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You searched for +publisher:"University of Colorado" +contributor:("Nisar Ahmed"). Showing records 1 – 16 of 16 total matches.

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University of Colorado

1. Chen, Zhaozhong. Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization.

Degree: MS, 2018, University of Colorado

  VI-SLAM (Visual-Inertial Simultaneous Localization and Mapping) is a popular way for robotics navigation and tracking. With the help of sensor fusion from IMU and… (more)

Subjects/Keywords: bayesian optimization; extrinsic parameter; visual inertial slam; relative pose; camera; Computer Sciences; Robotics

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APA (6th Edition):

Chen, Z. (2018). Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/ecen_gradetds/188

Chicago Manual of Style (16th Edition):

Chen, Zhaozhong. “Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization.” 2018. Masters Thesis, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/ecen_gradetds/188.

MLA Handbook (7th Edition):

Chen, Zhaozhong. “Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization.” 2018. Web. 07 Mar 2021.

Vancouver:

Chen Z. Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/ecen_gradetds/188.

Council of Science Editors:

Chen Z. Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/ecen_gradetds/188


University of Colorado

2. Watza, Spencer G. Assessment of an Online RF Propagation Hybrid Architecture for Communication-Aware Small Unmanned Aircraft Systems.

Degree: MS, 2018, University of Colorado

 Small Unmanned Aircraft Systems (sUAS) are attracting significant attention for their use in a wide range applications. These applications can be categorized into two types… (more)

Subjects/Keywords: small unmanned aircraft systems; architecture; communication-aware; machine learning; assessments; Aerospace Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Watza, S. G. (2018). Assessment of an Online RF Propagation Hybrid Architecture for Communication-Aware Small Unmanned Aircraft Systems. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/243

Chicago Manual of Style (16th Edition):

Watza, Spencer G. “Assessment of an Online RF Propagation Hybrid Architecture for Communication-Aware Small Unmanned Aircraft Systems.” 2018. Masters Thesis, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/243.

MLA Handbook (7th Edition):

Watza, Spencer G. “Assessment of an Online RF Propagation Hybrid Architecture for Communication-Aware Small Unmanned Aircraft Systems.” 2018. Web. 07 Mar 2021.

Vancouver:

Watza SG. Assessment of an Online RF Propagation Hybrid Architecture for Communication-Aware Small Unmanned Aircraft Systems. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/243.

Council of Science Editors:

Watza SG. Assessment of an Online RF Propagation Hybrid Architecture for Communication-Aware Small Unmanned Aircraft Systems. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/asen_gradetds/243


University of Colorado

3. Aitken, Matthew Scott. Assured Human-Autonomy Interaction Through Machine Self-Confidence.

Degree: MS, Aerospace Engineering Sciences, 2016, University of Colorado

  Autonomous systems employ many layers of approximations in order to operate in increasingly uncertain and unstructured environments. The complexity of these systems makes it… (more)

Subjects/Keywords: assurance; autonomy; confidence; interaction; self-confidence; trust; Aerospace Engineering

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APA (6th Edition):

Aitken, M. S. (2016). Assured Human-Autonomy Interaction Through Machine Self-Confidence. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/150

Chicago Manual of Style (16th Edition):

Aitken, Matthew Scott. “Assured Human-Autonomy Interaction Through Machine Self-Confidence.” 2016. Masters Thesis, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/150.

MLA Handbook (7th Edition):

Aitken, Matthew Scott. “Assured Human-Autonomy Interaction Through Machine Self-Confidence.” 2016. Web. 07 Mar 2021.

Vancouver:

Aitken MS. Assured Human-Autonomy Interaction Through Machine Self-Confidence. [Internet] [Masters thesis]. University of Colorado; 2016. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/150.

Council of Science Editors:

Aitken MS. Assured Human-Autonomy Interaction Through Machine Self-Confidence. [Masters Thesis]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/asen_gradetds/150


University of Colorado

4. Sweet, Nicholas. Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction.

Degree: MS, Aerospace Engineering Sciences, 2016, University of Colorado

 Autonomous systems, particularly unmanned aerial systems (UAS), remain limited in autonomous capabilities largely due to a poor understanding of their environment. Current sensors simply do… (more)

Subjects/Keywords: Data fusion; Dynamic state estimation; Human-robot interaction; Human sensor modeling; Natural language processing; Soft data; Aerospace Engineering; Engineering; Robotics

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APA (6th Edition):

Sweet, N. (2016). Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/151

Chicago Manual of Style (16th Edition):

Sweet, Nicholas. “Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction.” 2016. Masters Thesis, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/151.

