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You searched for +publisher:"Texas A&M University" +contributor:("Choe, Yoonsuck"). Showing records 1 – 30 of 118 total matches.

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Texas A&M University

1. Li, Youjie. Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition.

Degree: MS, Computer Engineering, 2016, Texas A&M University

 There is a growing concern over reliability, power consumption, and performance of traditional Von Neumann machines, especially when dealing with complex tasks like pattern recognition.… (more)

Subjects/Keywords: Neuromorphic VLSI; spiking neural networks; approximate computing; pattern recognition

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APA (6th Edition):

Li, Y. (2016). Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156946

Chicago Manual of Style (16th Edition):

Li, Youjie. “Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition.” 2016. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/156946.

MLA Handbook (7th Edition):

Li, Youjie. “Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition.” 2016. Web. 09 May 2021.

Vancouver:

Li Y. Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/156946.

Council of Science Editors:

Li Y. Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156946


Texas A&M University

2. Taele, Paul Piula. Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages.

Degree: MS, Computer Science, 2011, Texas A&M University

 One of the challenges students face in studying an East Asian (EA) language (e.g., Chinese, Japanese, and Korean) as a second language is mastering their… (more)

Subjects/Keywords: sketch recognition; computer-assisted language learning; East Asian languages

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APA (6th Edition):

Taele, P. P. (2011). Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8977

Chicago Manual of Style (16th Edition):

Taele, Paul Piula. “Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages.” 2011. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8977.

MLA Handbook (7th Edition):

Taele, Paul Piula. “Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages.” 2011. Web. 09 May 2021.

Vancouver:

Taele PP. Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8977.

Council of Science Editors:

Taele PP. Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8977


Texas A&M University

3. Lim, Sungjun. Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope Rat Nissl Data Set Using a Computing Cluster.

Degree: MS, Computer Science, 2015, Texas A&M University

 3D reconstruction of the neurovascular networks in the brain is a first step toward the analysis of their function. However, existing three dimensional imaging techniques… (more)

Subjects/Keywords: Neuroscience; Vasculature; A computing cluster

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APA (6th Edition):

Lim, S. (2015). Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope Rat Nissl Data Set Using a Computing Cluster. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156486

Chicago Manual of Style (16th Edition):

Lim, Sungjun. “Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope Rat Nissl Data Set Using a Computing Cluster.” 2015. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/156486.

MLA Handbook (7th Edition):

Lim, Sungjun. “Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope Rat Nissl Data Set Using a Computing Cluster.” 2015. Web. 09 May 2021.

Vancouver:

Lim S. Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope Rat Nissl Data Set Using a Computing Cluster. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/156486.

Council of Science Editors:

Lim S. Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope Rat Nissl Data Set Using a Computing Cluster. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156486


Texas A&M University

4. An, Woo Kyung. Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse and Rat Brain Nissl Stained Data Sets.

Degree: MS, Computer Science, 2016, Texas A&M University

 The Knife-Edge Scanning Microscope (KESM), developed at the Brain Network Laboratory at Texas A&M University, can image a whole small animal brain at sub- micrometer… (more)

Subjects/Keywords: KESM; neural network; signal processing; image processing; biomedical imaging; brain imaging

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APA (6th Edition):

An, W. K. (2016). Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse and Rat Brain Nissl Stained Data Sets. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157988

Chicago Manual of Style (16th Edition):

An, Woo Kyung. “Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse and Rat Brain Nissl Stained Data Sets.” 2016. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/157988.

MLA Handbook (7th Edition):

An, Woo Kyung. “Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse and Rat Brain Nissl Stained Data Sets.” 2016. Web. 09 May 2021.

Vancouver:

An WK. Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse and Rat Brain Nissl Stained Data Sets. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/157988.

Council of Science Editors:

An WK. Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse and Rat Brain Nissl Stained Data Sets. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157988


Texas A&M University

5. Zhang, Wencong. Real-Time Image Error Detection in Knife-Edge Scanning Microscope.

Degree: MS, Computer Science, 2014, Texas A&M University

 Research about the microstructure of the brain provides important information to help understand the functions of the brain. In order to investigate large volume, high-resolution… (more)

Subjects/Keywords: error detection; KESM

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APA (6th Edition):

Zhang, W. (2014). Real-Time Image Error Detection in Knife-Edge Scanning Microscope. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153868

Chicago Manual of Style (16th Edition):

Zhang, Wencong. “Real-Time Image Error Detection in Knife-Edge Scanning Microscope.” 2014. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/153868.

