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You searched for +publisher:"Texas A&M University" +contributor:("Williams, Tiffani"). Showing records 1 – 25 of 25 total matches.

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Texas A&M University

1. Parthasarathy, Saranya. Bloom Filter Based Intrusion Detection for Smart Grid.

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

 This thesis addresses the problem of local intrusion detection for SCADA (Supervisory Control and Data Acquisition) field devices in the smart grid. A methodology is… (more)

Subjects/Keywords: SCADA IDS; Bloom Filter Based IDS; Smart Grid IDS; IDS for SCADA System in Smart Grid

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APA (6th Edition):

Parthasarathy, S. (2012). Bloom Filter Based Intrusion Detection for Smart Grid. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768

Chicago Manual of Style (16th Edition):

Parthasarathy, Saranya. “Bloom Filter Based Intrusion Detection for Smart Grid.” 2012. Masters Thesis, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768.

MLA Handbook (7th Edition):

Parthasarathy, Saranya. “Bloom Filter Based Intrusion Detection for Smart Grid.” 2012. Web. 13 Apr 2021.

Vancouver:

Parthasarathy S. Bloom Filter Based Intrusion Detection for Smart Grid. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768.

Council of Science Editors:

Parthasarathy S. Bloom Filter Based Intrusion Detection for Smart Grid. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10768


Texas A&M University

2. Ekenna, Chinwe Pamela. Improved Sampling Based Motion Planning Through Local Learning.

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

 Every motion made by a moving object is either planned implicitly, e.g., human natural movement from one point to another, or explicitly, e.g., pre-planned information… (more)

Subjects/Keywords: motion planning; reinforcement learning; robotics; protein folding; probabilistic roadmap methods

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APA (6th Edition):

Ekenna, C. P. (2016). Improved Sampling Based Motion Planning Through Local Learning. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157730

Chicago Manual of Style (16th Edition):

Ekenna, Chinwe Pamela. “Improved Sampling Based Motion Planning Through Local Learning.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/157730.

MLA Handbook (7th Edition):

Ekenna, Chinwe Pamela. “Improved Sampling Based Motion Planning Through Local Learning.” 2016. Web. 13 Apr 2021.

Vancouver:

Ekenna CP. Improved Sampling Based Motion Planning Through Local Learning. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/157730.

Council of Science Editors:

Ekenna CP. Improved Sampling Based Motion Planning Through Local Learning. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157730


Texas A&M University

3. Brammer, Grant. Algorithms for Searching and Analyzing Sets of Evolutionary Trees.

Degree: PhD, Computer Science and Engineering, 2014, Texas A&M University

 The evolutionary relationships between organisms are represented as phylogenetic trees. These trees have important implications for understanding biodiversity, tracking disease, and designing medicine. Since the… (more)

Subjects/Keywords: computer science; phylogenetics; query; algorithms

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APA (6th Edition):

Brammer, G. (2014). Algorithms for Searching and Analyzing Sets of Evolutionary Trees. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152770

Chicago Manual of Style (16th Edition):

Brammer, Grant. “Algorithms for Searching and Analyzing Sets of Evolutionary Trees.” 2014. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/152770.

MLA Handbook (7th Edition):

Brammer, Grant. “Algorithms for Searching and Analyzing Sets of Evolutionary Trees.” 2014. Web. 13 Apr 2021.

Vancouver:

Brammer G. Algorithms for Searching and Analyzing Sets of Evolutionary Trees. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/152770.

Council of Science Editors:

Brammer G. Algorithms for Searching and Analyzing Sets of Evolutionary Trees. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152770


Texas A&M University

4. Cotton, Tanisha Green. Computational Study of Mean-Risk Stochastic Programs.

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

 Mean-risk stochastic programs model uncertainty by including risk measures in the objective function. This allows for modeling risk averseness for many problems in science and… (more)

Subjects/Keywords: stochastic programming; mean-risk objectives; decomposition; subgradient optimization

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APA (6th Edition):

Cotton, T. G. (2013). Computational Study of Mean-Risk Stochastic Programs. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149619

Chicago Manual of Style (16th Edition):

Cotton, Tanisha Green. “Computational Study of Mean-Risk Stochastic Programs.” 2013. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/149619.

