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You searched for +publisher:"University of North Texas" +contributor:("Huang, Yan"). Showing records 1 – 30 of 49 total matches.

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University of North Texas

1. Neppalli, Venkata Kishore. Extracting Useful Information from Social Media during Disaster Events.

Degree: 2017, University of North Texas

 In recent years, social media platforms such as Twitter and Facebook have emerged as effective tools for broadcasting messages worldwide during disaster events. With millions… (more)

Subjects/Keywords: Twitter; Sentiment Analysis; Emotional Divergence; Retweetability Analysis; Retweetability Prediction; Informative Tweets; Hurricane Sandy; Hurricane Patricia; disaster events.; Computer Science; Artificial Intelligence

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APA (6th Edition):

Neppalli, V. K. (2017). Extracting Useful Information from Social Media during Disaster Events. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc984251/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Neppalli, Venkata Kishore. “Extracting Useful Information from Social Media during Disaster Events.” 2017. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc984251/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Neppalli, Venkata Kishore. “Extracting Useful Information from Social Media during Disaster Events.” 2017. Web. 22 Oct 2019.

Vancouver:

Neppalli VK. Extracting Useful Information from Social Media during Disaster Events. [Internet] [Thesis]. University of North Texas; 2017. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc984251/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Neppalli VK. Extracting Useful Information from Social Media during Disaster Events. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc984251/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

2. Sanagavarapu, Krishna Chaitanya. Determining Whether and When People Participate in the Events They Tweet About.

Degree: 2017, University of North Texas

 This work describes an approach to determine whether people participate in the events they tweet about. Specifically, we determine whether people are participants in events… (more)

Subjects/Keywords: Twitter events; author participation; machine learning; natural language processing; social media; corpus analysis; Computer Science

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APA (6th Edition):

Sanagavarapu, K. C. (2017). Determining Whether and When People Participate in the Events They Tweet About. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc984235/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sanagavarapu, Krishna Chaitanya. “Determining Whether and When People Participate in the Events They Tweet About.” 2017. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc984235/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sanagavarapu, Krishna Chaitanya. “Determining Whether and When People Participate in the Events They Tweet About.” 2017. Web. 22 Oct 2019.

Vancouver:

Sanagavarapu KC. Determining Whether and When People Participate in the Events They Tweet About. [Internet] [Thesis]. University of North Texas; 2017. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc984235/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sanagavarapu KC. Determining Whether and When People Participate in the Events They Tweet About. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc984235/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

3. Castro Hernandez, Alberto. Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams.

Degree: 2017, University of North Texas

 Virtual teams in industry are increasingly being used to develop software, create products, and accomplish tasks. However, analyzing those collaborations under same-time/different-place conditions is well-known… (more)

Subjects/Keywords: group cohesion; collaborative interaction; e-learning

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APA (6th Edition):

Castro Hernandez, A. (2017). Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc984118/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Castro Hernandez, Alberto. “Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams.” 2017. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc984118/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Castro Hernandez, Alberto. “Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams.” 2017. Web. 22 Oct 2019.

Vancouver:

Castro Hernandez A. Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams. [Internet] [Thesis]. University of North Texas; 2017. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc984118/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Castro Hernandez A. Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc984118/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

4. Liu, Zhi. Location Estimation and Geo-Correlated Information Trends.

Degree: 2017, University of North Texas

 A tremendous amount of information is being shared every day on social media sites such as Facebook, Twitter or Google+. However, only a small portion… (more)

Subjects/Keywords: Location Estimation; Event Detection; Topic Association

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APA (6th Edition):

Liu, Z. (2017). Location Estimation and Geo-Correlated Information Trends. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1062799/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Zhi. “Location Estimation and Geo-Correlated Information Trends.” 2017. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc1062799/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Zhi. “Location Estimation and Geo-Correlated Information Trends.” 2017. Web. 22 Oct 2019.