MLA Handbook (7th Edition):

Zhang, Wencong. “Real-Time Image Error Detection in Knife-Edge Scanning Microscope.” 2014. Web. 09 May 2021.

Vancouver:

Zhang W. Real-Time Image Error Detection in Knife-Edge Scanning Microscope. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/153868.

Council of Science Editors:

Zhang W. Real-Time Image Error Detection in Knife-Edge Scanning Microscope. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153868


Texas A&M University

6. Yang, Wenjie. Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope India Ink Data Set.

Degree: MS, Computer Science, 2014, Texas A&M University

 The 3D reconstruction of neurovascular network plays an important role in understanding the functions of the blood vessels in different brain regions. Many techniques have… (more)

Subjects/Keywords: Neurovascular Tracing; Vector-based Tracing Algorithm; Seed Point Selection

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APA (6th Edition):

Yang, W. (2014). Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope India Ink Data Set. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153950

Chicago Manual of Style (16th Edition):

Yang, Wenjie. “Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope India Ink Data Set.” 2014. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/153950.

MLA Handbook (7th Edition):

Yang, Wenjie. “Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope India Ink Data Set.” 2014. Web. 09 May 2021.

Vancouver:

Yang W. Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope India Ink Data Set. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/153950.

Council of Science Editors:

Yang W. Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope India Ink Data Set. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153950


Texas A&M University

7. Lal Das, Shashwat. Cell Detection in Knife-Edge Scanning Microscopy Images of Nissl-stained Mouse and Rat Brain Samples Using Random Forests.

Degree: MS, Computer Science, 2014, Texas A&M University

 Microscopy has developed into a very powerful medium for studying the brain. The Knife-Edge Scanning Microscope (KESM), for example, is capable of imaging whole rat… (more)

Subjects/Keywords: cell detection; image analysis; microscope image processing; random forests

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APA (6th Edition):

Lal Das, S. (2014). Cell Detection in Knife-Edge Scanning Microscopy Images of Nissl-stained Mouse and Rat Brain Samples Using Random Forests. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154108

Chicago Manual of Style (16th Edition):

Lal Das, Shashwat. “Cell Detection in Knife-Edge Scanning Microscopy Images of Nissl-stained Mouse and Rat Brain Samples Using Random Forests.” 2014. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/154108.

MLA Handbook (7th Edition):

Lal Das, Shashwat. “Cell Detection in Knife-Edge Scanning Microscopy Images of Nissl-stained Mouse and Rat Brain Samples Using Random Forests.” 2014. Web. 09 May 2021.

Vancouver:

Lal Das S. Cell Detection in Knife-Edge Scanning Microscopy Images of Nissl-stained Mouse and Rat Brain Samples Using Random Forests. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/154108.

Council of Science Editors:

Lal Das S. Cell Detection in Knife-Edge Scanning Microscopy Images of Nissl-stained Mouse and Rat Brain Samples Using Random Forests. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154108


Texas A&M University

8. Sunder, Gowrishankar. Error Correction Using Probabilistic Language Models.

Degree: MS, Computer Science, 2015, Texas A&M University

 Error Correction has applications in a variety of domains given the prevalence of errors of various kinds and the need to programmatically correct them as… (more)

Subjects/Keywords: Error Correction; Natural Language Processing; LDA; Topic Model; n-gram

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APA (6th Edition):

Sunder, G. (2015). Error Correction Using Probabilistic Language Models. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155125

Chicago Manual of Style (16th Edition):

Sunder, Gowrishankar. “Error Correction Using Probabilistic Language Models.” 2015. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/155125.

MLA Handbook (7th Edition):

Sunder, Gowrishankar. “Error Correction Using Probabilistic Language Models.” 2015. Web. 09 May 2021.

Vancouver:

Sunder G. Error Correction Using Probabilistic Language Models. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/155125.

Council of Science Editors:

Sunder G. Error Correction Using Probabilistic Language Models. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155125


Texas A&M University

9. Yan, Xu. Where Does Your Intent Go and How It Behaves? A Robustness Study of Intent Reachability and Handling in Android Systems.

