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You searched for +publisher:"University of Nevada – Reno" +contributor:("La, Hung M."). Showing records 1 – 9 of 9 total matches.

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1. Singandhupe, Ashutosh Ramlal. Securing a UAV Using Features from an EEG Signal.

Degree: 2017, University of Nevada – Reno

 This thesis focuses on an approach which entails the extraction of Beta component of the EEG (Electroencephalogram) signal of a user and uses his/her EEG… (more)

Subjects/Keywords: EEG; Security; UAV

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

APA (6th Edition):

Singandhupe, A. R. (2017). Securing a UAV Using Features from an EEG Signal. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/2750

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Singandhupe, Ashutosh Ramlal. “Securing a UAV Using Features from an EEG Signal.” 2017. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/2750.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Singandhupe, Ashutosh Ramlal. “Securing a UAV Using Features from an EEG Signal.” 2017. Web. 06 Mar 2021.

Vancouver:

Singandhupe AR. Securing a UAV Using Features from an EEG Signal. [Internet] [Thesis]. University of Nevada – Reno; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/2750.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Singandhupe AR. Securing a UAV Using Features from an EEG Signal. [Thesis]. University of Nevada – Reno; 2017. Available from: http://hdl.handle.net/11714/2750

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Le, Tuan. A Multi-functional Robot for Civil Infrastructure Inspection.

Degree: 2017, University of Nevada – Reno

 This thesis focuses on designing and building a robotic system for civil infrastructure inspections. The robot is equipped with two non-destructive-evaluation (NDE) types of sensors:… (more)

Subjects/Keywords: inspection; non-destructive evaluation; visual inertial odometry

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

APA (6th Edition):

Le, T. (2017). A Multi-functional Robot for Civil Infrastructure Inspection. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/1984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Le, Tuan. “A Multi-functional Robot for Civil Infrastructure Inspection.” 2017. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/1984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Le, Tuan. “A Multi-functional Robot for Civil Infrastructure Inspection.” 2017. Web. 06 Mar 2021.

Vancouver:

Le T. A Multi-functional Robot for Civil Infrastructure Inspection. [Internet] [Thesis]. University of Nevada – Reno; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/1984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Le T. A Multi-functional Robot for Civil Infrastructure Inspection. [Thesis]. University of Nevada – Reno; 2017. Available from: http://hdl.handle.net/11714/1984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Connell, Devin. Dynamic Path Planning and Replanning for Mobile Robot Team Using RRT*.

Degree: 2017, University of Nevada – Reno

 It is necessary for a mobile robot to be able to efficiently plan a path from itsstarting or current location to a desired goal location.… (more)

Subjects/Keywords: Path Planning; Robotics; RRT

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

APA (6th Edition):

Connell, D. (2017). Dynamic Path Planning and Replanning for Mobile Robot Team Using RRT*. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/2004

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Connell, Devin. “Dynamic Path Planning and Replanning for Mobile Robot Team Using RRT*.” 2017. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/2004.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Connell, Devin. “Dynamic Path Planning and Replanning for Mobile Robot Team Using RRT*.” 2017. Web. 06 Mar 2021.

Vancouver:

Connell D. Dynamic Path Planning and Replanning for Mobile Robot Team Using RRT*. [Internet] [Thesis]. University of Nevada – Reno; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/2004.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Connell D. Dynamic Path Planning and Replanning for Mobile Robot Team Using RRT*. [Thesis]. University of Nevada – Reno; 2017. Available from: http://hdl.handle.net/11714/2004

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Woods, Alexander Cromwell. An Extended Potential Field Controller for use on Aerial Robots.

Degree: 2016, University of Nevada – Reno

 This thesis focuses on the design and implementation of an extended potential field controller (ePFC) which enables a quadcopter aerial robot to track a dynamic… (more)

Subjects/Keywords: control; drone; navigation; quadcopter; UAS; UAV

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

APA (6th Edition):

Woods, A. C. (2016). An Extended Potential Field Controller for use on Aerial Robots. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/2150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Woods, Alexander Cromwell. “An Extended Potential Field Controller for use on Aerial Robots.” 2016. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/2150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Woods, Alexander Cromwell. “An Extended Potential Field Controller for use on Aerial Robots.” 2016. Web. 06 Mar 2021.

Vancouver:

Woods AC. An Extended Potential Field Controller for use on Aerial Robots. [Internet] [Thesis]. University of Nevada – Reno; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/2150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Woods AC. An Extended Potential Field Controller for use on Aerial Robots. [Thesis]. University of Nevada – Reno; 2016. Available from: http://hdl.handle.net/11714/2150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Pham, Huy X. Design Distributed Control and Learning Algorithms for a Team of UAVs for Optimal Field Coverage.

Degree: 2018, University of Nevada – Reno

 Optimal field coverage problem refers to an active research branch that studies how we can use a finite set of sensors, such as camera, to… (more)

Subjects/Keywords: Distributed control; Multi-Agent Reinforcement Learning; Multi-Robot Systems; Optimal field coverage; UAV

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

APA (6th Edition):

Pham, H. X. (2018). Design Distributed Control and Learning Algorithms for a Team of UAVs for Optimal Field Coverage. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/4886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pham, Huy X. “Design Distributed Control and Learning Algorithms for a Team of UAVs for Optimal Field Coverage.” 2018. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/4886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pham, Huy X. “Design Distributed Control and Learning Algorithms for a Team of UAVs for Optimal Field Coverage.” 2018. Web. 06 Mar 2021.

