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You searched for +publisher:"Texas A&M University" +contributor:("Ntaimo, Lewis"). Showing records 1 – 30 of 56 total matches.

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Texas A&M University

1. Kabli, Mohannad Reda A. Stochastic Programming Model for Fuel Treatment Management.

Degree: MS, Industrial and Systems Engineering, 2014, Texas A&M University

 Due to the increased number and intensity of wild fires, the need for solutions that minimize the impact of fire are needed. Fuel treatment is… (more)

Subjects/Keywords: fuel treatment; optimization; stochastic programming

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APA (6th Edition):

Kabli, M. R. A. (2014). Stochastic Programming Model for Fuel Treatment Management. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152840

Chicago Manual of Style (16th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/152840.

MLA Handbook (7th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Web. 28 Oct 2020.

Vancouver:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/152840.

Council of Science Editors:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152840


Texas A&M University

2. Hillegass, Ryan Cooley. A Simulation Analysis of Constrained Rate and Line Assembly Processes.

Degree: MS, Industrial Engineering, 2018, Texas A&M University

 Simulation presents a way to analyze the performance of a system with zone capacity constraints, operator constraints, and precedence constraints in an assembly line using… (more)

Subjects/Keywords: Simulation; Assembly; Takt Analysis; Precedence Constraints

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APA (6th Edition):

Hillegass, R. C. (2018). A Simulation Analysis of Constrained Rate and Line Assembly Processes. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173548

Chicago Manual of Style (16th Edition):

Hillegass, Ryan Cooley. “A Simulation Analysis of Constrained Rate and Line Assembly Processes.” 2018. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/173548.

MLA Handbook (7th Edition):

Hillegass, Ryan Cooley. “A Simulation Analysis of Constrained Rate and Line Assembly Processes.” 2018. Web. 28 Oct 2020.

Vancouver:

Hillegass RC. A Simulation Analysis of Constrained Rate and Line Assembly Processes. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/173548.

Council of Science Editors:

Hillegass RC. A Simulation Analysis of Constrained Rate and Line Assembly Processes. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173548


Texas A&M University

3. Shahinpour, Shahram. Optimization-Based Network Analysis with Applications in Clustering and Data Mining.

Degree: PhD, Industrial Engineering, 2013, Texas A&M University

 In this research we develop theoretical foundations and efficient solution methods for two classes of cluster-detection problems from optimization point of view. In particular, the… (more)

Subjects/Keywords: s-club; biclique; cluster-detection; clustering; scale-reduction; asymptotic bounds

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APA (6th Edition):

Shahinpour, S. (2013). Optimization-Based Network Analysis with Applications in Clustering and Data Mining. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151256

Chicago Manual of Style (16th Edition):

Shahinpour, Shahram. “Optimization-Based Network Analysis with Applications in Clustering and Data Mining.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/151256.

MLA Handbook (7th Edition):

Shahinpour, Shahram. “Optimization-Based Network Analysis with Applications in Clustering and Data Mining.” 2013. Web. 28 Oct 2020.

Vancouver:

Shahinpour S. Optimization-Based Network Analysis with Applications in Clustering and Data Mining. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/151256.

Council of Science Editors:

Shahinpour S. Optimization-Based Network Analysis with Applications in Clustering and Data Mining. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151256


Texas A&M University

4. Gallego Arrubla, Julian Andres. Irreducible Infeasible Subsystem Decomposition for Probabilistically Constrained Stochastic Integer Programs.

Degree: PhD, Industrial Engineering, 2013, Texas A&M University

 This dissertation explores methods for finding irreducible infeasible subsystems (IISs) of systems of inequalities with binary decision variables and for solving probabilistically constrained stochastic integer… (more)

Subjects/Keywords: Irreducible infeasible subystems; probabilistically constrained stochastic integer programs; wildfire initial response planning

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APA (6th Edition):

Gallego Arrubla, J. A. (2013). Irreducible Infeasible Subsystem Decomposition for Probabilistically Constrained Stochastic Integer Programs. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151296

Chicago Manual of Style (16th Edition):

Gallego Arrubla, Julian Andres. “Irreducible Infeasible Subsystem Decomposition for Probabilistically Constrained Stochastic Integer Programs.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/151296.

MLA Handbook (7th Edition):

Gallego Arrubla, Julian Andres. “Irreducible Infeasible Subsystem Decomposition for Probabilistically Constrained Stochastic Integer Programs.” 2013. Web. 28 Oct 2020.