MLA Handbook (7th Edition):

Cotton, Tanisha Green. “Computational Study of Mean-Risk Stochastic Programs.” 2013. Web. 13 Apr 2021.

Vancouver:

Cotton TG. Computational Study of Mean-Risk Stochastic Programs. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/149619.

Council of Science Editors:

Cotton TG. Computational Study of Mean-Risk Stochastic Programs. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149619


Texas A&M University

5. Ou, Xiaoxi 1986-. Localized Pipeline Encroachment Detector System Using Sensor Network.

Degree: MS, Electrical Engineering, 2011, Texas A&M University

 Detection of encroachment on pipeline right-of-way is important for pipeline safety. An effective system can provide on-time warning while reducing the probability of false alarms.… (more)

Subjects/Keywords: Wireless Sensor Network; Pipeline Safety

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APA (6th Edition):

Ou, X. 1. (2011). Localized Pipeline Encroachment Detector System Using Sensor Network. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/150952

Chicago Manual of Style (16th Edition):

Ou, Xiaoxi 1986-. “Localized Pipeline Encroachment Detector System Using Sensor Network.” 2011. Masters Thesis, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/150952.

MLA Handbook (7th Edition):

Ou, Xiaoxi 1986-. “Localized Pipeline Encroachment Detector System Using Sensor Network.” 2011. Web. 13 Apr 2021.

Vancouver:

Ou X1. Localized Pipeline Encroachment Detector System Using Sensor Network. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/150952.

Council of Science Editors:

Ou X1. Localized Pipeline Encroachment Detector System Using Sensor Network. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/150952


Texas A&M University

6. Crosby, Ralph. Phylogenetic Divergence Time, Algorithms for Improved Accuracy and Performance.

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

 The inference of species divergence time is a key step in the study of phylogenetics. Methods have been available for the last ten years to… (more)

Subjects/Keywords: Algorithms; Phylogenetics

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APA (6th Edition):

Crosby, R. (2015). Phylogenetic Divergence Time, Algorithms for Improved Accuracy and Performance. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155629

Chicago Manual of Style (16th Edition):

Crosby, Ralph. “Phylogenetic Divergence Time, Algorithms for Improved Accuracy and Performance.” 2015. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/155629.

MLA Handbook (7th Edition):

Crosby, Ralph. “Phylogenetic Divergence Time, Algorithms for Improved Accuracy and Performance.” 2015. Web. 13 Apr 2021.

Vancouver:

Crosby R. Phylogenetic Divergence Time, Algorithms for Improved Accuracy and Performance. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/155629.

Council of Science Editors:

Crosby R. Phylogenetic Divergence Time, Algorithms for Improved Accuracy and Performance. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155629


Texas A&M University

7. Yeh, Hsin Yi. Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding.

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

 Sampling-based motion planning aims to find a valid path from a start to a goal by sampling in the planning space. Planning on surfaces is… (more)

Subjects/Keywords: motion planning; sampling-based motion planning; computational biology; Ligand Binding Affinity Ranking

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APA (6th Edition):

Yeh, H. Y. (2016). Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157151

Chicago Manual of Style (16th Edition):

Yeh, Hsin Yi. “Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/157151.

MLA Handbook (7th Edition):

Yeh, Hsin Yi. “Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding.” 2016. Web. 13 Apr 2021.

Vancouver:

Yeh HY. Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/157151.

Council of Science Editors:

Yeh HY. Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157151


Texas A&M University

8. De Jesus Aneiro, Michael A. Statistical Analysis of Transposon Sequencing Data to Determine Essential Genes.

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

 Transposon Sequencing (TnSeq) has become a popular biological tool for assessing the phenotypes of large libraries of bacterial mutants at the same time. This allows… (more)

Subjects/Keywords: TnSeq; transposon mutagenesis; Bayesian Statistics; MCMC; Modeling; Classification

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APA (6th Edition):

De Jesus Aneiro, M. A. (2016). Statistical Analysis of Transposon Sequencing Data to Determine Essential Genes. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159011

Chicago Manual of Style (16th Edition):

De Jesus Aneiro, Michael A. “Statistical Analysis of Transposon Sequencing Data to Determine Essential Genes.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/159011.