Vancouver:

Pham HX. Design Distributed Control and Learning Algorithms for a Team of UAVs for Optimal Field Coverage. [Internet] [Thesis]. University of Nevada – Reno; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/4886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pham HX. Design Distributed Control and Learning Algorithms for a Team of UAVs for Optimal Field Coverage. [Thesis]. University of Nevada – Reno; 2018. Available from: http://hdl.handle.net/11714/4886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Sehgal, Adarsh. Genetic Algorithm as Function Optimizer in Reinforcement Learning and Sensor Odometry.

Degree: 2019, University of Nevada – Reno

 Reinforcement learning (RL) enables agents to make a decision based on a reward function. However, in the process of learning, the choice of values for… (more)

Subjects/Keywords: Deep Reinforcement Learning; Evolutionary Computing; Genetic Algorithm; LIMO; Optimization; Sensor Odometry

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

APA (6th Edition):

Sehgal, A. (2019). Genetic Algorithm as Function Optimizer in Reinforcement Learning and Sensor Odometry. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/5776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sehgal, Adarsh. “Genetic Algorithm as Function Optimizer in Reinforcement Learning and Sensor Odometry.” 2019. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/5776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sehgal, Adarsh. “Genetic Algorithm as Function Optimizer in Reinforcement Learning and Sensor Odometry.” 2019. Web. 06 Mar 2021.

Vancouver:

Sehgal A. Genetic Algorithm as Function Optimizer in Reinforcement Learning and Sensor Odometry. [Internet] [Thesis]. University of Nevada – Reno; 2019. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/5776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sehgal A. Genetic Algorithm as Function Optimizer in Reinforcement Learning and Sensor Odometry. [Thesis]. University of Nevada – Reno; 2019. Available from: http://hdl.handle.net/11714/5776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Harris, Nicholas. Route Optimization for Automated Bridge Inspection with Genetic Algorithm.

Degree: 2019, University of Nevada – Reno

 We develop a Genetic Algorithm (GA) to generate efficient routes for a robotic bridge inspection team. Using robots to automate the process of bridge inspection… (more)

Subjects/Keywords: Arc Routing; Bridge Inspection; Chinese Postman; Genetic Algorithm; Robotics; Vehicle Routing

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

APA (6th Edition):

Harris, N. (2019). Route Optimization for Automated Bridge Inspection with Genetic Algorithm. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/6678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Harris, Nicholas. “Route Optimization for Automated Bridge Inspection with Genetic Algorithm.” 2019. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/6678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Harris, Nicholas. “Route Optimization for Automated Bridge Inspection with Genetic Algorithm.” 2019. Web. 06 Mar 2021.

Vancouver:

Harris N. Route Optimization for Automated Bridge Inspection with Genetic Algorithm. [Internet] [Thesis]. University of Nevada – Reno; 2019. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/6678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Harris N. Route Optimization for Automated Bridge Inspection with Genetic Algorithm. [Thesis]. University of Nevada – Reno; 2019. Available from: http://hdl.handle.net/11714/6678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Young, Zachary. Consensus, Cooperative Learning, and Flocking for Multi-agent Predator Avoidance.

Degree: 2020, University of Nevada – Reno

 Multi-agent coordination is highly desirable with many uses in a variety of tasks. In nature the phenomenon of coordinated flocking is highly common with applications… (more)

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

APA (6th Edition):

Young, Z. (2020). Consensus, Cooperative Learning, and Flocking for Multi-agent Predator Avoidance. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/7439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Young, Zachary. “Consensus, Cooperative Learning, and Flocking for Multi-agent Predator Avoidance.” 2020. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/7439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Young, Zachary. “Consensus, Cooperative Learning, and Flocking for Multi-agent Predator Avoidance.” 2020. Web. 06 Mar 2021.

Vancouver:

Young Z. Consensus, Cooperative Learning, and Flocking for Multi-agent Predator Avoidance. [Internet] [Thesis]. University of Nevada – Reno; 2020. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/7439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Young Z. Consensus, Cooperative Learning, and Flocking for Multi-agent Predator Avoidance. [Thesis]. University of Nevada – Reno; 2020. Available from: http://hdl.handle.net/11714/7439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Gibb, Spencer. Non-destructive Evaluation Sensor Data Processing and Fusion for Automated Inspection of Civil Infrastructure.

Degree: 2018, University of Nevada – Reno

 Data processing is an integral part of civil infrastructure inspection and enablesthe process to be efficient and easily interpreted. Civil infrastructures include bridges,parking garages, airport… (more)

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

APA (6th Edition):

Gibb, S. (2018). Non-destructive Evaluation Sensor Data Processing and Fusion for Automated Inspection of Civil Infrastructure. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/3413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gibb, Spencer. “Non-destructive Evaluation Sensor Data Processing and Fusion for Automated Inspection of Civil Infrastructure.” 2018. Thesis, University of Nevada – Reno. Accessed March 06, 2021. http://hdl.handle.net/11714/3413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gibb, Spencer. “Non-destructive Evaluation Sensor Data Processing and Fusion for Automated Inspection of Civil Infrastructure.” 2018. Web. 06 Mar 2021.

Vancouver:

Gibb S. Non-destructive Evaluation Sensor Data Processing and Fusion for Automated Inspection of Civil Infrastructure. [Internet] [Thesis]. University of Nevada – Reno; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11714/3413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gibb S. Non-destructive Evaluation Sensor Data Processing and Fusion for Automated Inspection of Civil Infrastructure. [Thesis]. University of Nevada – Reno; 2018. Available from: http://hdl.handle.net/11714/3413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.