Vancouver:

Gallego Arrubla JA. Irreducible Infeasible Subsystem Decomposition for Probabilistically Constrained Stochastic Integer Programs. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/151296.

Council of Science Editors:

Gallego Arrubla JA. Irreducible Infeasible Subsystem Decomposition for Probabilistically Constrained Stochastic Integer Programs. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151296


Texas A&M University

5. Yezerska, Oleksandra. Low-Diameter Clusters in Network Analysis.

Degree: PhD, Industrial Engineering, 2016, Texas A&M University

 In this dissertation, we introduce several novel tools for cluster-based analysis of complex systems and design solution approaches to solve the corresponding optimization problems. Cluster-based… (more)

Subjects/Keywords: network analysis; cluster detection; clique; clique relaxation; low-diameter cluster; s-club; partitioning

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APA (6th Edition):

Yezerska, O. (2016). Low-Diameter Clusters in Network Analysis. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174293

Chicago Manual of Style (16th Edition):

Yezerska, Oleksandra. “Low-Diameter Clusters in Network Analysis.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/174293.

MLA Handbook (7th Edition):

Yezerska, Oleksandra. “Low-Diameter Clusters in Network Analysis.” 2016. Web. 28 Oct 2020.

Vancouver:

Yezerska O. Low-Diameter Clusters in Network Analysis. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/174293.

Council of Science Editors:

Yezerska O. Low-Diameter Clusters in Network Analysis. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174293


Texas A&M University

6. Alismail, Fahad Saleh M. A Distributionally Robust Optimization Approach for the Optimal Wind Farm Allocation in Multi-Area Power Systems.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 This dissertation presents a distributionally robust planning model to determine the optimal allocation of wind farms in a multi-area power system, so that the expected… (more)

Subjects/Keywords: wind power planning; wind power distribution; generator failures; distributionally robust optimization; linear decision rule

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APA (6th Edition):

Alismail, F. S. M. (2016). A Distributionally Robust Optimization Approach for the Optimal Wind Farm Allocation in Multi-Area Power Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158602

Chicago Manual of Style (16th Edition):

Alismail, Fahad Saleh M. “A Distributionally Robust Optimization Approach for the Optimal Wind Farm Allocation in Multi-Area Power Systems.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/158602.

MLA Handbook (7th Edition):

Alismail, Fahad Saleh M. “A Distributionally Robust Optimization Approach for the Optimal Wind Farm Allocation in Multi-Area Power Systems.” 2016. Web. 28 Oct 2020.

Vancouver:

Alismail FSM. A Distributionally Robust Optimization Approach for the Optimal Wind Farm Allocation in Multi-Area Power Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/158602.

Council of Science Editors:

Alismail FSM. A Distributionally Robust Optimization Approach for the Optimal Wind Farm Allocation in Multi-Area Power Systems. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158602


Texas A&M University

7. Suh, Jae Woo. Selectively Erbium Doped Titanium Diffused Optical Waveguide Amplifiers in Lithium Niobate.

Degree: MS, Electrical Engineering, 2011, Texas A&M University

 Selectively erbium (Er) doped titanium (Ti) in-diffused optical waveguide amplifiers on lithium niobate (LiNbO3) substrate have been fabricated and characterized in the wavelength regime around… (more)

Subjects/Keywords: Erbium; Titanium; Waveguide, Amplifier; Lithium Niobate

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APA (6th Edition):

Suh, J. W. (2011). Selectively Erbium Doped Titanium Diffused Optical Waveguide Amplifiers in Lithium Niobate. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8897

Chicago Manual of Style (16th Edition):

Suh, Jae Woo. “Selectively Erbium Doped Titanium Diffused Optical Waveguide Amplifiers in Lithium Niobate.” 2011. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8897.

MLA Handbook (7th Edition):

Suh, Jae Woo. “Selectively Erbium Doped Titanium Diffused Optical Waveguide Amplifiers in Lithium Niobate.” 2011. Web. 28 Oct 2020.

Vancouver:

Suh JW. Selectively Erbium Doped Titanium Diffused Optical Waveguide Amplifiers in Lithium Niobate. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8897.

Council of Science Editors:

Suh JW. Selectively Erbium Doped Titanium Diffused Optical Waveguide Amplifiers in Lithium Niobate. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8897


Texas A&M University

8. Byon, Eunshin. Simulation and Optimization of Wind Farm Operations under Stochastic Conditions.

Degree: PhD, Industrial Engineering, 2011, Texas A&M University

 This dissertation develops a new methodology and associated solution tools to achieve optimal operations and maintenance strategies for wind turbines, helping reduce operational costs and… (more)

Subjects/Keywords: wind turbine operations and maintenance; condition based maintenance; sensor; reliability; wind energy; Markov decision process

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APA (6th Edition):

Byon, E. (2011). Simulation and Optimization of Wind Farm Operations under Stochastic Conditions. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7791

Chicago Manual of Style (16th Edition):

Byon, Eunshin. “Simulation and Optimization of Wind Farm Operations under Stochastic Conditions.” 2011. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7791.