Degree: MS, Computer Science, 2015, Texas A&M University

 In Android systems, inter-process communication relies heavily on intent, which can be understood as a message between apps. However, (i)intents can be hijacked when they… (more)

Subjects/Keywords: Android; Intent; Fuzzing Test

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APA (6th Edition):

Yan, X. (2015). Where Does Your Intent Go and How It Behaves? A Robustness Study of Intent Reachability and Handling in Android Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155311

Chicago Manual of Style (16th Edition):

Yan, Xu. “Where Does Your Intent Go and How It Behaves? A Robustness Study of Intent Reachability and Handling in Android Systems.” 2015. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/155311.

MLA Handbook (7th Edition):

Yan, Xu. “Where Does Your Intent Go and How It Behaves? A Robustness Study of Intent Reachability and Handling in Android Systems.” 2015. Web. 09 May 2021.

Vancouver:

Yan X. Where Does Your Intent Go and How It Behaves? A Robustness Study of Intent Reachability and Handling in Android Systems. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/155311.

Council of Science Editors:

Yan X. Where Does Your Intent Go and How It Behaves? A Robustness Study of Intent Reachability and Handling in Android Systems. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155311


Texas A&M University

10. Thulasiraman, Kumaran. Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards.

Degree: MS, Computer Engineering, 2015, Texas A&M University

 This thesis presents a new reinforcement learning mechanism suitable to be employed in artificial spiking neural networks of leaky integrate-and-fire (LIF) or Izhikevich neurons. The… (more)

Subjects/Keywords: reinforcement learning; spiking neural networks; dopamine-modulated; STDP

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APA (6th Edition):

Thulasiraman, K. (2015). Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155519

Chicago Manual of Style (16th Edition):

Thulasiraman, Kumaran. “Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards.” 2015. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/155519.

MLA Handbook (7th Edition):

Thulasiraman, Kumaran. “Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards.” 2015. Web. 09 May 2021.

Vancouver:

Thulasiraman K. Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/155519.

Council of Science Editors:

Thulasiraman K. Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155519


Texas A&M University

11. Singhal, Ankur. Skeletonization-Based Automated Tracing and Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse Brain India Ink Dataset.

Degree: MS, Computer Science, 2015, Texas A&M University

 The vascular architecture of the brain is very complex and reconstruction of this architecture can aid in understanding the functions of vessels in different regions… (more)

Subjects/Keywords: Neurovascular; tracing

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APA (6th Edition):

Singhal, A. (2015). Skeletonization-Based Automated Tracing and Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse Brain India Ink Dataset. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155652

Chicago Manual of Style (16th Edition):

Singhal, Ankur. “Skeletonization-Based Automated Tracing and Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse Brain India Ink Dataset.” 2015. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/155652.

MLA Handbook (7th Edition):

Singhal, Ankur. “Skeletonization-Based Automated Tracing and Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse Brain India Ink Dataset.” 2015. Web. 09 May 2021.

Vancouver:

Singhal A. Skeletonization-Based Automated Tracing and Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse Brain India Ink Dataset. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/155652.

Council of Science Editors:

Singhal A. Skeletonization-Based Automated Tracing and Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse Brain India Ink Dataset. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155652


Texas A&M University

12. Polsley, Seth C. Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication.

Degree: MS, Computer Engineering, 2017, Texas A&M University

 Between appointments, healthcare providers have limited interaction with their patients, but patients have similar patterns of care. Medications have common side effects; injuries have an… (more)

Subjects/Keywords: biomedical informatics; ontology; natural language processing; machine learning; clustering; outcomes of care; redaction; episodes of care; corpus annotation

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APA (6th Edition):

Polsley, S. C. (2017). Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166089

Chicago Manual of Style (16th Edition):

Polsley, Seth C. “Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication.” 2017. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/166089.

MLA Handbook (7th Edition):

Polsley, Seth C. “Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication.” 2017. Web. 09 May 2021.

Vancouver:

Polsley SC. Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/166089.

Council of Science Editors:

Polsley SC. Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166089


Texas A&M University

13. Bansal, Nitin Kumar. Can We Gain More from Orthogonality Regularizations in Training Deep Networks?.

Degree: MS, Computer Engineering, 2018, Texas A&M University

 1This work seeks to answer the question: as the (near-) orthogonality of weights is found to be a favorable property for training deep convolutional neural… (more)

Subjects/Keywords: Orthogonality; CNNs; Restricted Isometric Property

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APA (6th Edition):

Bansal, N. K. (2018). Can We Gain More from Orthogonality Regularizations in Training Deep Networks?. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174565

Chicago Manual of Style (16th Edition):

Bansal, Nitin Kumar. “Can We Gain More from Orthogonality Regularizations in Training Deep Networks?.” 2018. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/174565.