Vancouver:

Liu Z. Location Estimation and Geo-Correlated Information Trends. [Internet] [Thesis]. University of North Texas; 2017. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1062799/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu Z. Location Estimation and Geo-Correlated Information Trends. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc1062799/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

5. Doudagiri, Vivek Reddy. Extracting Temporally-Anchored Knowledge from Tweets.

Degree: 2018, University of North Texas

 Twitter has quickly become one of the most popular social media sites. It has 313 million monthly active users, and 500 million tweets are published… (more)

Subjects/Keywords: Tweets; Temporal; spatial; NLP; Location; Author; Machine Learning; UNT; Social Media; corpus; Computer Science; Education, Technology

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APA (6th Edition):

Doudagiri, V. R. (2018). Extracting Temporally-Anchored Knowledge from Tweets. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157588/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Doudagiri, Vivek Reddy. “Extracting Temporally-Anchored Knowledge from Tweets.” 2018. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc1157588/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Doudagiri, Vivek Reddy. “Extracting Temporally-Anchored Knowledge from Tweets.” 2018. Web. 22 Oct 2019.

Vancouver:

Doudagiri VR. Extracting Temporally-Anchored Knowledge from Tweets. [Internet] [Thesis]. University of North Texas; 2018. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157588/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doudagiri VR. Extracting Temporally-Anchored Knowledge from Tweets. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157588/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

6. Nurmuradov, Dmitriy. Hybrid Approaches in Test Suite Prioritization.

Degree: 2018, University of North Texas

 The rapid advancement of web and mobile application technologies has recently posed numerous challenges to the Software Engineering community, including how to cost-effectively test applications… (more)

Subjects/Keywords: software engineering; software testing; test suite prioritization; mobile testing; hybrid test prioritization; heat maps; Computer Science

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APA (6th Edition):

Nurmuradov, D. (2018). Hybrid Approaches in Test Suite Prioritization. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157606/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nurmuradov, Dmitriy. “Hybrid Approaches in Test Suite Prioritization.” 2018. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc1157606/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nurmuradov, Dmitriy. “Hybrid Approaches in Test Suite Prioritization.” 2018. Web. 22 Oct 2019.

Vancouver:

Nurmuradov D. Hybrid Approaches in Test Suite Prioritization. [Internet] [Thesis]. University of North Texas; 2018. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157606/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nurmuradov D. Hybrid Approaches in Test Suite Prioritization. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157606/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

7. Griffin, Terry W. GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction.

Degree: 2012, University of North Texas

 In the United States, smartphone ownership surpassed 69.5 million in February 2011 with a large portion of those users (20%) downloading applications (apps) that enhance… (more)

Subjects/Keywords: Location prediction; data mining; GPS; GIS

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APA (6th Edition):

Griffin, T. W. (2012). GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc115089/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Griffin, Terry W. “GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction.” 2012. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc115089/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Griffin, Terry W. “GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction.” 2012. Web. 22 Oct 2019.

Vancouver:

Griffin TW. GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc115089/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Griffin TW. GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc115089/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

8. Belkhouche, Mohammed Yassine. Multi-perspective, Multi-modal Image Registration and Fusion.

Degree: 2012, University of North Texas

 Multi-modal image fusion is an active research area with many civilian and military applications. Fusion is defined as strategic combination of information collected by various… (more)

Subjects/Keywords: Multi-model registration; multi-model fusion; LiDAR filtering; shape signature; manifold learning

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APA (6th Edition):

Belkhouche, M. Y. (2012). Multi-perspective, Multi-modal Image Registration and Fusion. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc149562/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Belkhouche, Mohammed Yassine. “Multi-perspective, Multi-modal Image Registration and Fusion.” 2012. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc149562/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Belkhouche, Mohammed Yassine. “Multi-perspective, Multi-modal Image Registration and Fusion.” 2012. Web. 22 Oct 2019.