MLA Handbook (7th Edition):

Byon, Eunshin. “Simulation and Optimization of Wind Farm Operations under Stochastic Conditions.” 2011. Web. 28 Oct 2020.

Vancouver:

Byon E. Simulation and Optimization of Wind Farm Operations under Stochastic Conditions. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7791.

Council of Science Editors:

Byon E. Simulation and Optimization of Wind Farm Operations under Stochastic Conditions. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7791


Texas A&M University

9. An, Heungjo. Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry.

Degree: PhD, Industrial Engineering, 2012, Texas A&M University

 The purpose of this dissertation is to provide an effective approach to design the supply chain (SC) of the cellulosic biofuel industry in order that… (more)

Subjects/Keywords: Bioenergy; Supply Chain; Biomass logistics system; Optimization; Simulation

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APA (6th Edition):

An, H. (2012). Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10583

Chicago Manual of Style (16th Edition):

An, Heungjo. “Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10583.

MLA Handbook (7th Edition):

An, Heungjo. “Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry.” 2012. Web. 28 Oct 2020.

Vancouver:

An H. Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10583.

Council of Science Editors:

An H. Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10583


Texas A&M University

10. Kwarteng, Ntiamoah. A Fast Transient Response ESR-Controlled Fixed Frequency Hysteretic Buck Converter.

Degree: MS, Electrical Engineering, 2016, Texas A&M University

 Modern application processors (microprocessors and Digital Signal Processors) are power hungry and demand power management solutions that can withstand their frequent and high slew-rate load… (more)

Subjects/Keywords: hysteretic; Buck Converter; phase-locked loop; equivalent sesries resistance; fixed frequency

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APA (6th Edition):

Kwarteng, N. (2016). A Fast Transient Response ESR-Controlled Fixed Frequency Hysteretic Buck Converter. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157066

Chicago Manual of Style (16th Edition):

Kwarteng, Ntiamoah. “A Fast Transient Response ESR-Controlled Fixed Frequency Hysteretic Buck Converter.” 2016. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/157066.

MLA Handbook (7th Edition):

Kwarteng, Ntiamoah. “A Fast Transient Response ESR-Controlled Fixed Frequency Hysteretic Buck Converter.” 2016. Web. 28 Oct 2020.

Vancouver:

Kwarteng N. A Fast Transient Response ESR-Controlled Fixed Frequency Hysteretic Buck Converter. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/157066.

Council of Science Editors:

Kwarteng N. A Fast Transient Response ESR-Controlled Fixed Frequency Hysteretic Buck Converter. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157066


Texas A&M University

11. Venkatachalam, Saravanan. Algorithms for Stochastic Integer Programs Using Fenchel Cutting Planes.

Degree: PhD, Industrial Engineering, 2014, Texas A&M University

 This dissertation develops theory and methodology based on Fenchel cutting planes for solving stochastic integer programs (SIPs) with binary or general integer variables in the… (more)

Subjects/Keywords: Stochastic Integer Programs; Fenchel Cutting Planes

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APA (6th Edition):

Venkatachalam, S. (2014). Algorithms for Stochastic Integer Programs Using Fenchel Cutting Planes. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153602

Chicago Manual of Style (16th Edition):

Venkatachalam, Saravanan. “Algorithms for Stochastic Integer Programs Using Fenchel Cutting Planes.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/153602.

MLA Handbook (7th Edition):

Venkatachalam, Saravanan. “Algorithms for Stochastic Integer Programs Using Fenchel Cutting Planes.” 2014. Web. 28 Oct 2020.

Vancouver:

Venkatachalam S. Algorithms for Stochastic Integer Programs Using Fenchel Cutting Planes. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/153602.

