have become a staging ground for many modern movements, with the Arab Spring being the most prominent example. In an effort to… (more)

Subjects/Keywords: Mass Movements; Group Anomalies; Event Detection; Information Propagation; Social Networks

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APA (6th Edition):

Jin, F. (2016). Algorithms for Modeling Mass Movements and their Adoption in Social Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/72292

Chicago Manual of Style (16th Edition):

Jin, Fang. “Algorithms for Modeling Mass Movements and their Adoption in Social Networks.” 2016. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/72292.

MLA Handbook (7th Edition):

Jin, Fang. “Algorithms for Modeling Mass Movements and their Adoption in Social Networks.” 2016. Web. 07 Dec 2019.

Vancouver:

Jin F. Algorithms for Modeling Mass Movements and their Adoption in Social Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/72292.

Council of Science Editors:

Jin F. Algorithms for Modeling Mass Movements and their Adoption in Social Networks. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/72292


Virginia Tech

22. Hebbur Venkata Subba Rao, Vishwas. Adjoint based solution and uncertainty quantification techniques for variational inverse problems.

Degree: PhD, Computer Science, 2015, Virginia Tech

 Variational inverse problems integrate computational simulations of physical phenomena with physical measurements in an informational feedback control system. Control parameters of the computational model are… (more)

Subjects/Keywords: Data assimilation; Inverse problems; sensitivity analysis

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APA (6th Edition):

Hebbur Venkata Subba Rao, V. (2015). Adjoint based solution and uncertainty quantification techniques for variational inverse problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76665

Chicago Manual of Style (16th Edition):

Hebbur Venkata Subba Rao, Vishwas. “Adjoint based solution and uncertainty quantification techniques for variational inverse problems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/76665.

MLA Handbook (7th Edition):

Hebbur Venkata Subba Rao, Vishwas. “Adjoint based solution and uncertainty quantification techniques for variational inverse problems.” 2015. Web. 07 Dec 2019.

Vancouver:

Hebbur Venkata Subba Rao V. Adjoint based solution and uncertainty quantification techniques for variational inverse problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/76665.

Council of Science Editors:

Hebbur Venkata Subba Rao V. Adjoint based solution and uncertainty quantification techniques for variational inverse problems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/76665


Virginia Tech

23. Alexe, Mihai. Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems.

Degree: PhD, Computer Science, 2011, Virginia Tech

 Adaptivity in both space and time has become the norm for solving problems modeled by partial differential equations. The size of the discretized problem makes… (more)

Subjects/Keywords: Inverse problems; Adjoint Method; Adaptive Mesh Refinement; Automatic Differentiation

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APA (6th Edition):

Alexe, M. (2011). Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37515

Chicago Manual of Style (16th Edition):

Alexe, Mihai. “Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems.” 2011. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/37515.

MLA Handbook (7th Edition):

Alexe, Mihai. “Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems.” 2011. Web. 07 Dec 2019.

Vancouver:

Alexe M. Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/37515.

Council of Science Editors:

Alexe M. Adjoint-based space-time adaptive solution algorithms for sensitivity analysis and inverse problems. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/37515


Virginia Tech

24. Singhania, Rajat. Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2011, Virginia Tech

 Protein regulatory networks are the hallmark of many important biological functionalities. Two of these functionalities are mammalian cell cycle progression and near-perfect adaptive responses. Modeling… (more)

Subjects/Keywords: adaptation; motifs; cell cycle regulation; mathematical modeling

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APA (6th Edition):

Singhania, R. (2011). Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37722

Chicago Manual of Style (16th Edition):

Singhania, Rajat. “Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses.” 2011. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/37722.

MLA Handbook (7th Edition):

Singhania, Rajat. “Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses.” 2011. Web. 07 Dec 2019.

Vancouver:

Singhania R. Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/37722.