Vancouver:

Belkhouche MY. Multi-perspective, Multi-modal Image Registration and Fusion. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc149562/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Belkhouche MY. Multi-perspective, Multi-modal Image Registration and Fusion. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc149562/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

9. He, Dayin. A Smooth-turn Mobility Model for Airborne Networks.

Degree: 2012, University of North Texas

 In this article, I introduce a novel airborne network mobility model, called the Smooth Turn Mobility Model, that captures the correlation of acceleration for airborne… (more)

Subjects/Keywords: Mobility model; airborne networks; randomness

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APA (6th Edition):

He, D. (2012). A Smooth-turn Mobility Model for Airborne Networks. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc149603/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

He, Dayin. “A Smooth-turn Mobility Model for Airborne Networks.” 2012. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc149603/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

He, Dayin. “A Smooth-turn Mobility Model for Airborne Networks.” 2012. Web. 22 Oct 2019.

Vancouver:

He D. A Smooth-turn Mobility Model for Airborne Networks. [Internet] [Thesis]. University of North Texas; 2012. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc149603/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

He D. A Smooth-turn Mobility Model for Airborne Networks. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc149603/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

10. Shen, Chao. The Design Of A Benchmark For Geo-stream Management Systems.

Degree: 2011, University of North Texas

 The recent growth in sensor technology allows easier information gathering in real-time as sensors have grown smaller, more accurate, and less expensive. The resulting data… (more)

Subjects/Keywords: Benchmark; Geo-Stream; database; GSMS; data stream; moving points; moving polygon

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APA (6th Edition):

Shen, C. (2011). The Design Of A Benchmark For Geo-stream Management Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc103392/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shen, Chao. “The Design Of A Benchmark For Geo-stream Management Systems.” 2011. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc103392/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shen, Chao. “The Design Of A Benchmark For Geo-stream Management Systems.” 2011. Web. 22 Oct 2019.

Vancouver:

Shen C. The Design Of A Benchmark For Geo-stream Management Systems. [Internet] [Thesis]. University of North Texas; 2011. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc103392/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shen C. The Design Of A Benchmark For Geo-stream Management Systems. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc103392/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

11. Bulgarov, Florin Adrian. Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications.

Degree: 2018, University of North Texas

 Recent advancements in machine learning have started to put their mark on educational technology. Technology is evolving fast and, as people adopt it, schools and… (more)

Subjects/Keywords: educational application; knowledge representation; natural language processing; machine learning; student response analysis; classroom engagement; minimal meaningful proposition

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APA (6th Edition):

Bulgarov, F. A. (2018). Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1404562/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bulgarov, Florin Adrian. “Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications.” 2018. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc1404562/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bulgarov, Florin Adrian. “Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications.” 2018. Web. 22 Oct 2019.

Vancouver:

Bulgarov FA. Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications. [Internet] [Thesis]. University of North Texas; 2018. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404562/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bulgarov FA. Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404562/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

12. Luo, Ning. A Wireless Traffic Surveillance System Using Video Analytics.

Degree: 2011, University of North Texas

 Video surveillance systems have been commonly used in transportation systems to support traffic monitoring, speed estimation, and incident detection. However, there are several challenges in… (more)

Subjects/Keywords: Wireless communication; video analytics; traffic

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APA (6th Edition):

Luo, N. (2011). A Wireless Traffic Surveillance System Using Video Analytics. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc68005/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Luo, Ning. “A Wireless Traffic Surveillance System Using Video Analytics.” 2011. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc68005/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Luo, Ning. “A Wireless Traffic Surveillance System Using Video Analytics.” 2011. Web. 22 Oct 2019.