Council of Science Editors:

Venkatachalam S. Algorithms for Stochastic Integer Programs Using Fenchel Cutting Planes. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153602


Texas A&M University

12. Han, Xue. Healthcare Facility Location and Capacity Configuration under Stochastic Demand.

Degree: PhD, Industrial Engineering, 2014, Texas A&M University

 This dissertation addresses two topics. The first topic is strategic dynamic supply chain reconfiguration (DSCR) problem, in which the proposed capacity configuration network is employed… (more)

Subjects/Keywords: Dynamic facility location; Stochastic programming; Resource-constrained shortest path problem; Column generation

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APA (6th Edition):

Han, X. (2014). Healthcare Facility Location and Capacity Configuration under Stochastic Demand. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153954

Chicago Manual of Style (16th Edition):

Han, Xue. “Healthcare Facility Location and Capacity Configuration under Stochastic Demand.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/153954.

MLA Handbook (7th Edition):

Han, Xue. “Healthcare Facility Location and Capacity Configuration under Stochastic Demand.” 2014. Web. 28 Oct 2020.

Vancouver:

Han X. Healthcare Facility Location and Capacity Configuration under Stochastic Demand. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/153954.

Council of Science Editors:

Han X. Healthcare Facility Location and Capacity Configuration under Stochastic Demand. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153954


Texas A&M University

13. Sun, Xin. Person-based Adaptive Priority Signal Control with Connected-vehicle Information.

Degree: MS, Civil Engineering, 2014, Texas A&M University

 This thesis proposes a TSP (transit signal priority) strategy of person-based adaptive priority signal control with connected-vehicle information (PAPSCCI). By minimizing the total person delay… (more)

Subjects/Keywords: Transit signal priority; Connected-vehicle technology; Adaptive signal control

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APA (6th Edition):

Sun, X. (2014). Person-based Adaptive Priority Signal Control with Connected-vehicle Information. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154125

Chicago Manual of Style (16th Edition):

Sun, Xin. “Person-based Adaptive Priority Signal Control with Connected-vehicle Information.” 2014. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/154125.

MLA Handbook (7th Edition):

Sun, Xin. “Person-based Adaptive Priority Signal Control with Connected-vehicle Information.” 2014. Web. 28 Oct 2020.

Vancouver:

Sun X. Person-based Adaptive Priority Signal Control with Connected-vehicle Information. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/154125.

Council of Science Editors:

Sun X. Person-based Adaptive Priority Signal Control with Connected-vehicle Information. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154125


Texas A&M University

14. Fu, Yu. Block-based Outpatient Clinic Appointments Scheduling Under Open-access Policy.

Degree: PhD, Industrial Engineering, 2016, Texas A&M University

 Outpatient clinic appointment scheduling is an important topic in OR/IE studies. Open-access policy shows its strength in improving patient access and satisfaction, as well as… (more)

Subjects/Keywords: appointment scheduling; open-access policy; stochastic integer programming; endogenous uncertainty; L-shaped method; aggregated multicut L-shaped method; job shop; maximum independent set; bin packing; GRASP; simulated annealing

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APA (6th Edition):

Fu, Y. (2016). Block-based Outpatient Clinic Appointments Scheduling Under Open-access Policy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158636

Chicago Manual of Style (16th Edition):

Fu, Yu. “Block-based Outpatient Clinic Appointments Scheduling Under Open-access Policy.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/158636.

MLA Handbook (7th Edition):

Fu, Yu. “Block-based Outpatient Clinic Appointments Scheduling Under Open-access Policy.” 2016. Web. 28 Oct 2020.

Vancouver:

Fu Y. Block-based Outpatient Clinic Appointments Scheduling Under Open-access Policy. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/158636.

Council of Science Editors:

Fu Y. Block-based Outpatient Clinic Appointments Scheduling Under Open-access Policy. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158636


Texas A&M University

15. Liu, Lantao. Linear Sum Assignment Algorithms for Distributed Multi-robot Systems.

Degree: PhD, Computer Engineering, 2013, Texas A&M University

 Multi-robot task assignment (allocation) involves assigning robots to tasks in order to optimize the entire team’s performances. Until now, one of the most useful non-domain-specific… (more)

Subjects/Keywords: Multi-robot systems; task allocation; assignment algorithms; assignment uncertainty; 3D matching graph; task swapping; optimal market-based; distributed assignment

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APA (6th Edition):

Liu, L. (2013). Linear Sum Assignment Algorithms for Distributed Multi-robot Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149316

Chicago Manual of Style (16th Edition):

Liu, Lantao. “Linear Sum Assignment Algorithms for Distributed Multi-robot Systems.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/149316.

MLA Handbook (7th Edition):

Liu, Lantao. “Linear Sum Assignment Algorithms for Distributed Multi-robot Systems.” 2013. Web. 28 Oct 2020.

Vancouver:

Liu L. Linear Sum Assignment Algorithms for Distributed Multi-robot Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/149316.