Council of Science Editors:

Singhania R. Modeling Protein Regulatory Networks that Control Mammalian Cell Cycle Progression and that Exhibit Near-Perfect Adaptive Responses. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/37722


Virginia Tech

25. Park, Seung In. Modeling Social Group Interactions for Realistic Crowd Behaviors.

Degree: PhD, Computer Science, 2013, Virginia Tech

 In the simulation of human crowd behavior including evacuation planning, transportation management, and safety engineering in architecture design, the development of pedestrian model for higher… (more)

Subjects/Keywords: Crowd simulation; Group modeling; Social behavior simulation; Multi-agent system; Common ground theory

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APA (6th Edition):

Park, S. I. (2013). Modeling Social Group Interactions for Realistic Crowd Behaviors. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19297

Chicago Manual of Style (16th Edition):

Park, Seung In. “Modeling Social Group Interactions for Realistic Crowd Behaviors.” 2013. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/19297.

MLA Handbook (7th Edition):

Park, Seung In. “Modeling Social Group Interactions for Realistic Crowd Behaviors.” 2013. Web. 07 Dec 2019.

Vancouver:

Park SI. Modeling Social Group Interactions for Realistic Crowd Behaviors. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/19297.

Council of Science Editors:

Park SI. Modeling Social Group Interactions for Realistic Crowd Behaviors. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19297

26. Attia, Ahmed Mohamed Mohamed. Advanced Sampling Methods for Solving Large-Scale Inverse Problems.

Degree: PhD, Computer Science and Applications, 2016, Virginia Tech

 Ensemble and variational techniques have gained wide popularity as the two main approaches for solving data assimilation and inverse problems. The majority of the methods… (more)

Subjects/Keywords: Data Assimilation; Inverse Problems; Uncertainty Quantification; Hamiltonian Monte-Carlo; Cluster Sampling Filters; High Performance Computing.

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APA (6th Edition):

Attia, A. M. M. (2016). Advanced Sampling Methods for Solving Large-Scale Inverse Problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73683

Chicago Manual of Style (16th Edition):

Attia, Ahmed Mohamed Mohamed. “Advanced Sampling Methods for Solving Large-Scale Inverse Problems.” 2016. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/73683.

MLA Handbook (7th Edition):

Attia, Ahmed Mohamed Mohamed. “Advanced Sampling Methods for Solving Large-Scale Inverse Problems.” 2016. Web. 07 Dec 2019.

Vancouver:

Attia AMM. Advanced Sampling Methods for Solving Large-Scale Inverse Problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/73683.

Council of Science Editors:

Attia AMM. Advanced Sampling Methods for Solving Large-Scale Inverse Problems. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73683


Virginia Tech

27. Anandakrishnan, Ramamoorthi. Speeding up electrostatic computations for molecular dynamics.

Degree: PhD, Computer Science and Applications, 2011, Virginia Tech

 Molecular dynamics (MD) simulations are routinely used to study the structure and function of biological molecules. However the accuracy and duration of these simulations are… (more)

Subjects/Keywords: statistical mechanics; biomolecular electrostatics; molecular dynamics

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APA (6th Edition):

Anandakrishnan, R. (2011). Speeding up electrostatic computations for molecular dynamics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/40262

Chicago Manual of Style (16th Edition):

Anandakrishnan, Ramamoorthi. “Speeding up electrostatic computations for molecular dynamics.” 2011. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/40262.

MLA Handbook (7th Edition):

Anandakrishnan, Ramamoorthi. “Speeding up electrostatic computations for molecular dynamics.” 2011. Web. 07 Dec 2019.

Vancouver:

Anandakrishnan R. Speeding up electrostatic computations for molecular dynamics. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/40262.

Council of Science Editors:

Anandakrishnan R. Speeding up electrostatic computations for molecular dynamics. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/40262


Virginia Tech

28. Wu, Sichao. Computational Framework for Uncertainty Quantification, Sensitivity Analysis and Experimental Design of Network-based Computer Simulation Models.