MLA Handbook (7th Edition):

De Jesus Aneiro, Michael A. “Statistical Analysis of Transposon Sequencing Data to Determine Essential Genes.” 2016. Web. 13 Apr 2021.

Vancouver:

De Jesus Aneiro MA. Statistical Analysis of Transposon Sequencing Data to Determine Essential Genes. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/159011.

Council of Science Editors:

De Jesus Aneiro MA. Statistical Analysis of Transposon Sequencing Data to Determine Essential Genes. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159011


Texas A&M University

9. Noor, Amina. Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks.

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

 Inferring gene regulatory networks (GRNs) is of profound importance in the field of computational biology and bioinformatics. Understanding the gene-gene and gene- transcription factor (TF)… (more)

Subjects/Keywords: gene regulatory network; network component analysis

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APA (6th Edition):

Noor, A. (2013). Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151933

Chicago Manual of Style (16th Edition):

Noor, Amina. “Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks.” 2013. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/151933.

MLA Handbook (7th Edition):

Noor, Amina. “Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks.” 2013. Web. 13 Apr 2021.

Vancouver:

Noor A. Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/151933.

Council of Science Editors:

Noor A. Efficient and Robust Algorithms for Statistical Inference in Gene Regulatory Networks. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151933


Texas A&M University

10. Lin, Pey Chang K. Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks.

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

 In the quest to understand cell behavior and cure genetic diseases such as cancer, the fundamental approach being taken is undergoing a gradual change. It… (more)

Subjects/Keywords: Genomics; Logic Synthesis; Boolean Satisfiability; Gene Regulatory Networks

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APA (6th Edition):

Lin, P. C. K. (2013). Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151088

Chicago Manual of Style (16th Edition):

Lin, Pey Chang K. “Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks.” 2013. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/151088.

MLA Handbook (7th Edition):

Lin, Pey Chang K. “Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks.” 2013. Web. 13 Apr 2021.

Vancouver:

Lin PCK. Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/151088.

Council of Science Editors:

Lin PCK. Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151088


Texas A&M University

11. Lively, Charles. E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems.

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

 Power consumption is an important constraint in achieving efficient execution on High Performance Computing Multicore Systems. As the number of cores available on a chip… (more)

Subjects/Keywords: Performance Modeling; Power consumption; Multicore; Parallel Programming; MPI; Hybrid; Power prediction

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APA (6th Edition):

Lively, C. (2012). E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11095

Chicago Manual of Style (16th Edition):

Lively, Charles. “E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems.” 2012. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11095.

MLA Handbook (7th Edition):

Lively, Charles. “E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems.” 2012. Web. 13 Apr 2021.

Vancouver:

Lively C. E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11095.

Council of Science Editors:

Lively C. E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11095


Texas A&M University

12. Matthews, Suzanne. Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees.

Degree: PhD, Computer Science, 2012, Texas A&M University

 Evolutionary relationships between a group of organisms are commonly summarized in a phylogenetic (or evolutionary) tree. The goal of phylogenetic inference is to infer the… (more)

Subjects/Keywords: computer science; computational biology, bioinformatics; systematic biology; biology; evolutionary tree; phylogenetic tree; tree collections; phylogeny; compression; version control

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APA (6th Edition):

Matthews, S. (2012). Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124

Chicago Manual of Style (16th Edition):

Matthews, Suzanne. “Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees.” 2012. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124.

MLA Handbook (7th Edition):

Matthews, Suzanne. “Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees.” 2012. Web. 13 Apr 2021.

Vancouver:

Matthews S. Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124.

Council of Science Editors:

Matthews S. Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124


Texas A&M University

13. Mason, Victor Christian. Reassessing Colugo Phylogeny, Taxonomy, and Biogeography by Genome Wide Comparisons and DNA Capture Hybridization from Museum Specimens.