Council of Science Editors:

Liu L. Linear Sum Assignment Algorithms for Distributed Multi-robot Systems. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149316


Texas A&M University

16. Cotton, Tanisha Green. Computational Study of Mean-Risk Stochastic Programs.

Degree: PhD, Industrial Engineering, 2013, Texas A&M University

 Mean-risk stochastic programs model uncertainty by including risk measures in the objective function. This allows for modeling risk averseness for many problems in science and… (more)

Subjects/Keywords: stochastic programming; mean-risk objectives; decomposition; subgradient optimization

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APA (6th Edition):

Cotton, T. G. (2013). Computational Study of Mean-Risk Stochastic Programs. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149619

Chicago Manual of Style (16th Edition):

Cotton, Tanisha Green. “Computational Study of Mean-Risk Stochastic Programs.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/149619.

MLA Handbook (7th Edition):

Cotton, Tanisha Green. “Computational Study of Mean-Risk Stochastic Programs.” 2013. Web. 28 Oct 2020.

Vancouver:

Cotton TG. Computational Study of Mean-Risk Stochastic Programs. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/149619.

Council of Science Editors:

Cotton TG. Computational Study of Mean-Risk Stochastic Programs. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149619


Texas A&M University

17. Lee, Giwhyun. Data Analytics Methods in Wind Turbine Design and Operations.

Degree: Doctor of Engineering, Industrial Engineering, 2013, Texas A&M University

 This dissertation develops sophisticated data analytic methods to analyze structural loads on, and power generation of, wind turbines. Wind turbines, which convert the kinetic energy… (more)

Subjects/Keywords: Wind energy; Data Analytics Methods

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APA (6th Edition):

Lee, G. (2013). Data Analytics Methods in Wind Turbine Design and Operations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151015

Chicago Manual of Style (16th Edition):

Lee, Giwhyun. “Data Analytics Methods in Wind Turbine Design and Operations.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/151015.

MLA Handbook (7th Edition):

Lee, Giwhyun. “Data Analytics Methods in Wind Turbine Design and Operations.” 2013. Web. 28 Oct 2020.

Vancouver:

Lee G. Data Analytics Methods in Wind Turbine Design and Operations. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/151015.

Council of Science Editors:

Lee G. Data Analytics Methods in Wind Turbine Design and Operations. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151015


Texas A&M University

18. Verma, Anurag. Network Based Approaches for Clustering and Location Decisions.

Degree: PhD, Industrial Engineering, 2012, Texas A&M University

 The objective of this dissertation is to study commonly occurring location and clustering problems on graphs. The dissertation is presented as a collection of results… (more)

Subjects/Keywords: Graph Theory; Optimization; Algorithms; Clique; Facility Location; Connected Dominating Sets; Clique Relaxations

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APA (6th Edition):

Verma, A. (2012). Network Based Approaches for Clustering and Location Decisions. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11849

Chicago Manual of Style (16th Edition):

Verma, Anurag. “Network Based Approaches for Clustering and Location Decisions.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11849.

MLA Handbook (7th Edition):

Verma, Anurag. “Network Based Approaches for Clustering and Location Decisions.” 2012. Web. 28 Oct 2020.

Vancouver:

Verma A. Network Based Approaches for Clustering and Location Decisions. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11849.

Council of Science Editors:

Verma A. Network Based Approaches for Clustering and Location Decisions. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11849


Texas A&M University

19. Gao, Long. Throughput and Delay Analysis in Cognitive Overlaid Networks.

Degree: PhD, Electrical Engineering, 2011, Texas A&M University

 Consider a cognitive overlaid network (CON) that has two tiers with different priorities: a primary tier vs. a secondary tier, which is an emerging network… (more)

Subjects/Keywords: Cognitive Radio; Throughput; Delay; Overlaid Networks; Scaling Laws; Asymptotic Analysis.

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APA (6th Edition):

Gao, L. (2011). Throughput and Delay Analysis in Cognitive Overlaid Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7531

Chicago Manual of Style (16th Edition):

Gao, Long. “Throughput and Delay Analysis in Cognitive Overlaid Networks.” 2011. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7531.

MLA Handbook (7th Edition):

Gao, Long. “Throughput and Delay Analysis in Cognitive Overlaid Networks.” 2011. Web. 28 Oct 2020.

Vancouver:

Gao L. Throughput and Delay Analysis in Cognitive Overlaid Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7531.