MLA Handbook (7th Edition):

Sweet, Nicholas. “Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction.” 2016. Web. 07 Mar 2021.

Vancouver:

Sweet N. Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction. [Internet] [Masters thesis]. University of Colorado; 2016. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/151.

Council of Science Editors:

Sweet N. Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction. [Masters Thesis]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/asen_gradetds/151


University of Colorado

5. Smith, Sarah Mitchell. Proximal Blade Twist Feedback Control for Heliogyro Solar Sails.

Degree: MS, Aerospace Engineering Sciences, 2015, University of Colorado

  A heliogyro spacecraft is a specific type of solar sail that generates thrust from the reflection of solar photons. It consists of multiple long… (more)

Subjects/Keywords: solar sailing; space; Aerospace Engineering; Navigation, Guidance, Control and Dynamics; Structures and Materials

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APA (6th Edition):

Smith, S. M. (2015). Proximal Blade Twist Feedback Control for Heliogyro Solar Sails. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/108

Chicago Manual of Style (16th Edition):

Smith, Sarah Mitchell. “Proximal Blade Twist Feedback Control for Heliogyro Solar Sails.” 2015. Masters Thesis, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/108.

MLA Handbook (7th Edition):

Smith, Sarah Mitchell. “Proximal Blade Twist Feedback Control for Heliogyro Solar Sails.” 2015. Web. 07 Mar 2021.

Vancouver:

Smith SM. Proximal Blade Twist Feedback Control for Heliogyro Solar Sails. [Internet] [Masters thesis]. University of Colorado; 2015. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/108.

Council of Science Editors:

Smith SM. Proximal Blade Twist Feedback Control for Heliogyro Solar Sails. [Masters Thesis]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/asen_gradetds/108


University of Colorado

6. Falquez, Juan. Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM).

Degree: PhD, 2018, University of Colorado

  Long-term autonomy is the dream of many roboticists – and if a robotic system can be split into three main categories: perception, planning and… (more)

Subjects/Keywords: robot; simultaneous localization and mapping; photometic optimization; navigation; tracking; Computer Sciences; Robotics

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APA (6th Edition):

Falquez, J. (2018). Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM). (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/166

Chicago Manual of Style (16th Edition):

Falquez, Juan. “Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM).” 2018. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/csci_gradetds/166.

MLA Handbook (7th Edition):

Falquez, Juan. “Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM).” 2018. Web. 07 Mar 2021.

Vancouver:

Falquez J. Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM). [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/csci_gradetds/166.

Council of Science Editors:

Falquez J. Towards Robust Dense Visual Simultaneous Localization and Mapping (SLAM). [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/csci_gradetds/166


University of Colorado

7. Klingner, John. Distributed and Decentralized Algorithms for Functional Programmable Matter.

Degree: PhD, 2018, University of Colorado

  Programmable matter is made up of large quantities of particles that can sense, actuate, communicate, and compute. Motivated to imbue these materials with functionality,… (more)

Subjects/Keywords: decentralized; distributed; localization; programmable matter; spatial computing; swarm; Computer Sciences; Robotics

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APA (6th Edition):

Klingner, J. (2018). Distributed and Decentralized Algorithms for Functional Programmable Matter. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/194

Chicago Manual of Style (16th Edition):

Klingner, John. “Distributed and Decentralized Algorithms for Functional Programmable Matter.” 2018. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/csci_gradetds/194.

MLA Handbook (7th Edition):

Klingner, John. “Distributed and Decentralized Algorithms for Functional Programmable Matter.” 2018. Web. 07 Mar 2021.

Vancouver:

Klingner J. Distributed and Decentralized Algorithms for Functional Programmable Matter. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/csci_gradetds/194.

Council of Science Editors:

Klingner J. Distributed and Decentralized Algorithms for Functional Programmable Matter. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/csci_gradetds/194


University of Colorado

8. Gehly, Steven. Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods.

Degree: PhD, Aerospace Engineering Sciences, 2016, University of Colorado

 The use of near Earth space has increased dramatically in the past few decades, and operational satellites are an integral part of modern society. The… (more)

Subjects/Keywords: Geosynchronous Orbit; Information Gain; Initial Orbit Determination; Multitarget Filtering; Random Finite Sets; Sensor Allocation; Aerospace Engineering

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APA (6th Edition):

Gehly, S. (2016). Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/148

Chicago Manual of Style (16th Edition):

Gehly, Steven. “Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods.” 2016. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/148.

