Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Texas A&M University" +contributor:("Braga-Neto, Ulisses"). Showing records 1 – 30 of 45 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

▼ Search Limiters

1. Guo, Zhengyu. Applications of High-Throughput Sequencing Data Analysis in Transcriptional Studies.

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

 High-throughput sequencing has become one of the most powerful tools for studies in genomics, transcriptomics, epigenomics, and metagenomics. In recent years, HTS protocols for enhancing… (more)

Subjects/Keywords: High-Throughput Sequencing; RNA-Seq; Differential expression; Deep learning; Database

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Guo, Z. (2017). Applications of High-Throughput Sequencing Data Analysis in Transcriptional Studies. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173122

Chicago Manual of Style (16th Edition):

Guo, Zhengyu. “Applications of High-Throughput Sequencing Data Analysis in Transcriptional Studies.” 2017. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/173122.

MLA Handbook (7th Edition):

Guo, Zhengyu. “Applications of High-Throughput Sequencing Data Analysis in Transcriptional Studies.” 2017. Web. 04 Dec 2020.

Vancouver:

Guo Z. Applications of High-Throughput Sequencing Data Analysis in Transcriptional Studies. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/173122.

Council of Science Editors:

Guo Z. Applications of High-Throughput Sequencing Data Analysis in Transcriptional Studies. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173122


Texas A&M University

2. Sundararaj, Sanjhana. Predicting Academic Performance of Potential Electrical Engineering Majors.

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

 Data Analytics for education is fast growing into an important part of higher learning institutions, which helps to improve student success rate and decision-making with… (more)

Subjects/Keywords: Education analytics; Machine Learning; Predictive Modeling; Classification; Prediction Performance Analysis; Statistical Analysis; Feature selection; Independence Models; Naive Bayes; Feature Interaction; Decision Tree; Random Forest; Support Vector Machines; Metric Learning; Kernel; Model Comparisons

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sundararaj, S. (2017). Predicting Academic Performance of Potential Electrical Engineering Majors. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165880

Chicago Manual of Style (16th Edition):

Sundararaj, Sanjhana. “Predicting Academic Performance of Potential Electrical Engineering Majors.” 2017. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/165880.

MLA Handbook (7th Edition):

Sundararaj, Sanjhana. “Predicting Academic Performance of Potential Electrical Engineering Majors.” 2017. Web. 04 Dec 2020.

Vancouver:

Sundararaj S. Predicting Academic Performance of Potential Electrical Engineering Majors. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/165880.

Council of Science Editors:

Sundararaj S. Predicting Academic Performance of Potential Electrical Engineering Majors. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165880


Texas A&M University

3. Hwang, Dae Yon. Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging.

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

 Endogenous fluorescence lifetime imaging microscopy (FLIM) provides a nondestructive means to interrogate the biochemical composition of biological tissues. Therefore, it has the potential to identify… (more)

Subjects/Keywords: endogenous fluorescence lifetime imaging microscopy; FLIM; oral cancer; classification; LDA; KNN; SVM

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hwang, D. Y. (2016). Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187406

Chicago Manual of Style (16th Edition):

Hwang, Dae Yon. “Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging.” 2016. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/187406.

MLA Handbook (7th Edition):

Hwang, Dae Yon. “Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging.” 2016. Web. 04 Dec 2020.

Vancouver:

Hwang DY. Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/187406.

Council of Science Editors:

Hwang DY. Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/187406


Texas A&M University

4. Brink, Kevin Michael. Taking Man Out of the Loop: Methods to Reduce Human Involvement in Search and Surveillance Applications.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 There has always been a desire to apply technology to human endeavors to increase a person's capabilities and reduce the numbers or skill level required… (more)

Subjects/Keywords: Camera Calibration; 3D Computer Vision; Vision-aided Inertial Navigation; vSLAM; Schmidt-Kalman Filter; Cooperative Source Localization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Brink, K. M. (2012). Taking Man Out of the Loop: Methods to Reduce Human Involvement in Search and Surveillance Applications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8755

Chicago Manual of Style (16th Edition):

Brink, Kevin Michael. “Taking Man Out of the Loop: Methods to Reduce Human Involvement in Search and Surveillance Applications.” 2012. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8755.