MLA Handbook (7th Edition):

Bansal, Nitin Kumar. “Can We Gain More from Orthogonality Regularizations in Training Deep Networks?.” 2018. Web. 09 May 2021.

Vancouver:

Bansal NK. Can We Gain More from Orthogonality Regularizations in Training Deep Networks?. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/174565.

Council of Science Editors:

Bansal NK. Can We Gain More from Orthogonality Regularizations in Training Deep Networks?. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174565


Texas A&M University

14. Wang, Qian. Architectures and Design of VLSI Machine Learning Systems.

Degree: PhD, Computer Engineering, 2016, Texas A&M University

 Quintillions of bytes of data are generated every day in this era of big data. Machine learning techniques are utilized to perform predictive analysis on… (more)

Subjects/Keywords: Machine learning; VLSI architecture

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APA (6th Edition):

Wang, Q. (2016). Architectures and Design of VLSI Machine Learning Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158093

Chicago Manual of Style (16th Edition):

Wang, Qian. “Architectures and Design of VLSI Machine Learning Systems.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/158093.

MLA Handbook (7th Edition):

Wang, Qian. “Architectures and Design of VLSI Machine Learning Systems.” 2016. Web. 09 May 2021.

Vancouver:

Wang Q. Architectures and Design of VLSI Machine Learning Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/158093.

Council of Science Editors:

Wang Q. Architectures and Design of VLSI Machine Learning Systems. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158093


Texas A&M University

15. Niu, Wei. Ehancing Geo-Social Systems: Profiling, Ranking and Recommendation.

Degree: PhD, Computer Engineering, 2017, Texas A&M University

 The global sharing of fine-grained geo-spatial footprints – via smart mobile devices and social media services (e.g., Facebook, Twitter, Flickr) – is leading to the… (more)

Subjects/Keywords: Geo-social System; Profiling; Ranking; Recommendation; User Profiling; Tag Distribution Estimation; Local Expert; Image Recommendation

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APA (6th Edition):

Niu, W. (2017). Ehancing Geo-Social Systems: Profiling, Ranking and Recommendation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173102

Chicago Manual of Style (16th Edition):

Niu, Wei. “Ehancing Geo-Social Systems: Profiling, Ranking and Recommendation.” 2017. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/173102.

MLA Handbook (7th Edition):

Niu, Wei. “Ehancing Geo-Social Systems: Profiling, Ranking and Recommendation.” 2017. Web. 09 May 2021.

Vancouver:

Niu W. Ehancing Geo-Social Systems: Profiling, Ranking and Recommendation. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/173102.

Council of Science Editors:

Niu W. Ehancing Geo-Social Systems: Profiling, Ranking and Recommendation. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173102


Texas A&M University

16. Shin, Sungtae. Myoelectric Human Computer Interaction Using Reliable Temporal Sequence-based Myoelectric Classification for Dynamic Hand Gestures.

Degree: PhD, Mechanical Engineering, 2016, Texas A&M University

 To put a computerized device under human control, various interface techniques have been commonly studied in the realm of Human Computer Interaction (HCI) design. What… (more)

Subjects/Keywords: Human Computer Interaction (HCI); myoelectric classification; myoelectric interface

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APA (6th Edition):

Shin, S. (2016). Myoelectric Human Computer Interaction Using Reliable Temporal Sequence-based Myoelectric Classification for Dynamic Hand Gestures. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174271

Chicago Manual of Style (16th Edition):

Shin, Sungtae. “Myoelectric Human Computer Interaction Using Reliable Temporal Sequence-based Myoelectric Classification for Dynamic Hand Gestures.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/174271.

MLA Handbook (7th Edition):

Shin, Sungtae. “Myoelectric Human Computer Interaction Using Reliable Temporal Sequence-based Myoelectric Classification for Dynamic Hand Gestures.” 2016. Web. 09 May 2021.

Vancouver:

Shin S. Myoelectric Human Computer Interaction Using Reliable Temporal Sequence-based Myoelectric Classification for Dynamic Hand Gestures. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/174271.