Council of Science Editors:

Gao L. Throughput and Delay Analysis in Cognitive Overlaid Networks. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7531


Texas A&M University

20. Kahruman-Anderoglu, Sera. Optimization in Geometric Graphs: Complexity and Approximation.

Degree: PhD, Industrial Engineering, 2011, Texas A&M University

 We consider several related problems arising in geometric graphs. In particular, we investigate the computational complexity and approximability properties of several optimization problems in unit… (more)

Subjects/Keywords: graph theory; geometric graphs; heuristics; computational complexity; approximation algorithms; branch and bound; wireless networks

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APA (6th Edition):

Kahruman-Anderoglu, S. (2011). Optimization in Geometric Graphs: Complexity and Approximation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7092

Chicago Manual of Style (16th Edition):

Kahruman-Anderoglu, Sera. “Optimization in Geometric Graphs: Complexity and Approximation.” 2011. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7092.

MLA Handbook (7th Edition):

Kahruman-Anderoglu, Sera. “Optimization in Geometric Graphs: Complexity and Approximation.” 2011. Web. 28 Oct 2020.

Vancouver:

Kahruman-Anderoglu S. Optimization in Geometric Graphs: Complexity and Approximation. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7092.

Council of Science Editors:

Kahruman-Anderoglu S. Optimization in Geometric Graphs: Complexity and Approximation. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7092


Texas A&M University

21. Balasubramaniam, Chitra. Characterizing Structurally Cohesive Clusters in Networks: Theory and Algorithms.

Degree: PhD, Industrial Engineering, 2015, Texas A&M University

 This dissertation aims at developing generalized network models and solution approaches for studying cluster detection problems that typically arise in networks. More specifically, we consider… (more)

Subjects/Keywords: Clique; Optimization; Algorithms; Clique Relaxations; Upper Bound; Connectivity; Structural Cohesion; Stable Clusters

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APA (6th Edition):

Balasubramaniam, C. (2015). Characterizing Structurally Cohesive Clusters in Networks: Theory and Algorithms. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155747

Chicago Manual of Style (16th Edition):

Balasubramaniam, Chitra. “Characterizing Structurally Cohesive Clusters in Networks: Theory and Algorithms.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/155747.

MLA Handbook (7th Edition):

Balasubramaniam, Chitra. “Characterizing Structurally Cohesive Clusters in Networks: Theory and Algorithms.” 2015. Web. 28 Oct 2020.

Vancouver:

Balasubramaniam C. Characterizing Structurally Cohesive Clusters in Networks: Theory and Algorithms. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/155747.

Council of Science Editors:

Balasubramaniam C. Characterizing Structurally Cohesive Clusters in Networks: Theory and Algorithms. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155747


Texas A&M University

22. Hari, Sai Krishna Kanth. Optimal Routing of Unmanned Vehicles in Persistent Monitoring Missions.

Degree: PhD, Mechanical Engineering, 2019, Texas A&M University

 Missions such as forest fire monitoring, military surveillance and infrastructure monitoring are referred to as persistent monitoring missions. These missions rely heavily on continual data… (more)

Subjects/Keywords: Persistent Monitoring; UAV; Optimal Routing; Traveling Salesman Problem

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APA (6th Edition):

Hari, S. K. K. (2019). Optimal Routing of Unmanned Vehicles in Persistent Monitoring Missions. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188741

Chicago Manual of Style (16th Edition):

Hari, Sai Krishna Kanth. “Optimal Routing of Unmanned Vehicles in Persistent Monitoring Missions.” 2019. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/188741.

MLA Handbook (7th Edition):

Hari, Sai Krishna Kanth. “Optimal Routing of Unmanned Vehicles in Persistent Monitoring Missions.” 2019. Web. 28 Oct 2020.

Vancouver:

Hari SKK. Optimal Routing of Unmanned Vehicles in Persistent Monitoring Missions. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/188741.

Council of Science Editors:

Hari SKK. Optimal Routing of Unmanned Vehicles in Persistent Monitoring Missions. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/188741


Texas A&M University

23. Homrich da Jornada, Daniel. Biobjective Optimization over the Efficient Set Methodology for Pareto Set Reduction in Multiobjective Decision Making: Theory and Application.

Degree: PhD, Industrial Engineering, 2015, Texas A&M University

 A large number of available solutions to choose from poses a significant challenge for multiple criteria decision making. This research develops a methodology that reduces… (more)

Subjects/Keywords: Multiple criteria decision making; Multiple objective programming; Robustness and sensitivity analysis; Optimization over the efficient set; Pareto set reduction; Multiobjective mixed binary programming; Water-energy nexus

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APA (6th Edition):

Homrich da Jornada, D. (2015). Biobjective Optimization over the Efficient Set Methodology for Pareto Set Reduction in Multiobjective Decision Making: Theory and Application. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156448

Chicago Manual of Style (16th Edition):

Homrich da Jornada, Daniel. “Biobjective Optimization over the Efficient Set Methodology for Pareto Set Reduction in Multiobjective Decision Making: Theory and Application.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/156448.