MLA Handbook (7th Edition):

Brink, Kevin Michael. “Taking Man Out of the Loop: Methods to Reduce Human Involvement in Search and Surveillance Applications.” 2012. Web. 04 Dec 2020.

Vancouver:

Brink KM. Taking Man Out of the Loop: Methods to Reduce Human Involvement in Search and Surveillance Applications. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8755.

Council of Science Editors:

Brink KM. Taking Man Out of the Loop: Methods to Reduce Human Involvement in Search and Surveillance Applications. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8755


Texas A&M University

5. Sung, Kookjin. A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter.

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

 The main techniques of computer vision that can be helpful to surveillance system are detection and tracking. This thesis proposes a real-time motion detection and… (more)

Subjects/Keywords: Detection; Tracking; Mean-Shift; Kalman filter

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sung, K. (2017). A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166042

Chicago Manual of Style (16th Edition):

Sung, Kookjin. “A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter.” 2017. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/166042.

MLA Handbook (7th Edition):

Sung, Kookjin. “A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter.” 2017. Web. 04 Dec 2020.

Vancouver:

Sung K. A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/166042.

Council of Science Editors:

Sung K. A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166042


Texas A&M University

6. Wang, Yanqing. Relative Risks Analysis in Nutritional Epidemiology.

Degree: PhD, Statistics, 2014, Texas A&M University

 Motivated by a logistic regression problem involving diet and cancer, we reconsider the problem of forming a confidence interval for the ratio of two location… (more)

Subjects/Keywords: Adaptive Lasso; DIMER; Direct Integral Method for Ratios; HEI-2005; I-spline; Relative Risk; Variable Selection.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, Y. (2014). Relative Risks Analysis in Nutritional Epidemiology. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153663

Chicago Manual of Style (16th Edition):

Wang, Yanqing. “Relative Risks Analysis in Nutritional Epidemiology.” 2014. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/153663.

MLA Handbook (7th Edition):

Wang, Yanqing. “Relative Risks Analysis in Nutritional Epidemiology.” 2014. Web. 04 Dec 2020.

Vancouver:

Wang Y. Relative Risks Analysis in Nutritional Epidemiology. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/153663.

Council of Science Editors:

Wang Y. Relative Risks Analysis in Nutritional Epidemiology. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153663


Texas A&M University

7. Lee, Seoktae. A Real-Time Face Tracking System Based On A Single PTZ Camera.

Degree: MS, Electrical Engineering, 2014, Texas A&M University

 It is evident that the effectiveness of education is strengthened from the assistance of distance learning which provides lectures online. The benefits of online education… (more)

Subjects/Keywords: Face Detection; OpenCV; Online Education; IP PTZ Camera; Tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lee, S. (2014). A Real-Time Face Tracking System Based On A Single PTZ Camera. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154149

Chicago Manual of Style (16th Edition):

Lee, Seoktae. “A Real-Time Face Tracking System Based On A Single PTZ Camera.” 2014. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/154149.

MLA Handbook (7th Edition):

Lee, Seoktae. “A Real-Time Face Tracking System Based On A Single PTZ Camera.” 2014. Web. 04 Dec 2020.

Vancouver:

Lee S. A Real-Time Face Tracking System Based On A Single PTZ Camera. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/154149.

Council of Science Editors:

Lee S. A Real-Time Face Tracking System Based On A Single PTZ Camera. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154149


Texas A&M University

8. Agyepong, Kwadwo. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 Thus far, a plethora of analysis on genome-wide gene expression microarray experiments on the cell cycle have been reported. Time series data from these experiments… (more)

Subjects/Keywords: Microarray; Cell Cycle; Time Series; Lomb-Scargle; Capon; MAPES; RIAA; LSPR

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Agyepong, K. (2012). Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815

Chicago Manual of Style (16th Edition):

Agyepong, Kwadwo. “Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.” 2012. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815.

MLA Handbook (7th Edition):

Agyepong, Kwadwo. “Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.” 2012. Web. 04 Dec 2020.

Vancouver:

Agyepong K. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815.

