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You searched for +publisher:"University of North Texas" +contributor:("Fu, Song"). Showing records 1 – 30 of 42 total matches.

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University of North Texas

1. Dinayadura, Nirosha. An Efficient Approach for Dengue Mitigation: A Computational Framework.

Degree: 2019, University of North Texas

 Dengue mitigation is a major research area among scientist who are working towards an effective management of the dengue epidemic. An effective dengue mitigation requires… (more)

Subjects/Keywords: Dengue Mitigation; Computational Framework; Regression Ensemble; Resource Allocation; Dengue Prediction

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

APA (6th Edition):

Dinayadura, N. (2019). An Efficient Approach for Dengue Mitigation: A Computational Framework. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1505177/

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):

Dinayadura, Nirosha. “An Efficient Approach for Dengue Mitigation: A Computational Framework.” 2019. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1505177/.

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

MLA Handbook (7th Edition):

Dinayadura, Nirosha. “An Efficient Approach for Dengue Mitigation: A Computational Framework.” 2019. Web. 08 Apr 2020.

Vancouver:

Dinayadura N. An Efficient Approach for Dengue Mitigation: A Computational Framework. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505177/.

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

Council of Science Editors:

Dinayadura N. An Efficient Approach for Dengue Mitigation: A Computational Framework. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505177/

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


University of North Texas

2. Scrbak, Marko. Methodical Evaluation of Processing-in-Memory Alternatives.

Degree: 2019, University of North Texas

 In this work, I characterized a series of potential application kernels using a set of architectural and non-architectural metrics, and performed a comparison of four… (more)

Subjects/Keywords: Processing-in-Memory; PIM; Computer Architecture

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APA (6th Edition):

Scrbak, M. (2019). Methodical Evaluation of Processing-in-Memory Alternatives. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1505199/

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):

Scrbak, Marko. “Methodical Evaluation of Processing-in-Memory Alternatives.” 2019. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1505199/.

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

MLA Handbook (7th Edition):

Scrbak, Marko. “Methodical Evaluation of Processing-in-Memory Alternatives.” 2019. Web. 08 Apr 2020.

Vancouver:

Scrbak M. Methodical Evaluation of Processing-in-Memory Alternatives. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505199/.

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

Council of Science Editors:

Scrbak M. Methodical Evaluation of Processing-in-Memory Alternatives. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505199/

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


University of North Texas

3. Bhalotiya, Anuj Arun. Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures.

Degree: 2017, University of North Texas

 In recent years, brain computer interfaces (BCIs) have gained popularity in non-medical domains such as the gaming, entertainment, personal health, and marketing industries. A growing… (more)

Subjects/Keywords: Brain computer interface (BCI); Brainwave Signal; Electroencephalography (EEG); Privacy; Mobile Application; Computer Science

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APA (6th Edition):

Bhalotiya, A. A. (2017). Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc984122/

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):

Bhalotiya, Anuj Arun. “Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures.” 2017. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc984122/.

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

MLA Handbook (7th Edition):

Bhalotiya, Anuj Arun. “Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures.” 2017. Web. 08 Apr 2020.

Vancouver:

Bhalotiya AA. Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures. [Internet] [Thesis]. University of North Texas; 2017. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc984122/.

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

Council of Science Editors:

Bhalotiya AA. Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc984122/

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


University of North Texas

4. Sawant, Uttara. Evaluation of Call Mobility on Network Productivity in Long Term Evolution Advanced (LTE-A) Femtocells.

Degree: 2017, University of North Texas

 The demand for higher data rates for indoor and cell-edge users led to evolution of small cells. LTE femtocells, one of the small cell categories,… (more)

Subjects/Keywords: wireless networks; mobility management; network optimization; LTE-Advanced; femtocells; fractional frequency reuse

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APA (6th Edition):

Sawant, U. (2017). Evaluation of Call Mobility on Network Productivity in Long Term Evolution Advanced (LTE-A) Femtocells. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1062893/

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):

Sawant, Uttara. “Evaluation of Call Mobility on Network Productivity in Long Term Evolution Advanced (LTE-A) Femtocells.” 2017. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1062893/.

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

MLA Handbook (7th Edition):

Sawant, Uttara. “Evaluation of Call Mobility on Network Productivity in Long Term Evolution Advanced (LTE-A) Femtocells.” 2017. Web. 08 Apr 2020.

Vancouver:

Sawant U. Evaluation of Call Mobility on Network Productivity in Long Term Evolution Advanced (LTE-A) Femtocells. [Internet] [Thesis]. University of North Texas; 2017. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1062893/.