MLA Handbook (7th Edition):

Gehly, Steven. “Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods.” 2016. Web. 07 Mar 2021.

Vancouver:

Gehly S. Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/148.

Council of Science Editors:

Gehly S. Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/asen_gradetds/148


University of Colorado

9. King, Ryan Nicholas. Learning and Optimization for Turbulent Flows.

Degree: PhD, Mechanical Engineering, 2016, University of Colorado

  Turbulence is pervasive throughout most thermal-fluid systems, yet the modeling of turbulence, and its effects on engineering systems, remains a persistent challenge. This dissertation… (more)

Subjects/Keywords: adjoint optimization; autonomic closure; turbulence modeling; wind energy; Mechanical Engineering

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APA (6th Edition):

King, R. N. (2016). Learning and Optimization for Turbulent Flows. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/mcen_gradetds/135

Chicago Manual of Style (16th Edition):

King, Ryan Nicholas. “Learning and Optimization for Turbulent Flows.” 2016. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/mcen_gradetds/135.

MLA Handbook (7th Edition):

King, Ryan Nicholas. “Learning and Optimization for Turbulent Flows.” 2016. Web. 07 Mar 2021.

Vancouver:

King RN. Learning and Optimization for Turbulent Flows. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/mcen_gradetds/135.

Council of Science Editors:

King RN. Learning and Optimization for Turbulent Flows. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/mcen_gradetds/135


University of Colorado

10. Keivan, Nima. Monocular Visual-Inertial Slam and Self Calibration for Long Term Autonomy.

Degree: PhD, Computer Science, 2017, University of Colorado

  This thesis is concerned with real-time monocular visual-inertial simultaneous localization and mapping (VI-SLAM) with application to Long Term Autonomy. Given a sensor rig capable… (more)

Subjects/Keywords: 3D Vision; Computer Vision; Robot Vision; Self-Calibration; SLAM; Visual-Inertial; Robotics

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APA (6th Edition):

Keivan, N. (2017). Monocular Visual-Inertial Slam and Self Calibration for Long Term Autonomy. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/151

Chicago Manual of Style (16th Edition):

Keivan, Nima. “Monocular Visual-Inertial Slam and Self Calibration for Long Term Autonomy.” 2017. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/csci_gradetds/151.

MLA Handbook (7th Edition):

Keivan, Nima. “Monocular Visual-Inertial Slam and Self Calibration for Long Term Autonomy.” 2017. Web. 07 Mar 2021.

Vancouver:

Keivan N. Monocular Visual-Inertial Slam and Self Calibration for Long Term Autonomy. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/csci_gradetds/151.

Council of Science Editors:

Keivan N. Monocular Visual-Inertial Slam and Self Calibration for Long Term Autonomy. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/csci_gradetds/151


University of Colorado

11. Bryant, Daniel S. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.

Degree: PhD, 2017, University of Colorado

 Fragmentation events and large scale small-sat deployments are a significant threat; because of the sudden creation of many new objects posing potential risks to existing… (more)

Subjects/Keywords: Bayesian estimation; generalized labeled multi-Bernoulli filter; multi-object filtering; multi-target tracking; object spawning; random finite sets; Aerospace Engineering

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APA (6th Edition):

Bryant, D. S. (2017). Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/194

Chicago Manual of Style (16th Edition):

Bryant, Daniel S. “Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.” 2017. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/194.

MLA Handbook (7th Edition):

Bryant, Daniel S. “Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.” 2017. Web. 07 Mar 2021.

Vancouver:

Bryant DS. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/194.

Council of Science Editors:

Bryant DS. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/asen_gradetds/194


University of Colorado

12. Wagle, Neeti. Transfer Learning for Characterization of Small Unmanned Aircraft Communication.

Degree: PhD, Computer Science, 2015, University of Colorado

  This dissertation develops a nonparametric, computationally efficient method for modeling the airborne communication environment for small unmanned aircraft systems (sUAS). Transfer learning for Gaussian… (more)

Subjects/Keywords: Gaussian Process; Machine Learning; Modeling; Artificial Intelligence and Robotics

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APA (6th Edition):

Wagle, N. (2015). Transfer Learning for Characterization of Small Unmanned Aircraft Communication. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/100

Chicago Manual of Style (16th Edition):

Wagle, Neeti. “Transfer Learning for Characterization of Small Unmanned Aircraft Communication.” 2015. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/csci_gradetds/100.

MLA Handbook (7th Edition):

Wagle, Neeti. “Transfer Learning for Characterization of Small Unmanned Aircraft Communication.” 2015. Web. 07 Mar 2021.