Council of Science Editors:

Agyepong K. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815


Texas A&M University

9. Zhao, Chen. Stochastic Modeling and Analysis of Pathway Regulation and Dynamics.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 To effectively understand and treat complex diseases such as cancer, mathematical and statistical modeling is essential if one wants to represent and characterize the interactions… (more)

Subjects/Keywords: pathway regulation; drug response dynamics; master/slave gene

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhao, C. (2012). Stochastic Modeling and Analysis of Pathway Regulation and Dynamics. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749

Chicago Manual of Style (16th Edition):

Zhao, Chen. “Stochastic Modeling and Analysis of Pathway Regulation and Dynamics.” 2012. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749.

MLA Handbook (7th Edition):

Zhao, Chen. “Stochastic Modeling and Analysis of Pathway Regulation and Dynamics.” 2012. Web. 04 Dec 2020.

Vancouver:

Zhao C. Stochastic Modeling and Analysis of Pathway Regulation and Dynamics. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749.

Council of Science Editors:

Zhao C. Stochastic Modeling and Analysis of Pathway Regulation and Dynamics. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749


Texas A&M University

10. Sun, Youting. Model-based Biomarker Detection and Systematic Analysis in Translational Science.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 This dissertation is concerned with the application of mathematical modeling and statistical signal processing into the rapidly expanding fields of proteomics and genomics. The research… (more)

Subjects/Keywords: Mathematical modeling; biomarker detection; genetic and proteomic signal processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sun, Y. (2012). Model-based Biomarker Detection and Systematic Analysis in Translational Science. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914

Chicago Manual of Style (16th Edition):

Sun, Youting. “Model-based Biomarker Detection and Systematic Analysis in Translational Science.” 2012. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914.

MLA Handbook (7th Edition):

Sun, Youting. “Model-based Biomarker Detection and Systematic Analysis in Translational Science.” 2012. Web. 04 Dec 2020.

Vancouver:

Sun Y. Model-based Biomarker Detection and Systematic Analysis in Translational Science. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914.

Council of Science Editors:

Sun Y. Model-based Biomarker Detection and Systematic Analysis in Translational Science. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914


Texas A&M University

11. Suresh, Karthik. Deep Nuisance Disentanglement for Robust Object Detection from Unmanned Aerial Vehicles.

Degree: MS, Computer Engineering, 2019, Texas A&M University

 Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming dramatically useful. Despite the great success of the generic object detection methods trained… (more)

Subjects/Keywords: Object Detection; Unmanned Aerial Vehicles

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Suresh, K. (2019). Deep Nuisance Disentanglement for Robust Object Detection from Unmanned Aerial Vehicles. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/185023

Chicago Manual of Style (16th Edition):

Suresh, Karthik. “Deep Nuisance Disentanglement for Robust Object Detection from Unmanned Aerial Vehicles.” 2019. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/185023.

MLA Handbook (7th Edition):

Suresh, Karthik. “Deep Nuisance Disentanglement for Robust Object Detection from Unmanned Aerial Vehicles.” 2019. Web. 04 Dec 2020.

Vancouver:

Suresh K. Deep Nuisance Disentanglement for Robust Object Detection from Unmanned Aerial Vehicles. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/185023.

Council of Science Editors:

Suresh K. Deep Nuisance Disentanglement for Robust Object Detection from Unmanned Aerial Vehicles. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/185023


Texas A&M University

12. Hwang, Dae Yon. Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging.

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

 Endogenous fluorescence lifetime imaging microscopy (FLIM) provides a nondestructive means to interrogate the biochemical composition of biological tissues. Therefore, it has the potential to identify… (more)

Subjects/Keywords: endogenous fluorescence lifetime imaging microscopy; FLIM; oral cancer; classification; LDA; KNN; SVM

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hwang, D. Y. (2016). Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187405

Chicago Manual of Style (16th Edition):

Hwang, Dae Yon. “Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging.” 2016. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/187405.

MLA Handbook (7th Edition):

Hwang, Dae Yon. “Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging.” 2016. Web. 04 Dec 2020.

Vancouver:

Hwang DY. Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/187405.

Council of Science Editors:

Hwang DY. Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/187405


Texas A&M University

13. Kumari, Deepika. A Data-driven Approach to Power System Dynamic State Estimation.

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

 State estimation is a key function in the supervisory control and planning of an electric power grid. Typically, the independent system operator (ISO) runs least-squares… (more)

Subjects/Keywords: Dynamic state estimation; Power systems; Unscented Kalman filter; Gaussian process

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kumari, D. (2017). A Data-driven Approach to Power System Dynamic State Estimation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166100

Chicago Manual of Style (16th Edition):

Kumari, Deepika. “A Data-driven Approach to Power System Dynamic State Estimation.” 2017. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/166100.

