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You searched for +publisher:"University of Texas – Austin" +contributor:("Djurdjanovic, Dragan"). Showing records 1 – 17 of 17 total matches.

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University of Texas – Austin

1. -1841-7096. Gaussian process regression for virtual metrology of microchip quality and the resulting strategic sampling scheme.

Degree: MSin Engineering, Mechanical Engineering, 2017, University of Texas – Austin

 Manufacturing of integrated circuits involves many sequential processes, often ex- ecuted to nanoscale tolerances, and the yield depends on the often unmeasured quality of intermediate… (more)

Subjects/Keywords: Gaussian process regression; Plasma-enhanced chemical vapor deposition; Active learning; Virtual metrology; Process drift

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APA (6th Edition):

-1841-7096. (2017). Gaussian process regression for virtual metrology of microchip quality and the resulting strategic sampling scheme. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61673

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-1841-7096. “Gaussian process regression for virtual metrology of microchip quality and the resulting strategic sampling scheme.” 2017. Masters Thesis, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/61673.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-1841-7096. “Gaussian process regression for virtual metrology of microchip quality and the resulting strategic sampling scheme.” 2017. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1841-7096. Gaussian process regression for virtual metrology of microchip quality and the resulting strategic sampling scheme. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/61673.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-1841-7096. Gaussian process regression for virtual metrology of microchip quality and the resulting strategic sampling scheme. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61673

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

2. Cherala, Anshuman. Nanoshape imprint lithography : fabrication and modeling.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 Complex nanoshaped structures have been shown to enable emerging nanoscale applications in energy, electronics, photonics and medicine. Such nanoshaped fabrication at high throughput is well… (more)

Subjects/Keywords: Nanoshape patterning; Imprint lithography; Molecular dynamics

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APA (6th Edition):

Cherala, A. (2019). Nanoshape imprint lithography : fabrication and modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2083

Chicago Manual of Style (16th Edition):

Cherala, Anshuman. “Nanoshape imprint lithography : fabrication and modeling.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://dx.doi.org/10.26153/tsw/2083.

MLA Handbook (7th Edition):

Cherala, Anshuman. “Nanoshape imprint lithography : fabrication and modeling.” 2019. Web. 19 Sep 2020.

Vancouver:

Cherala A. Nanoshape imprint lithography : fabrication and modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Sep 19]. Available from: http://dx.doi.org/10.26153/tsw/2083.

Council of Science Editors:

Cherala A. Nanoshape imprint lithography : fabrication and modeling. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2083


University of Texas – Austin

3. -3659-7809. A hand exoskeleton for study of rehabilitation and assistance of spinal cord injury patients.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 A large number of people experience neurological disorders in their life time, and these patients seek to regain their body functions with rehabilitation and assistive… (more)

Subjects/Keywords: Hand; Exoskeleton; Spinal cord injury; Rehabilitation; Assistive device

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APA (6th Edition):

-3659-7809. (2019). A hand exoskeleton for study of rehabilitation and assistance of spinal cord injury patients. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2438

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-3659-7809. “A hand exoskeleton for study of rehabilitation and assistance of spinal cord injury patients.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://dx.doi.org/10.26153/tsw/2438.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-3659-7809. “A hand exoskeleton for study of rehabilitation and assistance of spinal cord injury patients.” 2019. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3659-7809. A hand exoskeleton for study of rehabilitation and assistance of spinal cord injury patients. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Sep 19]. Available from: http://dx.doi.org/10.26153/tsw/2438.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-3659-7809. A hand exoskeleton for study of rehabilitation and assistance of spinal cord injury patients. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2438

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

4. Bleakie, Alexander Q. Integrated performance prediction and quality control in manufacturing systems.

Degree: PhD, Mechanical Engineering, 2014, University of Texas – Austin

 Predicting the condition of a degrading dynamic system is critical for implementing successful control and designing the optimal operation and maintenance strategies throughout the lifetime… (more)

Subjects/Keywords: Predictive health monitoring; Performance prediction; Virtual metrology; Quality control; Estimation; Control

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APA (6th Edition):

Bleakie, A. Q. (2014). Integrated performance prediction and quality control in manufacturing systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28425

Chicago Manual of Style (16th Edition):

Bleakie, Alexander Q. “Integrated performance prediction and quality control in manufacturing systems.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/28425.

MLA Handbook (7th Edition):

Bleakie, Alexander Q. “Integrated performance prediction and quality control in manufacturing systems.” 2014. Web. 19 Sep 2020.

Vancouver:

Bleakie AQ. Integrated performance prediction and quality control in manufacturing systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/28425.

Council of Science Editors:

Bleakie AQ. Integrated performance prediction and quality control in manufacturing systems. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28425

5. Xie, Haoran, active 21st century. Identification of individual slit valves in semiconductor manufacturing fab based on their vibration signatures.