MLA Handbook (7th Edition):

Homrich da Jornada, Daniel. “Biobjective Optimization over the Efficient Set Methodology for Pareto Set Reduction in Multiobjective Decision Making: Theory and Application.” 2015. Web. 28 Oct 2020.

Vancouver:

Homrich da Jornada D. Biobjective Optimization over the Efficient Set Methodology for Pareto Set Reduction in Multiobjective Decision Making: Theory and Application. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/156448.

Council of Science Editors:

Homrich da Jornada D. Biobjective Optimization over the Efficient Set Methodology for Pareto Set Reduction in Multiobjective Decision Making: Theory and Application. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156448


Texas A&M University

24. Lee, Hyun Soo. Extraction of Contextual Knowledge and Ambiguity Handling for Ontology in Virtual Environment.

Degree: PhD, Industrial Engineering, 2011, Texas A&M University

 This dissertation investigates the extraction of knowledge from a known environment. Virtual ontology – the extracted knowledge – is defined as a structure of a… (more)

Subjects/Keywords: Virtual ontology; Metaearth architecture; Semantic merging; Graph isomorphism

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APA (6th Edition):

Lee, H. S. (2011). Extraction of Contextual Knowledge and Ambiguity Handling for Ontology in Virtual Environment. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8383

Chicago Manual of Style (16th Edition):

Lee, Hyun Soo. “Extraction of Contextual Knowledge and Ambiguity Handling for Ontology in Virtual Environment.” 2011. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8383.

MLA Handbook (7th Edition):

Lee, Hyun Soo. “Extraction of Contextual Knowledge and Ambiguity Handling for Ontology in Virtual Environment.” 2011. Web. 28 Oct 2020.

Vancouver:

Lee HS. Extraction of Contextual Knowledge and Ambiguity Handling for Ontology in Virtual Environment. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8383.

Council of Science Editors:

Lee HS. Extraction of Contextual Knowledge and Ambiguity Handling for Ontology in Virtual Environment. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8383


Texas A&M University

25. Ituzaro, Fred Agyekum. A Technique to Utilize Smart Meter Load Information for Adapting Overcurrent Protection for Radial Distribution Systems with Distributed Generations.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 Smart radial distribution grids will include advanced metering infrastructure (AMI) and significant distributed generators (DGs) connected close to loads. DGs in these radial distribution systems… (more)

Subjects/Keywords: Smart distribution systems; Smart meters; Maximum diversified demand; Radial distribution systems; Distributed generation; Adaptive overcurrent protection; directional overcurrent relays; EMTP(TM)/PSCAD(R)

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APA (6th Edition):

Ituzaro, F. A. (2012). A Technique to Utilize Smart Meter Load Information for Adapting Overcurrent Protection for Radial Distribution Systems with Distributed Generations. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10791

Chicago Manual of Style (16th Edition):

Ituzaro, Fred Agyekum. “A Technique to Utilize Smart Meter Load Information for Adapting Overcurrent Protection for Radial Distribution Systems with Distributed Generations.” 2012. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10791.

MLA Handbook (7th Edition):

Ituzaro, Fred Agyekum. “A Technique to Utilize Smart Meter Load Information for Adapting Overcurrent Protection for Radial Distribution Systems with Distributed Generations.” 2012. Web. 28 Oct 2020.

Vancouver:

Ituzaro FA. A Technique to Utilize Smart Meter Load Information for Adapting Overcurrent Protection for Radial Distribution Systems with Distributed Generations. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10791.

Council of Science Editors:

Ituzaro FA. A Technique to Utilize Smart Meter Load Information for Adapting Overcurrent Protection for Radial Distribution Systems with Distributed Generations. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10791


Texas A&M University

26. Oti, Isaac Chigozie. Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data.

Degree: PhD, Civil Engineering, 2018, Texas A&M University

 Various types of essential data are collected at different phases of the infrastructure life cycle. For major infrastructure assets, these data are commonly available and… (more)

Subjects/Keywords: Infrastructure monitoring; Citizen science; Data quality

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APA (6th Edition):

Oti, I. C. (2018). Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173725

Chicago Manual of Style (16th Edition):

Oti, Isaac Chigozie. “Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data.” 2018. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/173725.