MLA Handbook (7th Edition):

Kumari, Deepika. “A Data-driven Approach to Power System Dynamic State Estimation.” 2017. Web. 04 Dec 2020.

Vancouver:

Kumari D. A Data-driven Approach to Power System Dynamic State Estimation. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/166100.

Council of Science Editors:

Kumari D. A Data-driven Approach to Power System Dynamic State Estimation. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166100


Texas A&M University

14. Song, Jianfeng. HEVC Fast CU Decision for Intra-Prediction by CNN.

Degree: MS, Electrical Engineering, 2019, Texas A&M University

 High Efficiency Video Coding (HEVC) is also know as H.265 was first official introduced in 2013, it is one of the video coding standard of… (more)

Subjects/Keywords: HEVC; CNN

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Song, J. (2019). HEVC Fast CU Decision for Intra-Prediction by CNN. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188802

Chicago Manual of Style (16th Edition):

Song, Jianfeng. “HEVC Fast CU Decision for Intra-Prediction by CNN.” 2019. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/188802.

MLA Handbook (7th Edition):

Song, Jianfeng. “HEVC Fast CU Decision for Intra-Prediction by CNN.” 2019. Web. 04 Dec 2020.

Vancouver:

Song J. HEVC Fast CU Decision for Intra-Prediction by CNN. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/188802.

Council of Science Editors:

Song J. HEVC Fast CU Decision for Intra-Prediction by CNN. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/188802


Texas A&M University

15. Tofighi Zavareh, Amir. Systems and Methods for the Spectral Calibration of Swept Source Optical Coherence Tomography Systems.

Degree: PhD, Electrical Engineering, 2019, Texas A&M University

 This dissertation relates to the transition of the state of the art of swept source optical coherence tomography (SS-OCT) systems to a new realm in… (more)

Subjects/Keywords: Optical Coherence Tomography; Swept Source Optical Coherence Tomography; Spectral Calibration; Machine Learning; Kalman Filtering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tofighi Zavareh, A. (2019). Systems and Methods for the Spectral Calibration of Swept Source Optical Coherence Tomography Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188806

Chicago Manual of Style (16th Edition):

Tofighi Zavareh, Amir. “Systems and Methods for the Spectral Calibration of Swept Source Optical Coherence Tomography Systems.” 2019. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/188806.

MLA Handbook (7th Edition):

Tofighi Zavareh, Amir. “Systems and Methods for the Spectral Calibration of Swept Source Optical Coherence Tomography Systems.” 2019. Web. 04 Dec 2020.

Vancouver:

Tofighi Zavareh A. Systems and Methods for the Spectral Calibration of Swept Source Optical Coherence Tomography Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/188806.

Council of Science Editors:

Tofighi Zavareh A. Systems and Methods for the Spectral Calibration of Swept Source Optical Coherence Tomography Systems. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/188806


Texas A&M University

16. Imani, Mahdi. Estimation, Inference and Learning of Partially-Observed Dynamical Systems.

Degree: PhD, Electrical Engineering, 2019, Texas A&M University

 Demand for learning, design and decision making is higher than ever before. Autonomous vehicles need to learn how to ride safely by recognizing pedestrians, traffic… (more)

Subjects/Keywords: Dynamical Systems; Bayesian Optimization; Reinforcement Learning; Machine Learning; Inference; Dynamical Systems; Hidden Markov Model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Imani, M. (2019). Estimation, Inference and Learning of Partially-Observed Dynamical Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/184417

Chicago Manual of Style (16th Edition):

Imani, Mahdi. “Estimation, Inference and Learning of Partially-Observed Dynamical Systems.” 2019. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/184417.

MLA Handbook (7th Edition):

Imani, Mahdi. “Estimation, Inference and Learning of Partially-Observed Dynamical Systems.” 2019. Web. 04 Dec 2020.

Vancouver:

Imani M. Estimation, Inference and Learning of Partially-Observed Dynamical Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/184417.