Degree: MSin Engineering, Mechanical Engineering, 2014, University of Texas – Austin

 Slit valves play an important role in semiconductor manufacturing industry. They enable creation of a vacuum environment required for wafer processing. Due to the high… (more)

Subjects/Keywords: Slit valves; Semiconductor manufacturing; Vibrations based monitoring

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APA (6th Edition):

Xie, Haoran, a. 2. c. (2014). Identification of individual slit valves in semiconductor manufacturing fab based on their vibration signatures. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28279

Chicago Manual of Style (16th Edition):

Xie, Haoran, active 21st century. “Identification of individual slit valves in semiconductor manufacturing fab based on their vibration signatures.” 2014. Masters Thesis, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/28279.

MLA Handbook (7th Edition):

Xie, Haoran, active 21st century. “Identification of individual slit valves in semiconductor manufacturing fab based on their vibration signatures.” 2014. Web. 19 Sep 2020.

Vancouver:

Xie, Haoran a2c. Identification of individual slit valves in semiconductor manufacturing fab based on their vibration signatures. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/28279.

Council of Science Editors:

Xie, Haoran a2c. Identification of individual slit valves in semiconductor manufacturing fab based on their vibration signatures. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28279

6. Musselman, Marcus William. Monitoring of biomedical systems using non-stationary signal analysis.

Degree: PhD, Mechanical Engineering, 2013, University of Texas – Austin

 Monitoring of engineered systems consists of characterizing the normal behavior of the system and tracking departures from it. Techniques to monitor a system can be… (more)

Subjects/Keywords: Anomaly detections; System-based monitoring; Biomedical systems; Time frequency distributions

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APA (6th Edition):

Musselman, M. W. (2013). Monitoring of biomedical systems using non-stationary signal analysis. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/23248

Chicago Manual of Style (16th Edition):

Musselman, Marcus William. “Monitoring of biomedical systems using non-stationary signal analysis.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/23248.

MLA Handbook (7th Edition):

Musselman, Marcus William. “Monitoring of biomedical systems using non-stationary signal analysis.” 2013. Web. 19 Sep 2020.

Vancouver:

Musselman MW. Monitoring of biomedical systems using non-stationary signal analysis. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/23248.

Council of Science Editors:

Musselman MW. Monitoring of biomedical systems using non-stationary signal analysis. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/23248


University of Texas – Austin

7. -7739-8836. Data-driven methods for improved decision-making in the chemical process industries.

Degree: PhD, Chemical Engineering, 2020, University of Texas – Austin

 Recent decades have prompted chemical manufacturers to consider new operating paradigms. Globalization and other market trends have reduced profit margins and emphasized the need for… (more)

Subjects/Keywords: Process systems engineering; Optimal scheduling and control

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APA (6th Edition):

-7739-8836. (2020). Data-driven methods for improved decision-making in the chemical process industries. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/9108

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7739-8836. “Data-driven methods for improved decision-making in the chemical process industries.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://dx.doi.org/10.26153/tsw/9108.

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Author name may be incomplete

MLA Handbook (7th Edition):

-7739-8836. “Data-driven methods for improved decision-making in the chemical process industries.” 2020. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7739-8836. Data-driven methods for improved decision-making in the chemical process industries. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2020 Sep 19]. Available from: http://dx.doi.org/10.26153/tsw/9108.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7739-8836. Data-driven methods for improved decision-making in the chemical process industries. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/9108

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Author name may be incomplete


University of Texas – Austin

8. Ma, Yao, Ph. D. Synergistic and intelligent control of vehicle powertrain-aftertreatment systems.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 This study aims to investigate the potential improvement of energy efficiency and emission performance for a ground transportation system equipped with connected and automated vehicles… (more)

Subjects/Keywords: Vehicle energy and emission; Connected and automated vehicles; Connected vehicles; Automated vehicles; Vehicle emissions; Vehicle energy efficiency; Vehicle powertrain; Vehicle aftertreatment; Selective catalytic reduction controller; Predictive control methods; Human driver behavior; Driver behavior evaluation

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APA (6th Edition):

Ma, Yao, P. D. (2019). Synergistic and intelligent control of vehicle powertrain-aftertreatment systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2951

Chicago Manual of Style (16th Edition):

Ma, Yao, Ph D. “Synergistic and intelligent control of vehicle powertrain-aftertreatment systems.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://dx.doi.org/10.26153/tsw/2951.

MLA Handbook (7th Edition):

Ma, Yao, Ph D. “Synergistic and intelligent control of vehicle powertrain-aftertreatment systems.” 2019. Web. 19 Sep 2020.