Vancouver:

Luo N. A Wireless Traffic Surveillance System Using Video Analytics. [Internet] [Thesis]. University of North Texas; 2011. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc68005/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Luo N. A Wireless Traffic Surveillance System Using Video Analytics. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc68005/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

13. Zhang, Chengyang. Toward a Data-Type-Based Real Time Geospatial Data Stream Management System.

Degree: 2011, University of North Texas

 The advent of sensory and communication technologies enables the generation and consumption of large volumes of streaming data. Many of these data streams are geo-referenced.… (more)

Subjects/Keywords: Data stream; sensor networks; spatial database

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APA (6th Edition):

Zhang, C. (2011). Toward a Data-Type-Based Real Time Geospatial Data Stream Management System. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc68070/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Chengyang. “Toward a Data-Type-Based Real Time Geospatial Data Stream Management System.” 2011. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc68070/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Chengyang. “Toward a Data-Type-Based Real Time Geospatial Data Stream Management System.” 2011. Web. 22 Oct 2019.

Vancouver:

Zhang C. Toward a Data-Type-Based Real Time Geospatial Data Stream Management System. [Internet] [Thesis]. University of North Texas; 2011. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc68070/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang C. Toward a Data-Type-Based Real Time Geospatial Data Stream Management System. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc68070/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

14. Guan, Qiang. Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems.

Degree: 2014, University of North Texas

 The increasingly popular cloud-computing paradigm provides on-demand access to computing and storage with the appearance of unlimited resources. Users are given access to a variety… (more)

Subjects/Keywords: Cloud computing; failure identification; failure diagnosis; dependability; Cloud computing.; Intelligent agents (Computer software)

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APA (6th Edition):

Guan, Q. (2014). Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc499993/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Guan, Qiang. “Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems.” 2014. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc499993/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Guan, Qiang. “Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems.” 2014. Web. 22 Oct 2019.

Vancouver:

Guan Q. Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems. [Internet] [Thesis]. University of North Texas; 2014. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc499993/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guan Q. Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc499993/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

15. Venumuddala, Ramu Reddy. Distributed Frameworks Towards Building an Open Data Architecture.

Degree: 2015, University of North Texas

 Data is everywhere. The current Technological advancements in Digital, Social media and the ease at which the availability of different application services to interact with… (more)

Subjects/Keywords: Hadoop; Hive; MapReduce; Flume; Software architecture.; Data structures (Computer science); Apache Hadoop.

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APA (6th Edition):

Venumuddala, R. R. (2015). Distributed Frameworks Towards Building an Open Data Architecture. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc801911/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Venumuddala, Ramu Reddy. “Distributed Frameworks Towards Building an Open Data Architecture.” 2015. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc801911/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Venumuddala, Ramu Reddy. “Distributed Frameworks Towards Building an Open Data Architecture.” 2015. Web. 22 Oct 2019.

Vancouver:

Venumuddala RR. Distributed Frameworks Towards Building an Open Data Architecture. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc801911/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Venumuddala RR. Distributed Frameworks Towards Building an Open Data Architecture. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc801911/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

16. Janmohammadi, Siamak. Classifying Pairwise Object Interactions: A Trajectory Analytics Approach.

Degree: 2015, University of North Texas

 We have a huge amount of video data from extensively available surveillance cameras and increasingly growing technology to record the motion of a moving object… (more)

Subjects/Keywords: action recognition; machine learning; trajectory analysis; supervised classification methods; activity recognition; Human activity recognition.; Pattern recognition systems.; Machine learning.; Electronic surveillance.

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

APA (6th Edition):

Janmohammadi, S. (2015). Classifying Pairwise Object Interactions: A Trajectory Analytics Approach. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc801901/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Janmohammadi, Siamak. “Classifying Pairwise Object Interactions: A Trajectory Analytics Approach.” 2015. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc801901/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Janmohammadi, Siamak. “Classifying Pairwise Object Interactions: A Trajectory Analytics Approach.” 2015. Web. 22 Oct 2019.