Degree: PhD, Genetics, 2016, Texas A&M University

 The ability to uncover the phylogenetic history of archived museum material with molecular techniques has rapidly improved due to the reduced cost and increased sequence… (more)

Subjects/Keywords: colugo; sundaic biogeography; capture hybridization; mouse deer; pangolin; galeopterus; cynocephalus; tragulus; manis

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APA (6th Edition):

Mason, V. C. (2016). Reassessing Colugo Phylogeny, Taxonomy, and Biogeography by Genome Wide Comparisons and DNA Capture Hybridization from Museum Specimens. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174236

Chicago Manual of Style (16th Edition):

Mason, Victor Christian. “Reassessing Colugo Phylogeny, Taxonomy, and Biogeography by Genome Wide Comparisons and DNA Capture Hybridization from Museum Specimens.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/174236.

MLA Handbook (7th Edition):

Mason, Victor Christian. “Reassessing Colugo Phylogeny, Taxonomy, and Biogeography by Genome Wide Comparisons and DNA Capture Hybridization from Museum Specimens.” 2016. Web. 13 Apr 2021.

Vancouver:

Mason VC. Reassessing Colugo Phylogeny, Taxonomy, and Biogeography by Genome Wide Comparisons and DNA Capture Hybridization from Museum Specimens. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/174236.

Council of Science Editors:

Mason VC. Reassessing Colugo Phylogeny, Taxonomy, and Biogeography by Genome Wide Comparisons and DNA Capture Hybridization from Museum Specimens. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174236

14. Manshouri, Reza. Edge Ratchet and Simulated Annealing to Improve RF Score of the Supertree of Life.

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

 Constructing the Supertree of Life can provide crucially valuable knowledge to address many critical contemporary challenges such as fighting diseases, improving global agriculture, and protecting… (more)

Subjects/Keywords: phylogenetic; hill-climbing; simulated annealing; NP-hard

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APA (6th Edition):

Manshouri, R. (2017). Edge Ratchet and Simulated Annealing to Improve RF Score of the Supertree of Life. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169652

Chicago Manual of Style (16th Edition):

Manshouri, Reza. “Edge Ratchet and Simulated Annealing to Improve RF Score of the Supertree of Life.” 2017. Masters Thesis, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/169652.

MLA Handbook (7th Edition):

Manshouri, Reza. “Edge Ratchet and Simulated Annealing to Improve RF Score of the Supertree of Life.” 2017. Web. 13 Apr 2021.

Vancouver:

Manshouri R. Edge Ratchet and Simulated Annealing to Improve RF Score of the Supertree of Life. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/169652.

Council of Science Editors:

Manshouri R. Edge Ratchet and Simulated Annealing to Improve RF Score of the Supertree of Life. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169652

15. Kumar, Saptaparni. Fault-Tolerant Distributed Services in Message-Passing Systems.

Degree: PhD, Computer Science, 2019, Texas A&M University

 Distributed systems ranging from small local area networks to large wide area networks like the Internet composed of static and/or mobile users have become increasingly… (more)

Subjects/Keywords: Distributed Computing; Fault tolerance; Lower Bounds; Algorithms

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APA (6th Edition):

Kumar, S. (2019). Fault-Tolerant Distributed Services in Message-Passing Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/186154

Chicago Manual of Style (16th Edition):

Kumar, Saptaparni. “Fault-Tolerant Distributed Services in Message-Passing Systems.” 2019. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/186154.

MLA Handbook (7th Edition):

Kumar, Saptaparni. “Fault-Tolerant Distributed Services in Message-Passing Systems.” 2019. Web. 13 Apr 2021.

Vancouver:

Kumar S. Fault-Tolerant Distributed Services in Message-Passing Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/186154.