Council of Science Editors:

Shin S. Myoelectric Human Computer Interaction Using Reliable Temporal Sequence-based Myoelectric Classification for Dynamic Hand Gestures. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174271


Texas A&M University

17. Narayana, Sushirdeep. Affect Recognition Using Electroencephalography Features.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Affect is the psychological display of emotion often described with three principal dimensions: 1) valence 2) arousal and 3) dominance. This thesis work explores the… (more)

Subjects/Keywords: affect; electroencephalography; machine learning; Support Vector Machines; feature selection

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APA (6th Edition):

Narayana, S. (2017). Affect Recognition Using Electroencephalography Features. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161603

Chicago Manual of Style (16th Edition):

Narayana, Sushirdeep. “Affect Recognition Using Electroencephalography Features.” 2017. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/161603.

MLA Handbook (7th Edition):

Narayana, Sushirdeep. “Affect Recognition Using Electroencephalography Features.” 2017. Web. 09 May 2021.

Vancouver:

Narayana S. Affect Recognition Using Electroencephalography Features. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/161603.

Council of Science Editors:

Narayana S. Affect Recognition Using Electroencephalography Features. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161603


Texas A&M University

18. Fine, Benjamin Thomas. Constructing Geometries for Group Control: Methods for Reasoning about Social Behaviors.

Degree: PhD, Computer Science, 2015, Texas A&M University

 Social behaviors in groups has been the subjects of hundreds of studies in a variety of research disciplines, including biology, physics, and robotics. In particular,… (more)

Subjects/Keywords: Distributed Robotics; Group Control; Group Manipulation; Emergent Behaviors; Collective Motion

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APA (6th Edition):

Fine, B. T. (2015). Constructing Geometries for Group Control: Methods for Reasoning about Social Behaviors. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174671

Chicago Manual of Style (16th Edition):

Fine, Benjamin Thomas. “Constructing Geometries for Group Control: Methods for Reasoning about Social Behaviors.” 2015. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/174671.

MLA Handbook (7th Edition):

Fine, Benjamin Thomas. “Constructing Geometries for Group Control: Methods for Reasoning about Social Behaviors.” 2015. Web. 09 May 2021.

Vancouver:

Fine BT. Constructing Geometries for Group Control: Methods for Reasoning about Social Behaviors. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/174671.

Council of Science Editors:

Fine BT. Constructing Geometries for Group Control: Methods for Reasoning about Social Behaviors. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/174671


Texas A&M University

19. Yan, Yue. Global Keyword Tracking in Archaeology.

Degree: MS, Computer Science, 2016, Texas A&M University

 With the digitization of information, discoveries of events that previously took much human effort can now be found automatically. As example, we investigate several scandals… (more)

Subjects/Keywords: entity extraction; geo-tagging

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APA (6th Edition):

Yan, Y. (2016). Global Keyword Tracking in Archaeology. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156857

Chicago Manual of Style (16th Edition):

Yan, Yue. “Global Keyword Tracking in Archaeology.” 2016. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/156857.

MLA Handbook (7th Edition):

Yan, Yue. “Global Keyword Tracking in Archaeology.” 2016. Web. 09 May 2021.

Vancouver:

Yan Y. Global Keyword Tracking in Archaeology. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/156857.

Council of Science Editors:

Yan Y. Global Keyword Tracking in Archaeology. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156857


Texas A&M University

20. Paulson, Brandon C. Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition.

Degree: PhD, Computer Science, 2011, Texas A&M University

 Online sketch recognition uses machine learning and artificial intelligence techniques to interpret markings made by users via an electronic stylus or pen. The goal of… (more)

Subjects/Keywords: sketch recognition; sketch-based interfaces; pattern recognition; intelligent user interfaces; human-computer interaction

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APA (6th Edition):

Paulson, B. C. (2011). Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7808

Chicago Manual of Style (16th Edition):

Paulson, Brandon C. “Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition.” 2011. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7808.

MLA Handbook (7th Edition):

Paulson, Brandon C. “Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition.” 2011. Web. 09 May 2021.

Vancouver:

Paulson BC. Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7808.