Council of Science Editors:

Imani M. Estimation, Inference and Learning of Partially-Observed Dynamical Systems. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/184417


Texas A&M University

17. Su, Junjie. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 Finding reliable gene markers for accurate disease classification is very challenging due to a number of reasons, including the small sample size of typical clinical… (more)

Subjects/Keywords: cancer classification; pathway activity inference; subnetwork markers; Protein-Protein Interaction (PPI) network

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Su, J. (2012). Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865

Chicago Manual of Style (16th Edition):

Su, Junjie. “Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.” 2012. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865.

MLA Handbook (7th Edition):

Su, Junjie. “Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.” 2012. Web. 04 Dec 2020.

Vancouver:

Su J. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865.

Council of Science Editors:

Su J. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865


Texas A&M University

18. McClenny, Levi Daniel. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.

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

 Recently, state space signal models have been proposed to characterize the behavior of discrete-time boolean dynamical systems. The current system model is one in which… (more)

Subjects/Keywords: Boolean; Kalman; Filtering; Colored Noise; Correlated Noise; Particle Filtering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

McClenny, L. D. (2016). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

Chicago Manual of Style (16th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/157796.

MLA Handbook (7th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 04 Dec 2020.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/157796.

Council of Science Editors:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157796


Texas A&M University

19. Bahadorinejad, Arghavan. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.

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

 It is well known that the molecular basis of many diseases, particularly cancer, resides in the loss of regulatory power in critical genomic pathways due… (more)

Subjects/Keywords: Fault detection; Classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bahadorinejad, A. (2017). Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161434

Chicago Manual of Style (16th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/161434.

MLA Handbook (7th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Web. 04 Dec 2020.

Vancouver:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/161434.

Council of Science Editors:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161434


Texas A&M University

20. Abante Llenas, Jordi. HiMMe, A Next-Generation Sequencing Quality Assessment and Correction Tool Based on Hidden Markov Models.

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

 Both deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) play a crucial role in the existence and proper development of all living organisms. In addition, it… (more)

Subjects/Keywords: hidden Markov models; HMM; supervised learning; next-generation sequencing; NGS; bioinformatics; computational biology; genetics; genomics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Abante Llenas, J. (2016). HiMMe, A Next-Generation Sequencing Quality Assessment and Correction Tool Based on Hidden Markov Models. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156965

Chicago Manual of Style (16th Edition):

Abante Llenas, Jordi. “HiMMe, A Next-Generation Sequencing Quality Assessment and Correction Tool Based on Hidden Markov Models.” 2016. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/156965.

MLA Handbook (7th Edition):

Abante Llenas, Jordi. “HiMMe, A Next-Generation Sequencing Quality Assessment and Correction Tool Based on Hidden Markov Models.” 2016. Web. 04 Dec 2020.

Vancouver:

Abante Llenas J. HiMMe, A Next-Generation Sequencing Quality Assessment and Correction Tool Based on Hidden Markov Models. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/156965.

Council of Science Editors:

Abante Llenas J. HiMMe, A Next-Generation Sequencing Quality Assessment and Correction Tool Based on Hidden Markov Models. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156965


Texas A&M University

21. Arshad, Osama Ali. On Boolean Modeling of Gene Regulatory Networks for Improved Cancer Combinatorial Therapy Design and Transcriptome Assemblies for Pacific Whiteleg Shrimp.

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

 Cancer cells are known to exhibit atypical metabolic characteristics. While alterations in tumor cell metabolism are necessary for the sustained uncontrolled cell growth that characterizes… (more)

Subjects/Keywords: cancer; combination therapy design; Boolean modeling; gene regulatory networks; transcriptome assemblies; Pacific whiteleg shrimp

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Arshad, O. A. (2017). On Boolean Modeling of Gene Regulatory Networks for Improved Cancer Combinatorial Therapy Design and Transcriptome Assemblies for Pacific Whiteleg Shrimp. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161335

Chicago Manual of Style (16th Edition):

Arshad, Osama Ali. “On Boolean Modeling of Gene Regulatory Networks for Improved Cancer Combinatorial Therapy Design and Transcriptome Assemblies for Pacific Whiteleg Shrimp.” 2017. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/161335.

MLA Handbook (7th Edition):

Arshad, Osama Ali. “On Boolean Modeling of Gene Regulatory Networks for Improved Cancer Combinatorial Therapy Design and Transcriptome Assemblies for Pacific Whiteleg Shrimp.” 2017. Web. 04 Dec 2020.