Vancouver:

Janmohammadi S. Classifying Pairwise Object Interactions: A Trajectory Analytics Approach. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc801901/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janmohammadi S. Classifying Pairwise Object Interactions: A Trajectory Analytics Approach. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc801901/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

17. Kumara, Muthukudage Jayantha. Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements.

Degree: 2013, University of North Texas

 The effectiveness of colonoscopy depends on the quality of the inspection of the colon. There was no automated measurement method to evaluate the quality of… (more)

Subjects/Keywords: Image classification; convex hull; objects detection; medical image analysis

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APA (6th Edition):

Kumara, M. J. (2013). Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc283843/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kumara, Muthukudage Jayantha. “Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements.” 2013. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc283843/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kumara, Muthukudage Jayantha. “Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements.” 2013. Web. 22 Oct 2019.

Vancouver:

Kumara MJ. Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements. [Internet] [Thesis]. University of North Texas; 2013. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc283843/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kumara MJ. Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc283843/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

18. Nawarathna, Ruwan D. Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos.

Degree: 2013, University of North Texas

 Recent reports suggest that measuring the objective quality is very essential towards the success of colonoscopy. Several quality indicators (i.e. metrics) proposed in recent studies… (more)

Subjects/Keywords: Colonoscopy; quality analysis; capsule endoscopy; abnormal detection; motion estimation

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APA (6th Edition):

Nawarathna, R. D. (2013). Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc283849/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nawarathna, Ruwan D. “Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos.” 2013. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc283849/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nawarathna, Ruwan D. “Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos.” 2013. Web. 22 Oct 2019.

Vancouver:

Nawarathna RD. Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos. [Internet] [Thesis]. University of North Texas; 2013. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc283849/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nawarathna RD. Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc283849/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

19. Huang, Song. Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems.

Degree: 2019, University of North Texas

 With the advent of information explosion age, larger capacity disk drives are used to store data and powerful devices are used to process big data.… (more)

Subjects/Keywords: reliability; disk failure; storage system; power and energy; energy efficiency; Computer Science

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APA (6th Edition):

Huang, S. (2019). Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1505142/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Song. “Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems.” 2019. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505142/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Song. “Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems.” 2019. Web. 22 Oct 2019.

Vancouver:

Huang S. Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems. [Internet] [Thesis]. University of North Texas; 2019. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505142/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang S. Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505142/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

20. Xie, Junfei. Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty.

Degree: 2016, University of North Texas

 Managing large-scale dynamical systems (e.g., transportation systems, complex information systems, and power networks, etc.) in real-time is very challenging considering their complicated system dynamics, intricate… (more)

Subjects/Keywords: Large-scale dynamical system; Uncertainty evaluation; System modeling; Optimal control

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APA (6th Edition):

Xie, J. (2016). Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc862845/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xie, Junfei. “Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty.” 2016. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc862845/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xie, Junfei. “Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty.” 2016. Web. 22 Oct 2019.

Vancouver:

Xie J. Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty. [Internet] [Thesis]. University of North Texas; 2016. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc862845/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xie J. Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc862845/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

21. Yang, Jue. Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications.

Degree: 2010, University of North Texas

 Environmental monitoring represents a major application domain for wireless sensor networks (WSN). However, despite significant advances in recent years, there are still many challenging issues… (more)

Subjects/Keywords: Wireless sensor networks.; duty cycle scheduling; energy efficient; multihop routing; time synchronization; environmental monitoring; Environmental monitoring  – Data processing.; Environmental monitoring  – Texas.

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APA (6th Edition):

Yang, J. (2010). Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc28493/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Jue. “Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications.” 2010. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc28493/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Jue. “Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications.” 2010. Web. 22 Oct 2019.

Vancouver:

Yang J. Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications. [Internet] [Thesis]. University of North Texas; 2010. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc28493/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang J. Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications. [Thesis]. University of North Texas; 2010. Available from: https://digital.library.unt.edu/ark:/67531/metadc28493/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

22. Wan, Yiwen. Trajectories As a Unifying Cross Domain Feature for Surveillance Systems.

Degree: 2014, University of North Texas

 Manual video analysis is apparently a tedious task. An efficient solution is of highly importance to automate the process and to assist operators. A major… (more)

Subjects/Keywords: Video analysis; trajectory analysis; activities understanding; cross-domain; Traffic monitoring.; Video surveillance.; Image processing.; Highway communications.

