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Cranfield University (United Kingdom). College of Aeronautics. degree granting institution.

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Massachusetts Institute of Technology. degree granting institution.

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Abrantes, Richard Jun Espino, author.

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Braun, Adam D., author.

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Chati, Yashovardhan Sushil, author.

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Chembakassery, Bella J., author. (orcid)0000-0003-4110-5063

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Cornell University. Mechanical Engineering. degree granting institution.

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Cranfield University (United Kingdom). School of Engineering, Optical Sensors Group. degree granting institution.

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Ellery, Alexander, author.

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Hitomi, Nozomi, author. (orcid)0000-0001-8568-1690

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Iowa State University. Aerospace Engineering. degree granting institution.

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University of California, Los Angeles. Aerospace Engineering 0279. degree granting institution.

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Wang, Tianheng, author.

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Quantum Inspired Algorithms for Learning and Control of Stochastic Systems için kapak resmi

Quantum Inspired Algorithms for Learning and Control of Stochastic Systems

1.

Quantum Inspired Algorithms for Learning and Control of Stochastic Systems

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Rajagopal, Karthikeyan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10185997

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Quantum Inspired Algorithms for Learning and Control of Stochastic Systems / Rajagopal, Karthikeyan

Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation için kapak resmi

Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation

2.

Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation

by

Fischels, Matthew Vincent, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10624648

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developed and compared to the Crank-Nicholson based SIMPLER and the explicit RK-SIMPLER algorithms. The IRK

Consensus and Platooning in Multiagent Networks için kapak resmi

Consensus and Platooning in Multiagent Networks

3.

Consensus and Platooning in Multiagent Networks

by

Song, Jiazhi, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10747560

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-invariant consensus-based distributed algorithms is proposed. Then, it is proven that, given a convergent distributed

Investigation of Deep Neural Network Image Processing for Cubesat Size Satellites için kapak resmi

Investigation of Deep Neural Network Image Processing for Cubesat Size Satellites

4.

Investigation of Deep Neural Network Image Processing for Cubesat Size Satellites

by

Braun, Adam D., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790236

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CubeSats to utilize AI algorithms. These computationally intensive AI algorithms, such as Deep Learning

Raman optical time domain reflectometry for aircraft fire-overheat detection and monitoring için kapak resmi

Raman optical time domain reflectometry for aircraft fire-overheat detection and monitoring

5.

Raman optical time domain reflectometry for aircraft fire-overheat detection and monitoring

by

Odic, Richard Marie, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10832209

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algorithms. These algorithms involve processing the temperature time derivative, the spatial gradient, the

Systems design and control of a freeflying space robotic manipulator system (ATLAS) for in-orbit satellite servicing operations için kapak resmi

Systems design and control of a freeflying space robotic manipulator system (ATLAS) for in-orbit satellite servicing operations

6.

Systems design and control of a freeflying space robotic manipulator system (ATLAS) for in-orbit satellite servicing operations

by

Ellery, Alexander, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10832189

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control algorithms and standard spacecraft attitude control techniques. A mathematical proof of the

Fault diagnosis of distributed systems: Analysis, simulation and performance measurement için kapak resmi

Fault diagnosis of distributed systems: Analysis, simulation and performance measurement

7.

Fault diagnosis of distributed systems: Analysis, simulation and performance measurement

by

Mohammed, Thabit Sultan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10832271

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reconciled. The design of improved fault diagnosis algorithms for systems without a global observer provides

Low-order Wavefront Sensing for Future Space-based Coronagraphic Missions with a Sparse Aperture Mask için kapak resmi

Low-order Wavefront Sensing for Future Space-based Coronagraphic Missions with a Sparse Aperture Mask

8.

Low-order Wavefront Sensing for Future Space-based Coronagraphic Missions with a Sparse Aperture Mask

by

Subedi, Hari B., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823106

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achieving their theoretical limits. Robust estimation and control algorithms that can estimate and control

Development of a Complexity-Reduced, Collisional-Radiative Model for Multiphysics Plasma Simulations için kapak resmi

Development of a Complexity-Reduced, Collisional-Radiative Model for Multiphysics Plasma Simulations

9.

Development of a Complexity-Reduced, Collisional-Radiative Model for Multiphysics Plasma Simulations

by

Abrantes, Richard Jun Espino, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10826349

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-reduction algorithms. The techniques explored in this work included the quasi-steady-state (QSS) solution, uniform

Statistical Modeling of Aircraft Engine Fuel Burn için kapak resmi

Statistical Modeling of Aircraft Engine Fuel Burn

10.

Statistical Modeling of Aircraft Engine Fuel Burn

by

Chati, Yashovardhan Sushil, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903558

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particular phase or the entire trajectory). The new model architecture uses supervised learning algorithms to

Network Navigation with Scheduling için kapak resmi

Network Navigation with Scheduling

11.

Network Navigation with Scheduling

by

Wang, Tianheng, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903601

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. Furthermore, efficient and distributed situation-aware scheduling algorithms tailored for wireless navigation

Impact Load Identification Using Optimal Sensor Placement and Model Reduction için kapak resmi

Impact Load Identification Using Optimal Sensor Placement and Model Reduction

12.

Impact Load Identification Using Optimal Sensor Placement and Model Reduction

by

Chembakassery, Bella J., author. (orcid)0000-0003-4110-5063

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10816748

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optimum sensor locations are identified using the D-optimal design Algorithm. Separate algorithms are

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