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You searched for +publisher:"Clemson University" +contributor:("Srimani , Pradip K."). Showing records 1 – 9 of 9 total matches.

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Clemson University

1. Li, Bo. Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains.

Degree: PhD, Computer Science, 2011, Clemson University

  Synthetic lethal genetic interaction (SLGI) is an important biological phenomenon. Such interactions are of interest as they can be used to predict function of… (more)

Subjects/Keywords: Genetic Interaction; Maximum Likelihood Estimation; Protein Domain; Short Polypeptide Cluster; Support Vector Machine; Synthetic Lethal; Bioinformatics

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APA (6th Edition):

Li, B. (2011). Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/752

Chicago Manual of Style (16th Edition):

Li, Bo. “Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains.” 2011. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/752.

MLA Handbook (7th Edition):

Li, Bo. “Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains.” 2011. Web. 26 Jan 2020.

Vancouver:

Li B. Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains. [Internet] [Doctoral dissertation]. Clemson University; 2011. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/752.

Council of Science Editors:

Li B. Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains. [Doctoral Dissertation]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_dissertations/752


Clemson University

2. Dong, Liang. Hybrid Query Expansion on Ontology Graph in Biomedical Information Retrieval.

Degree: PhD, School of Computing, 2012, Clemson University

 Nowadays, biomedical researchers publish thousands of papers and journals every day. Searching through biomedical literature to keep up with the state of the art is… (more)

Subjects/Keywords: biomedical search engine; personalized PageRank; query expansion; word similarity; Computer Sciences

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APA (6th Edition):

Dong, L. (2012). Hybrid Query Expansion on Ontology Graph in Biomedical Information Retrieval. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/903

Chicago Manual of Style (16th Edition):

Dong, Liang. “Hybrid Query Expansion on Ontology Graph in Biomedical Information Retrieval.” 2012. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/903.

MLA Handbook (7th Edition):

Dong, Liang. “Hybrid Query Expansion on Ontology Graph in Biomedical Information Retrieval.” 2012. Web. 26 Jan 2020.

Vancouver:

Dong L. Hybrid Query Expansion on Ontology Graph in Biomedical Information Retrieval. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/903.

Council of Science Editors:

Dong L. Hybrid Query Expansion on Ontology Graph in Biomedical Information Retrieval. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/903


Clemson University

3. Li, Lin. A COMPUTATIONAL PIPELINE FOR MCI DETECTION FROM HETEROGENEOUS BRAIN IMAGES.

Degree: PhD, Computer Science, 2012, Clemson University

 The aging population has increased the importance of identifying and understanding mild cognitive impairment (MCI), particularly given that 6 - 15 % of MCI cases… (more)

Subjects/Keywords: Computer Sciences

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APA (6th Edition):

Li, L. (2012). A COMPUTATIONAL PIPELINE FOR MCI DETECTION FROM HETEROGENEOUS BRAIN IMAGES. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/882

Chicago Manual of Style (16th Edition):

Li, Lin. “A COMPUTATIONAL PIPELINE FOR MCI DETECTION FROM HETEROGENEOUS BRAIN IMAGES.” 2012. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/882.

MLA Handbook (7th Edition):

Li, Lin. “A COMPUTATIONAL PIPELINE FOR MCI DETECTION FROM HETEROGENEOUS BRAIN IMAGES.” 2012. Web. 26 Jan 2020.

Vancouver:

Li L. A COMPUTATIONAL PIPELINE FOR MCI DETECTION FROM HETEROGENEOUS BRAIN IMAGES. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/882.

Council of Science Editors:

Li L. A COMPUTATIONAL PIPELINE FOR MCI DETECTION FROM HETEROGENEOUS BRAIN IMAGES. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/882


Clemson University

4. Whitley, Adam. Approximation Algorithms for Network Interdiction and Fortification Problems.

Degree: PhD, Computer Science, 2010, Clemson University

 This dissertation discusses algorithms and results on several NP–hard graph problems which can all be classified as network interdiction and network fortification problems. The first… (more)

Subjects/Keywords: Computer Sciences

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APA (6th Edition):

Whitley, A. (2010). Approximation Algorithms for Network Interdiction and Fortification Problems. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/646

Chicago Manual of Style (16th Edition):

Whitley, Adam. “Approximation Algorithms for Network Interdiction and Fortification Problems.” 2010. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/646.

MLA Handbook (7th Edition):

Whitley, Adam. “Approximation Algorithms for Network Interdiction and Fortification Problems.” 2010. Web. 26 Jan 2020.

Vancouver:

Whitley A. Approximation Algorithms for Network Interdiction and Fortification Problems. [Internet] [Doctoral dissertation]. Clemson University; 2010. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/646.

Council of Science Editors:

Whitley A. Approximation Algorithms for Network Interdiction and Fortification Problems. [Doctoral Dissertation]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_dissertations/646


Clemson University

5. Duffy, Edward. The Design & Implementation of an Abstract Semantic Graph for Statement-Level Dynamic Analysis of C++ Applications.

Degree: PhD, Computer Science, 2011, Clemson University

 In this thesis, we describe our system, Hylian, for statement-level analysis, both static and dynamic, of a C++ application. We begin by extending the GNU… (more)

Subjects/Keywords: Abstract semantic graph; Dynamic analysis; Programming languages; Semantic analysis; Computer Sciences

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APA (6th Edition):

Duffy, E. (2011). The Design & Implementation of an Abstract Semantic Graph for Statement-Level Dynamic Analysis of C++ Applications. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/832

Chicago Manual of Style (16th Edition):

Duffy, Edward. “The Design & Implementation of an Abstract Semantic Graph for Statement-Level Dynamic Analysis of C++ Applications.” 2011. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/832.