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APA (6th Edition):

Wan, Y. (2014). Trajectories As a Unifying Cross Domain Feature for Surveillance Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc699997/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wan, Yiwen. “Trajectories As a Unifying Cross Domain Feature for Surveillance Systems.” 2014. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc699997/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wan, Yiwen. “Trajectories As a Unifying Cross Domain Feature for Surveillance Systems.” 2014. Web. 22 Oct 2019.

Vancouver:

Wan Y. Trajectories As a Unifying Cross Domain Feature for Surveillance Systems. [Internet] [Thesis]. University of North Texas; 2014. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc699997/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wan Y. Trajectories As a Unifying Cross Domain Feature for Surveillance Systems. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc699997/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

23. Wang, Qian. Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey.

Degree: 2014, University of North Texas

 High precision data from household travel survey (HTS) is extremely important for the transportation research, traffic models and policy formulation. Traditional methods of data collection… (more)

Subjects/Keywords: Household travel survey; smartphone-based method; smartphone software; Traffic surveys  – Methodology.; Origin and destination traffic surveys  – Methodology.; Application software.

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APA (6th Edition):

Wang, Q. (2014). Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc700116/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Qian. “Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey.” 2014. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc700116/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Qian. “Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey.” 2014. Web. 22 Oct 2019.

Vancouver:

Wang Q. Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey. [Internet] [Thesis]. University of North Texas; 2014. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc700116/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Q. Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc700116/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

24. Cheng, Guangchun. Video Analytics with Spatio-Temporal Characteristics of Activities.

Degree: 2015, University of North Texas

 As video capturing devices become more ubiquitous from surveillance cameras to smart phones, the demand of automated video analysis is increasing as never before. One… (more)

Subjects/Keywords: video analytics; action recognition; spatio-temporal; anomaly detection; region of interest; Image analysis.; Image processing.; Pattern recognition systems.

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APA (6th Edition):

Cheng, G. (2015). Video Analytics with Spatio-Temporal Characteristics of Activities. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc799541/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cheng, Guangchun. “Video Analytics with Spatio-Temporal Characteristics of Activities.” 2015. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc799541/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cheng, Guangchun. “Video Analytics with Spatio-Temporal Characteristics of Activities.” 2015. Web. 22 Oct 2019.

Vancouver:

Cheng G. Video Analytics with Spatio-Temporal Characteristics of Activities. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc799541/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheng G. Video Analytics with Spatio-Temporal Characteristics of Activities. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc799541/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

25. Brooks, Ian Robert. SEM Predicting Success of Student Global Software Development Teams.

Degree: 2015, University of North Texas

 The extensive use of global teams to develop software has prompted researchers to investigate various factors that can enhance a team’s performance. While a significant… (more)

Subjects/Keywords: global software development; software; engineering; virtual teams; team performance; Computer software  – Development  – Management.; Teams in the workplace.

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APA (6th Edition):

Brooks, I. R. (2015). SEM Predicting Success of Student Global Software Development Teams. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc799549/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brooks, Ian Robert. “SEM Predicting Success of Student Global Software Development Teams.” 2015. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc799549/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brooks, Ian Robert. “SEM Predicting Success of Student Global Software Development Teams.” 2015. Web. 22 Oct 2019.

Vancouver:

Brooks IR. SEM Predicting Success of Student Global Software Development Teams. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc799549/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brooks IR. SEM Predicting Success of Student Global Software Development Teams. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc799549/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

26. Santiteerakul, Wasana. Trajectory Analytics.

Degree: 2015, University of North Texas

 The numerous surveillance videos recorded by a single stationary wide-angle-view camera persuade the use of a moving point as the representation of each small-size object… (more)

Subjects/Keywords: trajectory analytics; action recognition; activity recognition; Pattern recognition systems.; Machine learning.; Human activity recognition.; Electronic surveillance.