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

Council of Science Editors:

Sawant U. Evaluation of Call Mobility on Network Productivity in Long Term Evolution Advanced (LTE-A) Femtocells. [Thesis]. University of North Texas; 2017. Available from: https://digital.library.unt.edu/ark:/67531/metadc1062893/

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


University of North Texas

5. Kong, Longbo. Accurate Joint Detection from Depth Videos towards Pose Analysis.

Degree: 2018, University of North Texas

 Joint detection is vital for characterizing human pose and serves as a foundation for a wide range of computer vision applications such as physical training,… (more)

Subjects/Keywords: Joint Detection; Pose Detection; Feature Points Extraction; Human Body Segmentation

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APA (6th Edition):

Kong, L. (2018). Accurate Joint Detection from Depth Videos towards Pose Analysis. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157524/

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):

Kong, Longbo. “Accurate Joint Detection from Depth Videos towards Pose Analysis.” 2018. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1157524/.

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

MLA Handbook (7th Edition):

Kong, Longbo. “Accurate Joint Detection from Depth Videos towards Pose Analysis.” 2018. Web. 08 Apr 2020.

Vancouver:

Kong L. Accurate Joint Detection from Depth Videos towards Pose Analysis. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157524/.

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

Council of Science Editors:

Kong L. Accurate Joint Detection from Depth Videos towards Pose Analysis. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157524/

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


University of North Texas

6. Khan Pour, Hamed. Computational Approaches for Analyzing Social Support in Online Health Communities.

Degree: 2018, University of North Texas

 Online health communities (OHCs) have become a medium for patients to share their personal experiences and interact with peers on topics related to a disease,… (more)

Subjects/Keywords: Online Health Communities; Social Support; Machine Learning; Deep Learning; Natural Language Processing

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APA (6th Edition):

Khan Pour, H. (2018). Computational Approaches for Analyzing Social Support in Online Health Communities. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157594/

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):

Khan Pour, Hamed. “Computational Approaches for Analyzing Social Support in Online Health Communities.” 2018. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1157594/.

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

MLA Handbook (7th Edition):

Khan Pour, Hamed. “Computational Approaches for Analyzing Social Support in Online Health Communities.” 2018. Web. 08 Apr 2020.

Vancouver:

Khan Pour H. Computational Approaches for Analyzing Social Support in Online Health Communities. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157594/.

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

Council of Science Editors:

Khan Pour H. Computational Approaches for Analyzing Social Support in Online Health Communities. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157594/

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


University of North Texas

7. Garitselov, Oleg. Metamodeling-based Fast Optimization of Nanoscale Ams-socs.

Degree: 2012, University of North Texas

 Modern consumer electronic systems are mostly based on analog and digital circuits and are designed as analog/mixed-signal systems on chip (AMS-SoCs). the integration of analog… (more)

Subjects/Keywords: AMS; metamodeling; optimization; SoC; CMOS; design flow

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APA (6th Edition):

Garitselov, O. (2012). Metamodeling-based Fast Optimization of Nanoscale Ams-socs. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc115081/

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):

Garitselov, Oleg. “Metamodeling-based Fast Optimization of Nanoscale Ams-socs.” 2012. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc115081/.

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

MLA Handbook (7th Edition):

Garitselov, Oleg. “Metamodeling-based Fast Optimization of Nanoscale Ams-socs.” 2012. Web. 08 Apr 2020.

Vancouver:

Garitselov O. Metamodeling-based Fast Optimization of Nanoscale Ams-socs. [Internet] [Thesis]. University of North Texas; 2012. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc115081/.

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

Council of Science Editors:

Garitselov O. Metamodeling-based Fast Optimization of Nanoscale Ams-socs. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc115081/

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


University of North Texas

8. 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 April 08, 2020. 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. 08 Apr 2020.

Vancouver:

Shen C. The Design Of A Benchmark For Geo-stream Management Systems. [Internet] [Thesis]. University of North Texas; 2011. [cited 2020 Apr 08]. 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

9. Liu, Siyuan. Learning from small data set for object recognition in mobile platforms.

Degree: 2016, University of North Texas

 Did you stand at a door with a bunch of keys and tried to find the right one to unlock the door? Did you hold… (more)

Subjects/Keywords: object recognition; machine learning; mobile platforms; small data set; feature extraction

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

APA (6th Edition):

Liu, S. (2016). Learning from small data set for object recognition in mobile platforms. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc849633/

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, Siyuan. “Learning from small data set for object recognition in mobile platforms.” 2016. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc849633/.