Council of Science Editors:

Paulson BC. Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7808


Texas A&M University

21. Li, Weizhi. Noise-Tolerant Deep Learning for Histopathological Image Segmentation.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Developing an effective algorithm based on the handcrafted features from histological images (histo-images) is difficult due to the complexity of histo-images. Deep network models have… (more)

Subjects/Keywords: Histo-image segmentation; deep learning; noisy labels learning

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APA (6th Edition):

Li, W. (2017). Noise-Tolerant Deep Learning for Histopathological Image Segmentation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169641

Chicago Manual of Style (16th Edition):

Li, Weizhi. “Noise-Tolerant Deep Learning for Histopathological Image Segmentation.” 2017. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/169641.

MLA Handbook (7th Edition):

Li, Weizhi. “Noise-Tolerant Deep Learning for Histopathological Image Segmentation.” 2017. Web. 09 May 2021.

Vancouver:

Li W. Noise-Tolerant Deep Learning for Histopathological Image Segmentation. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/169641.

Council of Science Editors:

Li W. Noise-Tolerant Deep Learning for Histopathological Image Segmentation. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169641


Texas A&M University

22. Okyere, Jeffrey Kwabena. Fifth-order Polynomial Predistortion for Mach-Zehnder Modulator Linearization.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 Modern wireless applications require access to ultra-wide instantaneous RF bandwidths to provide frequency agility and multi-band RF processing. Wireless communications, radar and electronic warfare are… (more)

Subjects/Keywords: Mach-Zehnder modulator(MZM); Vertical cavity surface emitting laser(VCSEL); Electro-absorption modulator(EAM); Directional coupler modulator; Ring resonator modulator; third-order intermodulation; fifth-order intermodulation; photodetector

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APA (6th Edition):

Okyere, J. K. (2017). Fifth-order Polynomial Predistortion for Mach-Zehnder Modulator Linearization. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161299

Chicago Manual of Style (16th Edition):

Okyere, Jeffrey Kwabena. “Fifth-order Polynomial Predistortion for Mach-Zehnder Modulator Linearization.” 2017. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/161299.

MLA Handbook (7th Edition):

Okyere, Jeffrey Kwabena. “Fifth-order Polynomial Predistortion for Mach-Zehnder Modulator Linearization.” 2017. Web. 09 May 2021.

Vancouver:

Okyere JK. Fifth-order Polynomial Predistortion for Mach-Zehnder Modulator Linearization. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/161299.

Council of Science Editors:

Okyere JK. Fifth-order Polynomial Predistortion for Mach-Zehnder Modulator Linearization. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161299


Texas A&M University

23. Nam, Changjoo. Assignment Algorithms for Multi-Robot Task Allocation in Uncertain and Dynamic Environments.

Degree: PhD, Computer Science, 2016, Texas A&M University

 Multi-robot task allocation is a general approach to coordinate a team of robots to complete a set of tasks collectively. The classical works adopt relevant… (more)

Subjects/Keywords: Multi-robot systems; multi-robot task allocation; task planning

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APA (6th Edition):

Nam, C. (2016). Assignment Algorithms for Multi-Robot Task Allocation in Uncertain and Dynamic Environments. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158027

Chicago Manual of Style (16th Edition):

Nam, Changjoo. “Assignment Algorithms for Multi-Robot Task Allocation in Uncertain and Dynamic Environments.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/158027.

MLA Handbook (7th Edition):

Nam, Changjoo. “Assignment Algorithms for Multi-Robot Task Allocation in Uncertain and Dynamic Environments.” 2016. Web. 09 May 2021.

Vancouver:

Nam C. Assignment Algorithms for Multi-Robot Task Allocation in Uncertain and Dynamic Environments. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/158027.

Council of Science Editors:

Nam C. Assignment Algorithms for Multi-Robot Task Allocation in Uncertain and Dynamic Environments. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158027


Texas A&M University

24. Thothathri, Visvanathan. MAFIA: Malicious Facebook Page Identification.

Degree: MS, Computer Engineering, 2016, Texas A&M University

 Facebook has been a host to many different attack vectors, such as malicious apps that use their permissions to spread malware and compromise user accounts… (more)

Subjects/Keywords: Security; Social Networks; Facebook; Machine Learning

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APA (6th Edition):

Thothathri, V. (2016). MAFIA: Malicious Facebook Page Identification. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158701

Chicago Manual of Style (16th Edition):

Thothathri, Visvanathan. “MAFIA: Malicious Facebook Page Identification.” 2016. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/158701.

MLA Handbook (7th Edition):

Thothathri, Visvanathan. “MAFIA: Malicious Facebook Page Identification.” 2016. Web. 09 May 2021.