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APA (6th Edition):

Santiteerakul, W. (2015). Trajectory Analytics. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc801885/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Santiteerakul, Wasana. “Trajectory Analytics.” 2015. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc801885/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Santiteerakul, Wasana. “Trajectory Analytics.” 2015. Web. 22 Oct 2019.

Vancouver:

Santiteerakul W. Trajectory Analytics. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc801885/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Santiteerakul W. Trajectory Analytics. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc801885/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

27. Zhang, Ziming. Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems.

Degree: 2015, University of North Texas

 In order to run and manage resource-intensive high-performance applications, large-scale computing and storage platforms have been evolving rapidly in various domains in both academia and… (more)

Subjects/Keywords: cloud computing; high performance computing; power management; Computer systems  – Power supply.; Cloud computing.; Electronic data processing  – Distributed processing.; High performance computing.

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APA (6th Edition):

Zhang, Z. (2015). Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804939/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Ziming. “Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems.” 2015. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc804939/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Ziming. “Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems.” 2015. Web. 22 Oct 2019.

Vancouver:

Zhang Z. Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804939/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Z. Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804939/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

28. Dahal, Ashok. Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos.

Degree: 2015, University of North Texas

 There are several types of disorders that affect our colon’s ability to function properly such as colorectal cancer, ulcerative colitis, diverticulitis, irritable bowel syndrome and… (more)

Subjects/Keywords: ulcerative colitis; image texture; clustering feature extraction; colonoscopy; Ulcerative colitis  – Diagnosis.; Colonoscopy.; Video recording in medicine.; Image processing  – Digital techniques.

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

APA (6th Edition):

Dahal, A. (2015). Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc822759/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dahal, Ashok. “Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos.” 2015. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc822759/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dahal, Ashok. “Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos.” 2015. Web. 22 Oct 2019.

Vancouver:

Dahal A. Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc822759/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dahal A. Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc822759/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

29. Florescu, Corina Andreea. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.

Degree: 2019, University of North Texas

 Current unsupervised approaches for keyphrase extraction compute a single importance score for each candidate word by considering the number and quality of its associated words… (more)

Subjects/Keywords: keyphrase extraction; graph representation learning; feature learning

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

APA (6th Edition):

Florescu, C. A. (2019). SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1538730/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Florescu, Corina Andreea. “SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.” 2019. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538730/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Florescu, Corina Andreea. “SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.” 2019. Web. 22 Oct 2019.

Vancouver:

Florescu CA. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. [Internet] [Thesis]. University of North Texas; 2019. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538730/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Florescu CA. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538730/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

30. Chartree, Jedsada. Monitoring Dengue Outbreaks Using Online Data.

Degree: 2014, University of North Texas

 Internet technology has affected humans' lives in many disciplines. The search engine is one of the most important Internet tools in that it allows people… (more)

Subjects/Keywords: Dengue prediction; online data; machine learning; Dengue  – Epidemiology  – Statistical methods.; Epidemiology  – Mathematical models.; Epidemiology  – Data processing.; Public health surveillance.

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

APA (6th Edition):

Chartree, J. (2014). Monitoring Dengue Outbreaks Using Online Data. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc500167/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chartree, Jedsada. “Monitoring Dengue Outbreaks Using Online Data.” 2014. Thesis, University of North Texas. Accessed October 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc500167/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chartree, Jedsada. “Monitoring Dengue Outbreaks Using Online Data.” 2014. Web. 22 Oct 2019.

Vancouver:

Chartree J. Monitoring Dengue Outbreaks Using Online Data. [Internet] [Thesis]. University of North Texas; 2014. [cited 2019 Oct 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc500167/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chartree J. Monitoring Dengue Outbreaks Using Online Data. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc500167/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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