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

MLA Handbook (7th Edition):

Liu, Siyuan. “Learning from small data set for object recognition in mobile platforms.” 2016. Web. 08 Apr 2020.

Vancouver:

Liu S. Learning from small data set for object recognition in mobile platforms. [Internet] [Thesis]. University of North Texas; 2016. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc849633/.

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

Council of Science Editors:

Liu S. Learning from small data set for object recognition in mobile platforms. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc849633/

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


University of North Texas

10. Alotaibi, Sultan Radhi. Radio Resource Control Approaches for LTE-Advanced Femtocell Networks.

Degree: 2018, University of North Texas

 The architecture of mobile networks has dramatically evolved in order to fulfill the growing demands on wireless services and data. The radio resources, which are… (more)

Subjects/Keywords: LTE; LTE-ADVANCED; femtocell; macrocell; interference

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APA (6th Edition):

Alotaibi, S. R. (2018). Radio Resource Control Approaches for LTE-Advanced Femtocell Networks. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1248385/

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):

Alotaibi, Sultan Radhi. “Radio Resource Control Approaches for LTE-Advanced Femtocell Networks.” 2018. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1248385/.

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

MLA Handbook (7th Edition):

Alotaibi, Sultan Radhi. “Radio Resource Control Approaches for LTE-Advanced Femtocell Networks.” 2018. Web. 08 Apr 2020.

Vancouver:

Alotaibi SR. Radio Resource Control Approaches for LTE-Advanced Femtocell Networks. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248385/.

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

Council of Science Editors:

Alotaibi SR. Radio Resource Control Approaches for LTE-Advanced Femtocell Networks. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248385/

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


University of North Texas

11. Mahjoub, Youssif. Development and Integration of a Low-Cost Occupancy Monitoring System.

Degree: 2018, University of North Texas

 The world is getting busier and more crowded each year. Due to this fact resources such as public transport, available energy, and usable space are… (more)

Subjects/Keywords: Probe Request; Raspberry Pi; Scapy; Kismet; Monitor mode; Occupancy; Monitoring; IoT; Internet of Things; Mobile Device; Engineering, Electronics and Electrical; Computer Science

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APA (6th Edition):

Mahjoub, Y. (2018). Development and Integration of a Low-Cost Occupancy Monitoring System. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1404589/

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):

Mahjoub, Youssif. “Development and Integration of a Low-Cost Occupancy Monitoring System.” 2018. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1404589/.

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

MLA Handbook (7th Edition):

Mahjoub, Youssif. “Development and Integration of a Low-Cost Occupancy Monitoring System.” 2018. Web. 08 Apr 2020.

Vancouver:

Mahjoub Y. Development and Integration of a Low-Cost Occupancy Monitoring System. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404589/.

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

Council of Science Editors:

Mahjoub Y. Development and Integration of a Low-Cost Occupancy Monitoring System. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404589/

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


University of North Texas

12. Kamongi, Patrick. Ontology Based Security Threat Assessment and Mitigation for Cloud Systems.

Degree: 2018, University of North Texas

 A malicious actor often relies on security vulnerabilities of IT systems to launch a cyber attack. Most cloud services are supported by an orchestration of… (more)

Subjects/Keywords: Ontology; Cybersecurity; Cloud Computing; Vulnerability; Ranking; Threat; Risk; Prediction; Assessment; Mitigation; Systems

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APA (6th Edition):

Kamongi, P. (2018). Ontology Based Security Threat Assessment and Mitigation for Cloud Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1404576/

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):

Kamongi, Patrick. “Ontology Based Security Threat Assessment and Mitigation for Cloud Systems.” 2018. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1404576/.

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

MLA Handbook (7th Edition):

Kamongi, Patrick. “Ontology Based Security Threat Assessment and Mitigation for Cloud Systems.” 2018. Web. 08 Apr 2020.

Vancouver:

Kamongi P. Ontology Based Security Threat Assessment and Mitigation for Cloud Systems. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404576/.

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

Council of Science Editors:

Kamongi P. Ontology Based Security Threat Assessment and Mitigation for Cloud Systems. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404576/

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


University of North Texas

13. Onoriose, Ovie. Development of a Wireless Sensor Network System for Occupancy Monitoring.

Degree: 2018, University of North Texas

 The ways that people use libraries have changed drastically over the past few decades. Proliferation of computers and the internet have led to the purpose… (more)

Subjects/Keywords: Occupancy Monitoring; Wireless Sensor Network; Infrared Array Sensor

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APA (6th Edition):

Onoriose, O. (2018). Development of a Wireless Sensor Network System for Occupancy Monitoring. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1404547/

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):

Onoriose, Ovie. “Development of a Wireless Sensor Network System for Occupancy Monitoring.” 2018. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1404547/.