Vancouver:

Thothathri V. MAFIA: Malicious Facebook Page Identification. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/158701.

Council of Science Editors:

Thothathri V. MAFIA: Malicious Facebook Page Identification. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158701


Texas A&M University

25. Fan, David Dawei. Backpropagation for Continuous Theta Neuron Networks.

Degree: MS, Electrical Engineering, 2015, Texas A&M University

 The Theta neuron model is a spiking neuron model which, unlike traditional Leaky-Integrate-and-Fire neurons, can model spike latencies, threshold adaptation, bistability of resting and tonic… (more)

Subjects/Keywords: Spiking Neural Network; Backpropagation; Recurrent Neural Network; Neural Network; Theta Neuron

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APA (6th Edition):

Fan, D. D. (2015). Backpropagation for Continuous Theta Neuron Networks. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/186998

Chicago Manual of Style (16th Edition):

Fan, David Dawei. “Backpropagation for Continuous Theta Neuron Networks.” 2015. Masters Thesis, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/186998.

MLA Handbook (7th Edition):

Fan, David Dawei. “Backpropagation for Continuous Theta Neuron Networks.” 2015. Web. 09 May 2021.

Vancouver:

Fan DD. Backpropagation for Continuous Theta Neuron Networks. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/186998.

Council of Science Editors:

Fan DD. Backpropagation for Continuous Theta Neuron Networks. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/186998


Texas A&M University

26. Kim, Hong-Hoe. A Fine Motor Skill Classifying Framework to Support Children's Self-Regulation Skills and School Readiness.

Degree: PhD, Computer Science, 2016, Texas A&M University

 Children’s self-regulation skills predict their school-readiness and social behaviors, and assessing these skills enables parents and teachers to target areas for improvement or prepare children… (more)

Subjects/Keywords: fine motor skill; KimCHI

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APA (6th Edition):

Kim, H. (2016). A Fine Motor Skill Classifying Framework to Support Children's Self-Regulation Skills and School Readiness. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156963

Chicago Manual of Style (16th Edition):

Kim, Hong-Hoe. “A Fine Motor Skill Classifying Framework to Support Children's Self-Regulation Skills and School Readiness.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/156963.

MLA Handbook (7th Edition):

Kim, Hong-Hoe. “A Fine Motor Skill Classifying Framework to Support Children's Self-Regulation Skills and School Readiness.” 2016. Web. 09 May 2021.

Vancouver:

Kim H. A Fine Motor Skill Classifying Framework to Support Children's Self-Regulation Skills and School Readiness. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/156963.

Council of Science Editors:

Kim H. A Fine Motor Skill Classifying Framework to Support Children's Self-Regulation Skills and School Readiness. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156963


Texas A&M University

27. Yoo, Jae Wook. Sensorimotor Aspects of Brain Function: Development, Internal Dynamics, and Tool Use.

Degree: PhD, Computer Science, 2018, Texas A&M University

 Learning through the sensorimotor loop is essential for intelligent agents. While the important role of sensorimotor learning has been studied, several important aspects of sensorimotor… (more)

Subjects/Keywords: Sensorimotor learning; Motor map; Internal dynamics; Tool use; Continuous action space; Neuroevolution; Deep RL

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APA (6th Edition):

Yoo, J. W. (2018). Sensorimotor Aspects of Brain Function: Development, Internal Dynamics, and Tool Use. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173627

Chicago Manual of Style (16th Edition):

Yoo, Jae Wook. “Sensorimotor Aspects of Brain Function: Development, Internal Dynamics, and Tool Use.” 2018. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/173627.

MLA Handbook (7th Edition):

Yoo, Jae Wook. “Sensorimotor Aspects of Brain Function: Development, Internal Dynamics, and Tool Use.” 2018. Web. 09 May 2021.

Vancouver:

Yoo JW. Sensorimotor Aspects of Brain Function: Development, Internal Dynamics, and Tool Use. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/173627.

Council of Science Editors:

Yoo JW. Sensorimotor Aspects of Brain Function: Development, Internal Dynamics, and Tool Use. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173627


Texas A&M University

28. Sarmiento, Traci Ann. Flying Animal Inspired Behavior-Based Gap-Aiming Autonomous Flight with a Small Unmanned Rotorcraft in a Restricted Maneuverability Environment.