Vancouver:

Wagle N. Transfer Learning for Characterization of Small Unmanned Aircraft Communication. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/csci_gradetds/100.

Council of Science Editors:

Wagle N. Transfer Learning for Characterization of Small Unmanned Aircraft Communication. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/csci_gradetds/100


University of Colorado

13. Laurence III, Roger Jean. sUAS Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System.

Degree: PhD, 2017, University of Colorado

  Small unmanned aircraft systems (sUAS) have proven their effectiveness for measuring both the inertial and aircraft-relative wind. Multiple methods for wind measurement from sUAS… (more)

Subjects/Keywords: computational fluid dynamics; flush airdata system; neural networks; suas; unmanned aircraft systems; wind measurements; Aerospace Engineering; Fluid Dynamics

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APA (6th Edition):

Laurence III, R. J. (2017). sUAS Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/208

Chicago Manual of Style (16th Edition):

Laurence III, Roger Jean. “sUAS Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System.” 2017. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/208.

MLA Handbook (7th Edition):

Laurence III, Roger Jean. “sUAS Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System.” 2017. Web. 07 Mar 2021.

Vancouver:

Laurence III RJ. sUAS Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/208.

Council of Science Editors:

Laurence III RJ. sUAS Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/asen_gradetds/208


University of Colorado

14. Surovik, David Allen. Autonomous Mission Design in Extreme Orbit Environments.

Degree: PhD, Aerospace Engineering Sciences, 2016, University of Colorado

  An algorithm for autonomous online mission design at asteroids, comets, and small moons is developed to meet the novel challenges of their complex non-Keplerian… (more)

Subjects/Keywords: astrodynamics; autonomy; heuristic search; mission design; motion planning; receding horizon control; Aerospace Engineering; Artificial Intelligence and Robotics; Astrodynamics; Dynamics and Dynamical Systems; Robotics

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APA (6th Edition):

Surovik, D. A. (2016). Autonomous Mission Design in Extreme Orbit Environments. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/143

Chicago Manual of Style (16th Edition):

Surovik, David Allen. “Autonomous Mission Design in Extreme Orbit Environments.” 2016. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/143.

MLA Handbook (7th Edition):

Surovik, David Allen. “Autonomous Mission Design in Extreme Orbit Environments.” 2016. Web. 07 Mar 2021.

Vancouver:

Surovik DA. Autonomous Mission Design in Extreme Orbit Environments. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/143.

Council of Science Editors:

Surovik DA. Autonomous Mission Design in Extreme Orbit Environments. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/asen_gradetds/143


University of Colorado

15. Laurence, Roger Jean, III. Suas Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System.

Degree: PhD, Aerospace Engineering Sciences, 2017, University of Colorado

  Small unmanned aircraft systems (sUAS) have proven their effectiveness for measuring both the inertial and aircraft-relative wind. Multiple methods for wind measurement from sUAS… (more)

Subjects/Keywords: computational fluid dynamics; flush airdata system; neural networks; sUAS; unmanned aircraft systems; wind measurements; Aeronautical Vehicles; Aerospace Engineering

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APA (6th Edition):

Laurence, Roger Jean, I. (2017). Suas Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/179

Chicago Manual of Style (16th Edition):

Laurence, Roger Jean, III. “Suas Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System.” 2017. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/179.

MLA Handbook (7th Edition):

Laurence, Roger Jean, III. “Suas Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System.” 2017. Web. 07 Mar 2021.

Vancouver:

Laurence, Roger Jean I. Suas Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/179.

Council of Science Editors:

Laurence, Roger Jean I. Suas Wind Sensing with Computational Fluid Dynamics and a Distributed Flush Airdata System. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/asen_gradetds/179


University of Colorado

16. Khajah, Mohammad. Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance.

Degree: PhD, Computer Science, 2017, University of Colorado

 I study the impact of novel game manipulations on user engagement using principled computational methods. Maximizing user engagement is important because it results in more… (more)

Subjects/Keywords: computer technology; user engagement; psychology; technology; education; Gaussian processes; neural network; preference learning models; Computer Sciences; Educational Methods; Psychology

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APA (6th Edition):

Khajah, M. (2017). Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/160

Chicago Manual of Style (16th Edition):

Khajah, Mohammad. “Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance.” 2017. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/csci_gradetds/160.

MLA Handbook (7th Edition):

Khajah, Mohammad. “Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance.” 2017. Web. 07 Mar 2021.

Vancouver:

Khajah M. Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/csci_gradetds/160.

Council of Science Editors:

Khajah M. Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/csci_gradetds/160

.