Vancouver:

Arshad OA. On Boolean Modeling of Gene Regulatory Networks for Improved Cancer Combinatorial Therapy Design and Transcriptome Assemblies for Pacific Whiteleg Shrimp. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/161335.

Council of Science Editors:

Arshad OA. On Boolean Modeling of Gene Regulatory Networks for Improved Cancer Combinatorial Therapy Design and Transcriptome Assemblies for Pacific Whiteleg Shrimp. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161335


Texas A&M University

22. Chen, Ting. Estimation and Detection of Multivariate Gene Regulatory Relationships.

Degree: PhD, Electrical Engineering, 2013, Texas A&M University

 The Coefficient of Determination (CoD) plays an important role in Genomics problems, for instance, in the inference of gene regulatory networks from gene- expression data.… (more)

Subjects/Keywords: Coefficient of Determination; Frequentist Inference; Maximum-Likelihood Estimation; Multiple Testing Procedures; Bayesian Inference

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, T. (2013). Estimation and Detection of Multivariate Gene Regulatory Relationships. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151702

Chicago Manual of Style (16th Edition):

Chen, Ting. “Estimation and Detection of Multivariate Gene Regulatory Relationships.” 2013. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/151702.

MLA Handbook (7th Edition):

Chen, Ting. “Estimation and Detection of Multivariate Gene Regulatory Relationships.” 2013. Web. 04 Dec 2020.

Vancouver:

Chen T. Estimation and Detection of Multivariate Gene Regulatory Relationships. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/151702.

Council of Science Editors:

Chen T. Estimation and Detection of Multivariate Gene Regulatory Relationships. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151702


Texas A&M University

23. Noor, Amina. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the… (more)

Subjects/Keywords: gene network modeling; particle filter; lasso

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Noor, A. (2012). Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860

Chicago Manual of Style (16th Edition):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

MLA Handbook (7th Edition):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Web. 04 Dec 2020.

Vancouver:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

Council of Science Editors:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860


Texas A&M University

24. Rezaei Yousefi, Mohammadmahdi. Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy.

Degree: PhD, Electrical Engineering, 2013, Texas A&M University

 A basic issue for translational genomics is to model gene interactions via gene regulatory networks (GRNs) and thereby provide an informatics environment to derive and… (more)

Subjects/Keywords: Genetic Regulatory Networks; Probabilistic Boolean Networks; Cancer Therapy; Optimal Intervention; Dynamic Programming; Linear Programming

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rezaei Yousefi, M. (2013). Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149416

Chicago Manual of Style (16th Edition):

Rezaei Yousefi, Mohammadmahdi. “Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy.” 2013. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/149416.

MLA Handbook (7th Edition):

Rezaei Yousefi, Mohammadmahdi. “Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy.” 2013. Web. 04 Dec 2020.

Vancouver:

Rezaei Yousefi M. Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/149416.

Council of Science Editors:

Rezaei Yousefi M. Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149416


Texas A&M University

25. Katiyar, Ashish. Determination of Cancer Tissue Heterogeneity.

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

 Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its… (more)

Subjects/Keywords: Heterogeneity; Bayesian methods; Metropolis Hastings; Kernel Density Estimation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Katiyar, A. (2017). Determination of Cancer Tissue Heterogeneity. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161403

Chicago Manual of Style (16th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/161403.

MLA Handbook (7th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 04 Dec 2020.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/161403.

Council of Science Editors:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161403


Texas A&M University

26. Kollegala, Revathi. The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 Detection of targets in hyperspectral images is a specific case of one-class classification. It is particularly relevant in the area of remote sensing and has… (more)

Subjects/Keywords: hyperspectral; classification; support; vector; description; domain; data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kollegala, R. (2012). The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148

Chicago Manual of Style (16th Edition):

Kollegala, Revathi. “The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.” 2012. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148.

MLA Handbook (7th Edition):

Kollegala, Revathi. “The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.” 2012. Web. 04 Dec 2020.

Vancouver:

Kollegala R. The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148.