Degree: PhD, Computer Science, 2017, Virginia Tech

 When capturing a real-world, networked system using a simulation model, features are usually omitted or represented by probability distributions. Verification and validation (V and V)… (more)

Subjects/Keywords: Network-based Simulation Models; Uncertainty Quantification; Sensitivity Analysis; Experimental Design; Graph Dynamical Systems

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APA (6th Edition):

Wu, S. (2017). Computational Framework for Uncertainty Quantification, Sensitivity Analysis and Experimental Design of Network-based Computer Simulation Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78764

Chicago Manual of Style (16th Edition):

Wu, Sichao. “Computational Framework for Uncertainty Quantification, Sensitivity Analysis and Experimental Design of Network-based Computer Simulation Models.” 2017. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/78764.

MLA Handbook (7th Edition):

Wu, Sichao. “Computational Framework for Uncertainty Quantification, Sensitivity Analysis and Experimental Design of Network-based Computer Simulation Models.” 2017. Web. 07 Dec 2019.

Vancouver:

Wu S. Computational Framework for Uncertainty Quantification, Sensitivity Analysis and Experimental Design of Network-based Computer Simulation Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/78764.

Council of Science Editors:

Wu S. Computational Framework for Uncertainty Quantification, Sensitivity Analysis and Experimental Design of Network-based Computer Simulation Models. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78764


Virginia Tech

29. Zhang, Hong. Efficient Time Stepping Methods and Sensitivity Analysis for Large Scale Systems of Differential Equations.

Degree: PhD, Computer Science, 2014, Virginia Tech

 Many fields in science and engineering require large-scale numerical simulations of complex systems described by differential equations. These systems are typically multi-physics (they are driven… (more)

Subjects/Keywords: Time Stepping; General Linear Methods; Implicit-explicit; Sensitivity Analysis

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APA (6th Edition):

Zhang, H. (2014). Efficient Time Stepping Methods and Sensitivity Analysis for Large Scale Systems of Differential Equations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50492

Chicago Manual of Style (16th Edition):

Zhang, Hong. “Efficient Time Stepping Methods and Sensitivity Analysis for Large Scale Systems of Differential Equations.” 2014. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/50492.

MLA Handbook (7th Edition):

Zhang, Hong. “Efficient Time Stepping Methods and Sensitivity Analysis for Large Scale Systems of Differential Equations.” 2014. Web. 07 Dec 2019.

Vancouver:

Zhang H. Efficient Time Stepping Methods and Sensitivity Analysis for Large Scale Systems of Differential Equations. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/50492.

Council of Science Editors:

Zhang H. Efficient Time Stepping Methods and Sensitivity Analysis for Large Scale Systems of Differential Equations. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50492


Virginia Tech

30. Easterling, David Robert. Solution of Constrained Clustering Problems through Homotopy Tracking.

Degree: PhD, Computer Science, 2015, Virginia Tech

 Modern machine learning methods are dependent on active optimization research to improve the set of methods available for the efficient and effective extraction of information… (more)

Subjects/Keywords: Multiobjective optimization; stochastic optimization; deterministic op- timization; biomechanics; quadratic optimization; DIRECT; QNSTOP; KNITRO; SPAN; simulated annealing; homotopy; constrained clustering

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APA (6th Edition):

Easterling, D. R. (2015). Solution of Constrained Clustering Problems through Homotopy Tracking. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51189

Chicago Manual of Style (16th Edition):

Easterling, David Robert. “Solution of Constrained Clustering Problems through Homotopy Tracking.” 2015. Doctoral Dissertation, Virginia Tech. Accessed December 07, 2019. http://hdl.handle.net/10919/51189.

MLA Handbook (7th Edition):

Easterling, David Robert. “Solution of Constrained Clustering Problems through Homotopy Tracking.” 2015. Web. 07 Dec 2019.

Vancouver:

Easterling DR. Solution of Constrained Clustering Problems through Homotopy Tracking. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10919/51189.

Council of Science Editors:

Easterling DR. Solution of Constrained Clustering Problems through Homotopy Tracking. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51189

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