Vancouver:

Ma, Yao PD. Synergistic and intelligent control of vehicle powertrain-aftertreatment systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Sep 19]. Available from: http://dx.doi.org/10.26153/tsw/2951.

Council of Science Editors:

Ma, Yao PD. Synergistic and intelligent control of vehicle powertrain-aftertreatment systems. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2951


University of Texas – Austin

9. -6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.

Degree: PhD, Operations Research and Industrial Engineering, 2018, University of Texas – Austin

 Condition-based maintenance (CBM) can be viewed as a transformation of data gathered from a piece of equipment into information about its condition, and further into… (more)

Subjects/Keywords: Hidden Markov model; Condition-based maintenance

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APA (6th Edition):

-6024-5216. (2018). Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63715

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6024-5216. “Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/63715.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6024-5216. “Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.” 2018. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/63715.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63715

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

10. -2430-3116. Integrated decision-making framework for preventive maintenance scheduling and spare part logistic planning.

Degree: PhD, Operations Research and Industrial Engineering, 2018, University of Texas – Austin

 Maintenance scheduling for geographically distributed assets intricately and closely depends on the locations and availability of spare parts, which motivates the joint decision-making on the… (more)

Subjects/Keywords: Optimization; Spare part logistics; Preventive maintenance

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APA (6th Edition):

-2430-3116. (2018). Integrated decision-making framework for preventive maintenance scheduling and spare part logistic planning. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63737

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-2430-3116. “Integrated decision-making framework for preventive maintenance scheduling and spare part logistic planning.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/63737.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-2430-3116. “Integrated decision-making framework for preventive maintenance scheduling and spare part logistic planning.” 2018. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-2430-3116. Integrated decision-making framework for preventive maintenance scheduling and spare part logistic planning. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/63737.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-2430-3116. Integrated decision-making framework for preventive maintenance scheduling and spare part logistic planning. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63737

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

11. -5443-2090. Delineating abnormal coordination patterns in post-stroke gait : a multidisciplinary approach.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 Stroke is the largest cause of long-term disability in U.S. where majority of the survivors experience impairments such as muscle weakness, spasticity and abnormal coordination.… (more)

Subjects/Keywords: Stroke; Gait; Movement disorder; Abnormal coordination; Rehabilitation robotics; Exoskeletons; Musculoskeletal simulation; Neurophysiology

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APA (6th Edition):

-5443-2090. (2019). Delineating abnormal coordination patterns in post-stroke gait : a multidisciplinary approach. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1373

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5443-2090. “Delineating abnormal coordination patterns in post-stroke gait : a multidisciplinary approach.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://dx.doi.org/10.26153/tsw/1373.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5443-2090. “Delineating abnormal coordination patterns in post-stroke gait : a multidisciplinary approach.” 2019. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5443-2090. Delineating abnormal coordination patterns in post-stroke gait : a multidisciplinary approach. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Sep 19]. Available from: http://dx.doi.org/10.26153/tsw/1373.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5443-2090. Delineating abnormal coordination patterns in post-stroke gait : a multidisciplinary approach. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1373

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

12. -6028-0636. Cost-conscious control strategies for wind turbine systems.

Degree: PhD, Mechanical Engineering, 2017, University of Texas – Austin

 Wind energy is one of the most abundant renewable energy sources that can meet future energy demands. Despite its fast growth, wind energy is still… (more)

Subjects/Keywords: Wind turbine; Wind energy; Adaptive algorithm; Power dispatch; Frequency regulation; Energy maximization; Fatigue mitigation

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APA (6th Edition):

-6028-0636. (2017). Cost-conscious control strategies for wind turbine systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47462

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6028-0636. “Cost-conscious control strategies for wind turbine systems.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/47462.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6028-0636. “Cost-conscious control strategies for wind turbine systems.” 2017. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6028-0636. Cost-conscious control strategies for wind turbine systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/47462.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6028-0636. Cost-conscious control strategies for wind turbine systems. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/47462

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

13. Komodromos, Sotiris. Extraction of useful signals from noise using advanced time-frequency analysis in Enhanced Oil Recovery.

Degree: MSin Engineering, Engineering Mechanics, 2017, University of Texas – Austin

 In Enhanced Oil Recovery (EOR), the injected CO2 does not distribute evenly through ground layers and often is not going to the desired direction. The… (more)

Subjects/Keywords: Tube waves; Guided waves; Time-frequency domains; Enhanced oil recovery

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APA (6th Edition):

Komodromos, S. (2017). Extraction of useful signals from noise using advanced time-frequency analysis in Enhanced Oil Recovery. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63954

Chicago Manual of Style (16th Edition):

Komodromos, Sotiris. “Extraction of useful signals from noise using advanced time-frequency analysis in Enhanced Oil Recovery.” 2017. Masters Thesis, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/63954.