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

MLA Handbook (7th Edition):

Onoriose, Ovie. “Development of a Wireless Sensor Network System for Occupancy Monitoring.” 2018. Web. 08 Apr 2020.

Vancouver:

Onoriose O. Development of a Wireless Sensor Network System for Occupancy Monitoring. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404547/.

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

Council of Science Editors:

Onoriose O. Development of a Wireless Sensor Network System for Occupancy Monitoring. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404547/

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


University of North Texas

14. Abouelenien, Mohamed. Boosting for Learning From Imbalanced, Multiclass Data Sets.

Degree: 2013, University of North Texas

 In many real-world applications, it is common to have uneven number of examples among multiple classes. The data imbalance, however, usually complicates the learning process,… (more)

Subjects/Keywords: Boosting; multi-class classifications; stratified sampling; regularization parameter; imbalaced data sets

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APA (6th Edition):

Abouelenien, M. (2013). Boosting for Learning From Imbalanced, Multiclass Data Sets. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc407775/

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):

Abouelenien, Mohamed. “Boosting for Learning From Imbalanced, Multiclass Data Sets.” 2013. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc407775/.

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

MLA Handbook (7th Edition):

Abouelenien, Mohamed. “Boosting for Learning From Imbalanced, Multiclass Data Sets.” 2013. Web. 08 Apr 2020.

Vancouver:

Abouelenien M. Boosting for Learning From Imbalanced, Multiclass Data Sets. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc407775/.

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

Council of Science Editors:

Abouelenien M. Boosting for Learning From Imbalanced, Multiclass Data Sets. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc407775/

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


University of North Texas

15. Nwachukwu, Izuchukwu Udochi. Techniques for Improving Uniformity in Direct Mapped Caches.

Degree: 2011, University of North Texas

 Directly mapped caches are an attractive option for processor designers as they combine fast lookup times with reduced complexity and area. However, directly-mapped caches are… (more)

Subjects/Keywords: cache; memory; indexing

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APA (6th Edition):

Nwachukwu, I. U. (2011). Techniques for Improving Uniformity in Direct Mapped Caches. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc68025/

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):

Nwachukwu, Izuchukwu Udochi. “Techniques for Improving Uniformity in Direct Mapped Caches.” 2011. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc68025/.

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

MLA Handbook (7th Edition):

Nwachukwu, Izuchukwu Udochi. “Techniques for Improving Uniformity in Direct Mapped Caches.” 2011. Web. 08 Apr 2020.

Vancouver:

Nwachukwu IU. Techniques for Improving Uniformity in Direct Mapped Caches. [Internet] [Thesis]. University of North Texas; 2011. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc68025/.

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

Council of Science Editors:

Nwachukwu IU. Techniques for Improving Uniformity in Direct Mapped Caches. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc68025/

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


University of North Texas

16. 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 April 08, 2020. 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. 08 Apr 2020.

Vancouver:

Guan Q. Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems. [Internet] [Thesis]. University of North Texas; 2014. [cited 2020 Apr 08]. 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

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

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 April 08, 2020. 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. 08 Apr 2020.

Vancouver:

Venumuddala RR. Distributed Frameworks Towards Building an Open Data Architecture. [Internet] [Thesis]. University of North Texas; 2015. [cited 2020 Apr 08]. 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

18. Bristow, Kelly H. Freeform Cursive Handwriting Recognition Using a Clustered Neural Network.

Degree: 2015, University of North Texas

 Optical character recognition (OCR) software has advanced greatly in recent years. Machine-printed text can be scanned and converted to searchable text with word accuracy rates… (more)

Subjects/Keywords: Cursive handwriting recognition; neural network; OCR; Optical character recognition.; Neural networks (Computer science); Writing.

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APA (6th Edition):

Bristow, K. H. (2015). Freeform Cursive Handwriting Recognition Using a Clustered Neural Network. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804845/

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):

Bristow, Kelly H. “Freeform Cursive Handwriting Recognition Using a Clustered Neural Network.” 2015. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc804845/.

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

MLA Handbook (7th Edition):

Bristow, Kelly H. “Freeform Cursive Handwriting Recognition Using a Clustered Neural Network.” 2015. Web. 08 Apr 2020.