MLA Handbook (7th Edition):

Duffy, Edward. “The Design & Implementation of an Abstract Semantic Graph for Statement-Level Dynamic Analysis of C++ Applications.” 2011. Web. 26 Jan 2020.

Vancouver:

Duffy E. The Design & Implementation of an Abstract Semantic Graph for Statement-Level Dynamic Analysis of C++ Applications. [Internet] [Doctoral dissertation]. Clemson University; 2011. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/832.

Council of Science Editors:

Duffy E. The Design & Implementation of an Abstract Semantic Graph for Statement-Level Dynamic Analysis of C++ Applications. [Doctoral Dissertation]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_dissertations/832


Clemson University

6. Wahba, Sally. A Radio Link Quality Model and Simulation Framework for Improving the Design of Embedded Wireless Systems.

Degree: PhD, Computer Science, 2012, Clemson University

 Despite the increasing application of embedded wireless systems, developers face numerous challenges during the design phase of the application life cycle. One of the critical… (more)

Subjects/Keywords: embedded wireless systems; networking; radio link quality; simulation; software engineering; wireless sensor networks; Computer Sciences

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APA (6th Edition):

Wahba, S. (2012). A Radio Link Quality Model and Simulation Framework for Improving the Design of Embedded Wireless Systems. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/934

Chicago Manual of Style (16th Edition):

Wahba, Sally. “A Radio Link Quality Model and Simulation Framework for Improving the Design of Embedded Wireless Systems.” 2012. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/934.

MLA Handbook (7th Edition):

Wahba, Sally. “A Radio Link Quality Model and Simulation Framework for Improving the Design of Embedded Wireless Systems.” 2012. Web. 26 Jan 2020.

Vancouver:

Wahba S. A Radio Link Quality Model and Simulation Framework for Improving the Design of Embedded Wireless Systems. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/934.

Council of Science Editors:

Wahba S. A Radio Link Quality Model and Simulation Framework for Improving the Design of Embedded Wireless Systems. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/934


Clemson University

7. Im, Tacksoo. A Reasoning Framework for Dependability in Software Architectures.

Degree: PhD, Computer Science, 2010, Clemson University

 The degree to which a software system possesses specified levels of software quality attributes, such as performance and modifiability, often have more influence on the… (more)

Subjects/Keywords: dependability; reasoning framework; software analysis; software architecture; software engineering; Computer Sciences

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APA (6th Edition):

Im, T. (2010). A Reasoning Framework for Dependability in Software Architectures. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/618

Chicago Manual of Style (16th Edition):

Im, Tacksoo. “A Reasoning Framework for Dependability in Software Architectures.” 2010. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/618.

MLA Handbook (7th Edition):

Im, Tacksoo. “A Reasoning Framework for Dependability in Software Architectures.” 2010. Web. 26 Jan 2020.

Vancouver:

Im T. A Reasoning Framework for Dependability in Software Architectures. [Internet] [Doctoral dissertation]. Clemson University; 2010. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/618.

Council of Science Editors:

Im T. A Reasoning Framework for Dependability in Software Architectures. [Doctoral Dissertation]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_dissertations/618


Clemson University

8. Grindinger, Thomas. Event-driven Similarity and Classification of Scanpaths.

Degree: PhD, Computer Science, 2010, Clemson University

 Eye tracking experiments often involve recording the pattern of deployment of visual attention over the stimulus as viewers perform a given task (e.g., visual search).… (more)

Subjects/Keywords: data mining; eye tracking; machine learning; Computer Sciences

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APA (6th Edition):

Grindinger, T. (2010). Event-driven Similarity and Classification of Scanpaths. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/608

Chicago Manual of Style (16th Edition):

Grindinger, Thomas. “Event-driven Similarity and Classification of Scanpaths.” 2010. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/608.

MLA Handbook (7th Edition):

Grindinger, Thomas. “Event-driven Similarity and Classification of Scanpaths.” 2010. Web. 26 Jan 2020.

Vancouver:

Grindinger T. Event-driven Similarity and Classification of Scanpaths. [Internet] [Doctoral dissertation]. Clemson University; 2010. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/608.

Council of Science Editors:

Grindinger T. Event-driven Similarity and Classification of Scanpaths. [Doctoral Dissertation]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_dissertations/608


Clemson University

9. Jiang, Hao. Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks.

Degree: PhD, Computer Science, 2012, Clemson University

 Wireless sensor networks are composed of large numbers of resource-lean sensors that collect low-level inputs from the physical world. The applications present challenges for programmers.… (more)

Subjects/Keywords: Algorithm; Classification; Sensor Network; Simulation; Tracking; Computer Sciences

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

APA (6th Edition):

Jiang, H. (2012). Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/993

Chicago Manual of Style (16th Edition):

Jiang, Hao. “Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks.” 2012. Doctoral Dissertation, Clemson University. Accessed January 26, 2020. https://tigerprints.clemson.edu/all_dissertations/993.

MLA Handbook (7th Edition):

Jiang, Hao. “Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks.” 2012. Web. 26 Jan 2020.

Vancouver:

Jiang H. Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2020 Jan 26]. Available from: https://tigerprints.clemson.edu/all_dissertations/993.

Council of Science Editors:

Jiang H. Fast and Efficient Classification, Tracking, and Simulation in Wireless Sensor Networks. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/993

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