MLA Handbook (7th Edition):

Komodromos, Sotiris. “Extraction of useful signals from noise using advanced time-frequency analysis in Enhanced Oil Recovery.” 2017. Web. 19 Sep 2020.

Vancouver:

Komodromos S. Extraction of useful signals from noise using advanced time-frequency analysis in Enhanced Oil Recovery. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/63954.

Council of Science Editors:

Komodromos S. Extraction of useful signals from noise using advanced time-frequency analysis in Enhanced Oil Recovery. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63954

14. -3719-5780. High-throughput, tip-based in-line nanometrology in semiconductor and nano-featured manufacturing.

Degree: PhD, Mechanical engineering, 2019, University of Texas – Austin

 A high-throughput, tip-based, in-line nanometrology system that can be helpful for developing closed-loop process control in nanomanufacturing of semiconductor industries. One of the most significant… (more)

Subjects/Keywords: High-throughput; Tip-based nanometrology; In-line; Inspection; Nanomanufacturing; Semiconductor; Hotspot

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APA (6th Edition):

-3719-5780. (2019). High-throughput, tip-based in-line nanometrology in semiconductor and nano-featured manufacturing. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1059

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-3719-5780. “High-throughput, tip-based in-line nanometrology in semiconductor and nano-featured manufacturing.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://dx.doi.org/10.26153/tsw/1059.

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Author name may be incomplete

MLA Handbook (7th Edition):

-3719-5780. “High-throughput, tip-based in-line nanometrology in semiconductor and nano-featured manufacturing.” 2019. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3719-5780. High-throughput, tip-based in-line nanometrology in semiconductor and nano-featured manufacturing. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Sep 19]. Available from: http://dx.doi.org/10.26153/tsw/1059.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-3719-5780. High-throughput, tip-based in-line nanometrology in semiconductor and nano-featured manufacturing. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1059

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Author name may be incomplete

15. -5025-2877. Cognition in dynamical systems.

Degree: PhD, Mechanical Engineering, 2017, University of Texas – Austin

 Cognition is the process of knowing. As carried out by a dynamical system, it is the process by which the system absorbs information into its… (more)

Subjects/Keywords: Cognition; Dynamical systems; Complex networks; Artificial neural networks; Emergence; Context

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

APA (6th Edition):

-5025-2877. (2017). Cognition in dynamical systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68150

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5025-2877. “Cognition in dynamical systems.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/68150.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5025-2877. “Cognition in dynamical systems.” 2017. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5025-2877. Cognition in dynamical systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/68150.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5025-2877. Cognition in dynamical systems. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/68150

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

16. -2932-5728. Modeling and control of drillstring dynamics for vibration suppression.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 Drill-string vibrations could cause fatigue failure to downhole tools, bring damage to the wellbore, and decrease drilling efficiency; therefore, it is important to understand the… (more)

Subjects/Keywords: Drilling vibration; Finite element method; Drillstring dynamics; Vibration suppression; Drill-string vibrations; Directional drill-string; Wellbore interaction model

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

APA (6th Edition):

-2932-5728. (2019). Modeling and control of drillstring dynamics for vibration suppression. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2872

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-2932-5728. “Modeling and control of drillstring dynamics for vibration suppression.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://dx.doi.org/10.26153/tsw/2872.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-2932-5728. “Modeling and control of drillstring dynamics for vibration suppression.” 2019. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-2932-5728. Modeling and control of drillstring dynamics for vibration suppression. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Sep 19]. Available from: http://dx.doi.org/10.26153/tsw/2872.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-2932-5728. Modeling and control of drillstring dynamics for vibration suppression. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2872

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

17. -5100-5600. Improving process monitoring and modeling of batch-type plasma etching tools.

Degree: PhD, Chemical Engineering, 2015, University of Texas – Austin

 Manufacturing equipments in semiconductor factories (fabs) provide abundant data and opportunities for data-driven process monitoring and modeling. In particular, virtual metrology (VM) is an active… (more)

Subjects/Keywords: PLS; Fault detection; Soft sensor; Inferential sensor; Virtual metrology; Variable selection; Time warping; Multiple model systems; PCA; Partial least squares; Etching; Semiconductor; Control; Data-driven; Multivariate; Machine learning

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

APA (6th Edition):

-5100-5600. (2015). Improving process monitoring and modeling of batch-type plasma etching tools. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30486

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5100-5600. “Improving process monitoring and modeling of batch-type plasma etching tools.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed September 19, 2020. http://hdl.handle.net/2152/30486.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5100-5600. “Improving process monitoring and modeling of batch-type plasma etching tools.” 2015. Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5100-5600. Improving process monitoring and modeling of batch-type plasma etching tools. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/2152/30486.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5100-5600. Improving process monitoring and modeling of batch-type plasma etching tools. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30486

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

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