Council of Science Editors:

Kollegala R. The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148


Texas A&M University

27. Jiang, Xingde. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.

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

 Bolstered resubstitution is a simple and fast error estimation method that has been shown to perform better than cross-validation and comparably with bootstrap in small-sample… (more)

Subjects/Keywords: pattern recognition; naive-Bayes; bolstered error estimation; model selection; RNA-Seq; bioinformatics; banana cultivars; drought stress; pathogen disease; genes and pathways; biotic and abiotic stress; pathway analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jiang, X. (2016). Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158920

Chicago Manual of Style (16th Edition):

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/158920.

MLA Handbook (7th Edition):

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Web. 04 Dec 2020.

Vancouver:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/158920.

Council of Science Editors:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158920


Texas A&M University

28. Jia, Xiaoqian. CONE-BEAM COMPUTED TOMOGRAPHY (CBCT) SEGMENTATION BY ADVERSARIAL LEARNING DOMAIN ADAPTATION.

Degree: MS, Electrical Engineering, 2019, Texas A&M University

 Cone-beam computed tomography (CBCT) is increasingly used in radiotherapy for patient alignment and adaptive therapy where organ segmentation and target delineation are often required. However,… (more)

Subjects/Keywords: CBCT; segmentation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jia, X. (2019). CONE-BEAM COMPUTED TOMOGRAPHY (CBCT) SEGMENTATION BY ADVERSARIAL LEARNING DOMAIN ADAPTATION. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188753

Chicago Manual of Style (16th Edition):

Jia, Xiaoqian. “CONE-BEAM COMPUTED TOMOGRAPHY (CBCT) SEGMENTATION BY ADVERSARIAL LEARNING DOMAIN ADAPTATION.” 2019. Masters Thesis, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/188753.

MLA Handbook (7th Edition):

Jia, Xiaoqian. “CONE-BEAM COMPUTED TOMOGRAPHY (CBCT) SEGMENTATION BY ADVERSARIAL LEARNING DOMAIN ADAPTATION.” 2019. Web. 04 Dec 2020.

Vancouver:

Jia X. CONE-BEAM COMPUTED TOMOGRAPHY (CBCT) SEGMENTATION BY ADVERSARIAL LEARNING DOMAIN ADAPTATION. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/188753.

Council of Science Editors:

Jia X. CONE-BEAM COMPUTED TOMOGRAPHY (CBCT) SEGMENTATION BY ADVERSARIAL LEARNING DOMAIN ADAPTATION. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/188753


Texas A&M University

29. Webb, Allen T. Addressing Insider Threats from Smart Devices.

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

 Smart devices have unique security challenges and are becoming increasingly common. They have been used in the past to launch cyber attacks such as the… (more)

Subjects/Keywords: smartphones; smart devices; IoT; stepping-stone detection; proxy detection; cybersecurity; network security; android; DNS

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Webb, A. T. (2017). Addressing Insider Threats from Smart Devices. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165864

Chicago Manual of Style (16th Edition):

Webb, Allen T. “Addressing Insider Threats from Smart Devices.” 2017. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/165864.

MLA Handbook (7th Edition):

Webb, Allen T. “Addressing Insider Threats from Smart Devices.” 2017. Web. 04 Dec 2020.

Vancouver:

Webb AT. Addressing Insider Threats from Smart Devices. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/165864.

Council of Science Editors:

Webb AT. Addressing Insider Threats from Smart Devices. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165864


Texas A&M University

30. Atashpazgargari, Esmaeil. Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis.

Degree: PhD, Electrical Engineering, 2014, Texas A&M University

 Discovery and validation of protein biomarkers with high specificity is the main challenge of current proteomics studies. Different mass spectrometry models are used as shotgun… (more)

Subjects/Keywords: Biomarker Validation; Selected Reaction Monitoring; Branch and Bound

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Atashpazgargari, E. (2014). Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153588

Chicago Manual of Style (16th Edition):

Atashpazgargari, Esmaeil. “Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis.” 2014. Doctoral Dissertation, Texas A&M University. Accessed December 04, 2020. http://hdl.handle.net/1969.1/153588.

MLA Handbook (7th Edition):

Atashpazgargari, Esmaeil. “Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis.” 2014. Web. 04 Dec 2020.

Vancouver:

Atashpazgargari E. Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1969.1/153588.

Council of Science Editors:

Atashpazgargari E. Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153588

[1] [2]

.