Council of Science Editors:

Kumar S. Fault-Tolerant Distributed Services in Message-Passing Systems. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/186154

16. DeJesus, Michael A. Bayesian Analysis of Transposon Mutagenesis Data.

Degree: MS, Computer Science, 2012, Texas A&M University

 Determining which genes are essential for growth of a bacterial organism is an important question to answer as it is useful for the discovery of… (more)

Subjects/Keywords: Bioinformatics; Bayesian Analysis; Gumbel; Metropolis Hastings; Sampling

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APA (6th Edition):

DeJesus, M. A. (2012). Bayesian Analysis of Transposon Mutagenesis Data. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11136

Chicago Manual of Style (16th Edition):

DeJesus, Michael A. “Bayesian Analysis of Transposon Mutagenesis Data.” 2012. Masters Thesis, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11136.

MLA Handbook (7th Edition):

DeJesus, Michael A. “Bayesian Analysis of Transposon Mutagenesis Data.” 2012. Web. 13 Apr 2021.

Vancouver:

DeJesus MA. Bayesian Analysis of Transposon Mutagenesis Data. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11136.

Council of Science Editors:

DeJesus MA. Bayesian Analysis of Transposon Mutagenesis Data. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11136

17. Cao, Yixin. Clustering and Inconsistent Information: A Kernelization Approach.

Degree: PhD, Computer Science, 2012, Texas A&M University

 Clustering is the unsupervised classification of patterns into groups, which is easy provided the data of patterns are consistent. However, real data are almost always… (more)

Subjects/Keywords: kernelization; clustering; feedback vertex set; fvs

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APA (6th Edition):

Cao, Y. (2012). Clustering and Inconsistent Information: A Kernelization Approach. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11160

Chicago Manual of Style (16th Edition):

Cao, Yixin. “Clustering and Inconsistent Information: A Kernelization Approach.” 2012. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11160.

MLA Handbook (7th Edition):

Cao, Yixin. “Clustering and Inconsistent Information: A Kernelization Approach.” 2012. Web. 13 Apr 2021.

Vancouver:

Cao Y. Clustering and Inconsistent Information: A Kernelization Approach. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11160.

Council of Science Editors:

Cao Y. Clustering and Inconsistent Information: A Kernelization Approach. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11160

18. Alamudun, Folami Tolulope. Eye Tracking Methods for Analysis of Visuo-Cognitive Behavior in Medical Imaging.

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

 Predictive modeling of human visual search behavior and the underlying metacognitive processes is now possible thanks to significant advances in bio-sensing device technology and machine… (more)

Subjects/Keywords: Eye tracking; biometrics; mammography; diagnostic error; shapelet

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APA (6th Edition):

Alamudun, F. T. (2016). Eye Tracking Methods for Analysis of Visuo-Cognitive Behavior in Medical Imaging. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157040

Chicago Manual of Style (16th Edition):

Alamudun, Folami Tolulope. “Eye Tracking Methods for Analysis of Visuo-Cognitive Behavior in Medical Imaging.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/157040.

MLA Handbook (7th Edition):

Alamudun, Folami Tolulope. “Eye Tracking Methods for Analysis of Visuo-Cognitive Behavior in Medical Imaging.” 2016. Web. 13 Apr 2021.

Vancouver:

Alamudun FT. Eye Tracking Methods for Analysis of Visuo-Cognitive Behavior in Medical Imaging. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/157040.

Council of Science Editors:

Alamudun FT. Eye Tracking Methods for Analysis of Visuo-Cognitive Behavior in Medical Imaging. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157040

19. Davis, Brian W. Resolution of Phylogenetic Relationships and Characterization of Y-Linked Microsatellites within the Big Cats, Panthera.

Degree: MS, Biomedical Science, 2010, Texas A&M University

 The pantherine lineage of cats diverged from the remainder of modern Felidae less than 11 million years ago. This clade consists of the five big… (more)

Subjects/Keywords: Panthera; phylogenetics; Y chromosome; phylogeny; mitochondria; tiger; lion; leopard; jaguar; cats; felid; numt; BEST; Bayesian; maximum likelihood

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APA (6th Edition):

Davis, B. W. (2010). Resolution of Phylogenetic Relationships and Characterization of Y-Linked Microsatellites within the Big Cats, Panthera. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7048

Chicago Manual of Style (16th Edition):

Davis, Brian W. “Resolution of Phylogenetic Relationships and Characterization of Y-Linked Microsatellites within the Big Cats, Panthera.” 2010. Masters Thesis, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7048.

