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You searched for +publisher:"Georgia Tech" +contributor:("Yezzi, Anthony Joseph"). Showing records 1 – 5 of 5 total matches.

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Georgia Tech

1. Desai, Akshata Arvind. Asphalt pavement crack detection and classification using deep convolutional neural networks.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 The Georgia Department of Transport (GDOT) maintains around 12,000 miles of interstate roadways. Annual pavement surveys are conducted to report the condition of the pavement.… (more)

Subjects/Keywords: Convolutional neural networks; COPACES; Faster RCNN; Georgia Department of Transport; Crack fundamental element; Crack severity; Crack extent

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APA (6th Edition):

Desai, A. A. (2020). Asphalt pavement crack detection and classification using deep convolutional neural networks. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63693

Chicago Manual of Style (16th Edition):

Desai, Akshata Arvind. “Asphalt pavement crack detection and classification using deep convolutional neural networks.” 2020. Masters Thesis, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/63693.

MLA Handbook (7th Edition):

Desai, Akshata Arvind. “Asphalt pavement crack detection and classification using deep convolutional neural networks.” 2020. Web. 15 Apr 2021.

Vancouver:

Desai AA. Asphalt pavement crack detection and classification using deep convolutional neural networks. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/63693.

Council of Science Editors:

Desai AA. Asphalt pavement crack detection and classification using deep convolutional neural networks. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63693


Georgia Tech

2. Wang, Sen. Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 Chinese calligraphy is a unique art form with great artistic value but difficult to master. In this thesis, we formulate the calligraphy writing problem as… (more)

Subjects/Keywords: Motion and Path Planning; Optimization and Optimal Control; Modeling, Control, and Learning for Soft Robots

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APA (6th Edition):

Wang, S. (2020). Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64143

Chicago Manual of Style (16th Edition):

Wang, Sen. “Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.” 2020. Masters Thesis, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/64143.

MLA Handbook (7th Edition):

Wang, Sen. “Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.” 2020. Web. 15 Apr 2021.

Vancouver:

Wang S. Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/64143.

Council of Science Editors:

Wang S. Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64143


Georgia Tech

3. Zhao, Yipu. Improving the applicability of visual SLAM with submodular submatrix selection.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of the thesis is to improve the applicability of Visual Simultaneous Localization and Mapping (VSLAM) on diverse platforms and scenarios, which has broad… (more)

Subjects/Keywords: SLAM; Submatrix selection

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APA (6th Edition):

Zhao, Y. (2019). Improving the applicability of visual SLAM with submodular submatrix selection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62276

Chicago Manual of Style (16th Edition):

Zhao, Yipu. “Improving the applicability of visual SLAM with submodular submatrix selection.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/62276.

MLA Handbook (7th Edition):

Zhao, Yipu. “Improving the applicability of visual SLAM with submodular submatrix selection.” 2019. Web. 15 Apr 2021.

Vancouver:

Zhao Y. Improving the applicability of visual SLAM with submodular submatrix selection. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/62276.

Council of Science Editors:

Zhao Y. Improving the applicability of visual SLAM with submodular submatrix selection. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62276


Georgia Tech

4. Chu, Fu-Jen. Improving vision-based robotic manipulation with affordance understanding.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 The objective of the thesis is to improve robotic manipulation via vision-based affordance understanding, which would advance the application of robotics to industrial use cases,… (more)

Subjects/Keywords: Robotics; Vision; Deep learning; Affordance; Domain adaptation; Grasp; Grasping; Synthetic data

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APA (6th Edition):

Chu, F. (2020). Improving vision-based robotic manipulation with affordance understanding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63687

Chicago Manual of Style (16th Edition):

Chu, Fu-Jen. “Improving vision-based robotic manipulation with affordance understanding.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/63687.

MLA Handbook (7th Edition):

Chu, Fu-Jen. “Improving vision-based robotic manipulation with affordance understanding.” 2020. Web. 15 Apr 2021.

Vancouver:

Chu F. Improving vision-based robotic manipulation with affordance understanding. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/63687.

Council of Science Editors:

Chu F. Improving vision-based robotic manipulation with affordance understanding. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63687


Georgia Tech

5. Yolcu, Türkay. Parabolic systems and an underlying Lagrangian.

Degree: PhD, Mathematics, 2009, Georgia Tech

 In this thesis, we extend De Giorgi's interpolation method to a class of parabolic equations which are not gradient flows but possess an entropy functional… (more)

Subjects/Keywords: Lagrangian; PDE; Parabolic equations; Variational method; De Giorgi; Optimization; Differential equations, Parabolic; Lagrangian functions; Interpolation; Algorithms

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APA (6th Edition):

Yolcu, T. (2009). Parabolic systems and an underlying Lagrangian. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29760

Chicago Manual of Style (16th Edition):

Yolcu, Türkay. “Parabolic systems and an underlying Lagrangian.” 2009. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/29760.

MLA Handbook (7th Edition):

Yolcu, Türkay. “Parabolic systems and an underlying Lagrangian.” 2009. Web. 15 Apr 2021.

Vancouver:

Yolcu T. Parabolic systems and an underlying Lagrangian. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/29760.

Council of Science Editors:

Yolcu T. Parabolic systems and an underlying Lagrangian. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29760

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