Degree: PhD, Computer Science, 2017, Texas A&M University

 This dissertation research shows a small unmanned rotorcraft system with onboard processing and a vision sensor can produce autonomous, collision-free flight in a restricted maneuverability… (more)

Subjects/Keywords: bio-inspired; behavior-based robotics; small unmanned aerial system; disaster robotics

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APA (6th Edition):

Sarmiento, T. A. (2017). Flying Animal Inspired Behavior-Based Gap-Aiming Autonomous Flight with a Small Unmanned Rotorcraft in a Restricted Maneuverability Environment. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166086

Chicago Manual of Style (16th Edition):

Sarmiento, Traci Ann. “Flying Animal Inspired Behavior-Based Gap-Aiming Autonomous Flight with a Small Unmanned Rotorcraft in a Restricted Maneuverability Environment.” 2017. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/166086.

MLA Handbook (7th Edition):

Sarmiento, Traci Ann. “Flying Animal Inspired Behavior-Based Gap-Aiming Autonomous Flight with a Small Unmanned Rotorcraft in a Restricted Maneuverability Environment.” 2017. Web. 09 May 2021.

Vancouver:

Sarmiento TA. Flying Animal Inspired Behavior-Based Gap-Aiming Autonomous Flight with a Small Unmanned Rotorcraft in a Restricted Maneuverability Environment. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/166086.

Council of Science Editors:

Sarmiento TA. Flying Animal Inspired Behavior-Based Gap-Aiming Autonomous Flight with a Small Unmanned Rotorcraft in a Restricted Maneuverability Environment. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166086


Texas A&M University

29. Huang, Jin. Active Wavelength Selection for Chemical Identification Using Tunable Spectroscopy.

Degree: PhD, Computer Engineering, 2016, Texas A&M University

 Spectrometers are the cornerstone of analytical chemistry. Recent advances in microoptics manufacturing provide lightweight and portable alternatives to traditional spectrometers. In this dissertation, we developed… (more)

Subjects/Keywords: active sensing; feature selection; wavelength selection; non-negative least squares; infrared spectrum; Fabry-Perot; Gaussian process; Bayesian risk

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APA (6th Edition):

Huang, J. (2016). Active Wavelength Selection for Chemical Identification Using Tunable Spectroscopy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174225

Chicago Manual of Style (16th Edition):

Huang, Jin. “Active Wavelength Selection for Chemical Identification Using Tunable Spectroscopy.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/174225.

MLA Handbook (7th Edition):

Huang, Jin. “Active Wavelength Selection for Chemical Identification Using Tunable Spectroscopy.” 2016. Web. 09 May 2021.

Vancouver:

Huang J. Active Wavelength Selection for Chemical Identification Using Tunable Spectroscopy. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/174225.

Council of Science Editors:

Huang J. Active Wavelength Selection for Chemical Identification Using Tunable Spectroscopy. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174225


Texas A&M University

30. Wang, Binhao. Modeling of Photonic Devices and Photonic Integrated Circuits for Optical Interconnect and RF Photonic Front-End Applications.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 Photonic integrated circuits (PICs) offer compelling solutions for applications in many areas due to the sufficient functionality and excellent performance. Optical interconnects and radio frequency… (more)

Subjects/Keywords: photonic device; VCSEL; silicon ring modulator; photonic integrated circuit

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APA (6th Edition):

Wang, B. (2016). Modeling of Photonic Devices and Photonic Integrated Circuits for Optical Interconnect and RF Photonic Front-End Applications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156940

Chicago Manual of Style (16th Edition):

Wang, Binhao. “Modeling of Photonic Devices and Photonic Integrated Circuits for Optical Interconnect and RF Photonic Front-End Applications.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 09, 2021. http://hdl.handle.net/1969.1/156940.

MLA Handbook (7th Edition):

Wang, Binhao. “Modeling of Photonic Devices and Photonic Integrated Circuits for Optical Interconnect and RF Photonic Front-End Applications.” 2016. Web. 09 May 2021.

Vancouver:

Wang B. Modeling of Photonic Devices and Photonic Integrated Circuits for Optical Interconnect and RF Photonic Front-End Applications. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/1969.1/156940.

Council of Science Editors:

Wang B. Modeling of Photonic Devices and Photonic Integrated Circuits for Optical Interconnect and RF Photonic Front-End Applications. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156940

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