MLA Handbook (7th Edition):

Davis, Brian W. “Resolution of Phylogenetic Relationships and Characterization of Y-Linked Microsatellites within the Big Cats, Panthera.” 2010. Web. 13 Apr 2021.

Vancouver:

Davis BW. Resolution of Phylogenetic Relationships and Characterization of Y-Linked Microsatellites within the Big Cats, Panthera. [Internet] [Masters thesis]. Texas A&M University; 2010. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7048.

Council of Science Editors:

Davis BW. Resolution of Phylogenetic Relationships and Characterization of Y-Linked Microsatellites within the Big Cats, Panthera. [Masters Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7048

20. Yi, Gang Man. Algorithms for Gene Clustering Analysis on Genomes.

Degree: PhD, Computer Science, 2012, Texas A&M University

 The increased availability of data in biological databases provides many opportunities for understanding biological processes through these data. As recent attention has shifted from sequence… (more)

Subjects/Keywords: gene clustering; protein family; bioinformatics

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APA (6th Edition):

Yi, G. M. (2012). Algorithms for Gene Clustering Analysis on Genomes. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9384

Chicago Manual of Style (16th Edition):

Yi, Gang Man. “Algorithms for Gene Clustering Analysis on Genomes.” 2012. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9384.

MLA Handbook (7th Edition):

Yi, Gang Man. “Algorithms for Gene Clustering Analysis on Genomes.” 2012. Web. 13 Apr 2021.

Vancouver:

Yi GM. Algorithms for Gene Clustering Analysis on Genomes. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9384.

Council of Science Editors:

Yi GM. Algorithms for Gene Clustering Analysis on Genomes. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9384

21. Sul, Seung Jin. Fast Hash-Based Algorithms for Analyzing Large Collections of Evolutionary Trees.

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

 Phylogenetic analysis can produce easily tens of thousands of equally plausible evolutionary trees. Consensus trees and topological distance matrices are often used to summarize the… (more)

Subjects/Keywords: phylogenetic analysis; evolutionary tree; hash, consensus tree; Robinson-Foulds distance

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APA (6th Edition):

Sul, S. J. (2011). Fast Hash-Based Algorithms for Analyzing Large Collections of Evolutionary Trees. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7591

Chicago Manual of Style (16th Edition):

Sul, Seung Jin. “Fast Hash-Based Algorithms for Analyzing Large Collections of Evolutionary Trees.” 2011. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7591.

MLA Handbook (7th Edition):

Sul, Seung Jin. “Fast Hash-Based Algorithms for Analyzing Large Collections of Evolutionary Trees.” 2011. Web. 13 Apr 2021.

Vancouver:

Sul SJ. Fast Hash-Based Algorithms for Analyzing Large Collections of Evolutionary Trees. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7591.

Council of Science Editors:

Sul SJ. Fast Hash-Based Algorithms for Analyzing Large Collections of Evolutionary Trees. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7591

22. Tapia, Lydia. Intelligent Motion Planning and Analysis with Probabilistic Roadmap Methods for the Study of Complex and High-Dimensional Motions.

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

 At first glance, robots and proteins have little in common. Robots are commonly thought of as tools that perform tasks such as vacuuming the floor,… (more)

Subjects/Keywords: motion planning; probabilistic roadmap methods; protein folding; RNA folding; robotics

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APA (6th Edition):

Tapia, L. (2011). Intelligent Motion Planning and Analysis with Probabilistic Roadmap Methods for the Study of Complex and High-Dimensional Motions. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7313

Chicago Manual of Style (16th Edition):

Tapia, Lydia. “Intelligent Motion Planning and Analysis with Probabilistic Roadmap Methods for the Study of Complex and High-Dimensional Motions.” 2011. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7313.

MLA Handbook (7th Edition):

Tapia, Lydia. “Intelligent Motion Planning and Analysis with Probabilistic Roadmap Methods for the Study of Complex and High-Dimensional Motions.” 2011. Web. 13 Apr 2021.