MLA Handbook (7th Edition):

Oti, Isaac Chigozie. “Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data.” 2018. Web. 28 Oct 2020.

Vancouver:

Oti IC. Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/173725.

Council of Science Editors:

Oti IC. Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173725


Texas A&M University

27. Alvarado, Michelle. Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare.

Degree: PhD, Industrial Engineering, 2014, Texas A&M University

 Many real applications require decision-making under uncertainty. These decisions occur at discrete points in time, influence future decisions, and have uncertainties that evolve over time.… (more)

Subjects/Keywords: decision-making; simulation; optimization; uncertainty; oncology; scheduling

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APA (6th Edition):

Alvarado, M. (2014). Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153968

Chicago Manual of Style (16th Edition):

Alvarado, Michelle. “Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/153968.

MLA Handbook (7th Edition):

Alvarado, Michelle. “Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare.” 2014. Web. 28 Oct 2020.

Vancouver:

Alvarado M. Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/153968.

Council of Science Editors:

Alvarado M. Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153968


Texas A&M University

28. Zeng, Xiaosi. Development and Evaluation of An Adaptive Transit Signal Priority System Using Connected Vehicle Technology.

Degree: PhD, Civil Engineering, 2014, Texas A&M University

 Transit signal priority (TSP) can be a very effective preferential treatment for transit vehicles in congested urban networks. There are two problems with the current… (more)

Subjects/Keywords: Transit Signal Priority; Adaptive Signal Control; Connected Vehicle; Stochastic Programming; Mixed Integer Programming; Uncertain Arrival Time; Timing Deviation

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APA (6th Edition):

Zeng, X. (2014). Development and Evaluation of An Adaptive Transit Signal Priority System Using Connected Vehicle Technology. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154116

Chicago Manual of Style (16th Edition):

Zeng, Xiaosi. “Development and Evaluation of An Adaptive Transit Signal Priority System Using Connected Vehicle Technology.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/154116.

MLA Handbook (7th Edition):

Zeng, Xiaosi. “Development and Evaluation of An Adaptive Transit Signal Priority System Using Connected Vehicle Technology.” 2014. Web. 28 Oct 2020.

Vancouver:

Zeng X. Development and Evaluation of An Adaptive Transit Signal Priority System Using Connected Vehicle Technology. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/154116.

Council of Science Editors:

Zeng X. Development and Evaluation of An Adaptive Transit Signal Priority System Using Connected Vehicle Technology. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154116


Texas A&M University

29. Choi, Sangdo 1971-. Planning and Scheduling Surgeries under Stochastic Environment.

Degree: PhD, Industrial Engineering, 2012, Texas A&M University

 This dissertation presents an integrated approach to planning and scheduling surgeries in operating-rooms (ORs) at strategic, tactical and operational levels. We deal with uncertainties of… (more)

Subjects/Keywords: Operational; Tactical; Strategic; Planning and Scheduling; Stochastic; Health care

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APA (6th Edition):

Choi, S. 1. (2012). Planning and Scheduling Surgeries under Stochastic Environment. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148063

Chicago Manual of Style (16th Edition):

Choi, Sangdo 1971-. “Planning and Scheduling Surgeries under Stochastic Environment.” 2012. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/148063.

MLA Handbook (7th Edition):

Choi, Sangdo 1971-. “Planning and Scheduling Surgeries under Stochastic Environment.” 2012. Web. 28 Oct 2020.

Vancouver:

Choi S1. Planning and Scheduling Surgeries under Stochastic Environment. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/148063.

Council of Science Editors:

Choi S1. Planning and Scheduling Surgeries under Stochastic Environment. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148063


Texas A&M University

30. Oti, Isaac Chigozie. Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data.

Degree: PhD, Civil Engineering, 2018, Texas A&M University

 Various types of essential data are collected at different phases of the infrastructure life cycle. For major infrastructure assets, these data are commonly available and… (more)

Subjects/Keywords: Infrastructure monitoring; Citizen science; Data quality

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

APA (6th Edition):

Oti, I. C. (2018). Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173820

Chicago Manual of Style (16th Edition):

Oti, Isaac Chigozie. “Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data.” 2018. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/173820.

MLA Handbook (7th Edition):

Oti, Isaac Chigozie. “Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data.” 2018. Web. 28 Oct 2020.

Vancouver:

Oti IC. Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/173820.

Council of Science Editors:

Oti IC. Viability of Citizen Science for Enhancing the Quality of Infrastructure Monitoring Data. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173820

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