Vancouver:

Tapia L. Intelligent Motion Planning and Analysis with Probabilistic Roadmap Methods for the Study of Complex and High-Dimensional Motions. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7313.

Council of Science Editors:

Tapia L. Intelligent Motion Planning and Analysis with Probabilistic Roadmap Methods for the Study of Complex and High-Dimensional Motions. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7313


Texas A&M University

23. Park, Hyun Jung. Large-scale analysis of phylogenetic search behavior.

Degree: MS, Computer Science, 2009, Texas A&M University

 Phylogenetic analysis is used in all branches of biology by inferring evolutionary trees. Applications include designing more effective drugs, tracing the transmission of deadly viruses,… (more)

Subjects/Keywords: phylogenetic trees; maximum parsimony

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APA (6th Edition):

Park, H. J. (2009). Large-scale analysis of phylogenetic search behavior. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1452

Chicago Manual of Style (16th Edition):

Park, Hyun Jung. “Large-scale analysis of phylogenetic search behavior.” 2009. Masters Thesis, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-1452.

MLA Handbook (7th Edition):

Park, Hyun Jung. “Large-scale analysis of phylogenetic search behavior.” 2009. Web. 13 Apr 2021.

Vancouver:

Park HJ. Large-scale analysis of phylogenetic search behavior. [Internet] [Masters thesis]. Texas A&M University; 2009. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1452.

Council of Science Editors:

Park HJ. Large-scale analysis of phylogenetic search behavior. [Masters Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1452


Texas A&M University

24. Maduike, Dumezie K. Design and Implementation of Physical Layer Network Coding Protocols.

Degree: MS, Electrical Engineering, 2010, Texas A&M University

 There has recently been growing interest in using physical layer network coding techniques to facilitate information transfer in wireless relay networks. The physical layer network… (more)

Subjects/Keywords: Signal Processing; Physical Layer; Network Coding; Analog Network Coding; Viterbi Decoding; Synchronization; Lack of Synchronization; Wireless Interference; Decode-and-Forward; Matched Filter; Timing Offset; 3-node Relay Network; SDRs; GNU Radio; USRP

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APA (6th Edition):

Maduike, D. K. (2010). Design and Implementation of Physical Layer Network Coding Protocols. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7194

Chicago Manual of Style (16th Edition):

Maduike, Dumezie K. “Design and Implementation of Physical Layer Network Coding Protocols.” 2010. Masters Thesis, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7194.

MLA Handbook (7th Edition):

Maduike, Dumezie K. “Design and Implementation of Physical Layer Network Coding Protocols.” 2010. Web. 13 Apr 2021.

Vancouver:

Maduike DK. Design and Implementation of Physical Layer Network Coding Protocols. [Internet] [Masters thesis]. Texas A&M University; 2010. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7194.

Council of Science Editors:

Maduike DK. Design and Implementation of Physical Layer Network Coding Protocols. [Masters Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7194


Texas A&M University

25. Lu, Yue. Improving the quality of multiple sequence alignment.

Degree: PhD, Biochemistry, 2009, Texas A&M University

 Multiple sequence alignment is an important bioinformatics problem, with applications in diverse types of biological analysis, such as structure prediction, phylogenetic analysis and critical sites… (more)

Subjects/Keywords: Multiple Sequence Alignment; Algorithms; Bioinformatics

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APA (6th Edition):

Lu, Y. (2009). Improving the quality of multiple sequence alignment. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3111

Chicago Manual of Style (16th Edition):

Lu, Yue. “Improving the quality of multiple sequence alignment.” 2009. Doctoral Dissertation, Texas A&M University. Accessed April 13, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-3111.

MLA Handbook (7th Edition):

Lu, Yue. “Improving the quality of multiple sequence alignment.” 2009. Web. 13 Apr 2021.

Vancouver:

Lu Y. Improving the quality of multiple sequence alignment. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3111.

Council of Science Editors:

Lu Y. Improving the quality of multiple sequence alignment. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3111

.