Vancouver:

Bristow KH. Freeform Cursive Handwriting Recognition Using a Clustered Neural Network. [Internet] [Thesis]. University of North Texas; 2015. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804845/.

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

Council of Science Editors:

Bristow KH. Freeform Cursive Handwriting Recognition Using a Clustered Neural Network. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804845/

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


University of North Texas

19. Balakchiev, Milko. Unique Channel Email System.

Degree: 2015, University of North Texas

 Email connects 85% of the world. This paper explores the pattern of information overload encountered by majority of email users and examine what steps key… (more)

Subjects/Keywords: e-mail; graymail; information overflow; Electronic mail systems.; Electronic mail messages  – Management.

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

APA (6th Edition):

Balakchiev, M. (2015). Unique Channel Email System. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804980/

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):

Balakchiev, Milko. “Unique Channel Email System.” 2015. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc804980/.

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

MLA Handbook (7th Edition):

Balakchiev, Milko. “Unique Channel Email System.” 2015. Web. 08 Apr 2020.

Vancouver:

Balakchiev M. Unique Channel Email System. [Internet] [Thesis]. University of North Texas; 2015. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804980/.

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

Council of Science Editors:

Balakchiev M. Unique Channel Email System. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804980/

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


University of North Texas

20. Mohapatra, Deepankar. Automatic Removal of Complex Shadows From Indoor Videos.

Degree: 2015, University of North Texas

 Shadows in indoor scenarios are usually characterized with multiple light sources that produce complex shadow patterns of a single object. Without removing shadow, the foreground… (more)

Subjects/Keywords: shadow removal; background subtraction; computer vision; Video recordings  – Data processing.; Motion pictures  – Editing  – Data processing.; Shades and shadows.

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APA (6th Edition):

Mohapatra, D. (2015). Automatic Removal of Complex Shadows From Indoor Videos. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804942/

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):

Mohapatra, Deepankar. “Automatic Removal of Complex Shadows From Indoor Videos.” 2015. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc804942/.

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

MLA Handbook (7th Edition):

Mohapatra, Deepankar. “Automatic Removal of Complex Shadows From Indoor Videos.” 2015. Web. 08 Apr 2020.

Vancouver:

Mohapatra D. Automatic Removal of Complex Shadows From Indoor Videos. [Internet] [Thesis]. University of North Texas; 2015. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804942/.

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

Council of Science Editors:

Mohapatra D. Automatic Removal of Complex Shadows From Indoor Videos. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804942/

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


University of North Texas

21. Ur-Rehman, Wasi. Maintaining Web Applications Integrity Running on RADIUM.

Degree: 2015, University of North Texas

 Computer security attacks take place due to the presence of vulnerabilities and bugs in software applications. Bugs and vulnerabilities are the result of weak software… (more)

Subjects/Keywords: Web application integrity; RADIUM; software bugs; daikon; Computer security.; Web applications  – Security measuers.; Computer networks  – Security measures.

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APA (6th Edition):

Ur-Rehman, W. (2015). Maintaining Web Applications Integrity Running on RADIUM. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804975/

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):

Ur-Rehman, Wasi. “Maintaining Web Applications Integrity Running on RADIUM.” 2015. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc804975/.

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

MLA Handbook (7th Edition):

Ur-Rehman, Wasi. “Maintaining Web Applications Integrity Running on RADIUM.” 2015. Web. 08 Apr 2020.

Vancouver:

Ur-Rehman W. Maintaining Web Applications Integrity Running on RADIUM. [Internet] [Thesis]. University of North Texas; 2015. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804975/.

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

Council of Science Editors:

Ur-Rehman W. Maintaining Web Applications Integrity Running on RADIUM. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804975/

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


University of North Texas

22. Pannu, Husanbir Singh. Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing.

Degree: 2012, University of North Texas

 Semi-supervised learning (SSL) is the most practical approach for classification among machine learning algorithms. It is similar to the humans way of learning and thus… (more)

Subjects/Keywords: Machine learning; anomaly detection; cloud computing

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APA (6th Edition):

Pannu, H. S. (2012). Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc177238/

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):

Pannu, Husanbir Singh. “Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing.” 2012. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc177238/.

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

MLA Handbook (7th Edition):

Pannu, Husanbir Singh. “Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing.” 2012. Web. 08 Apr 2020.

Vancouver:

Pannu HS. Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing. [Internet] [Thesis]. University of North Texas; 2012. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc177238/.

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

Council of Science Editors:

Pannu HS. Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc177238/

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


University of North Texas

23. Zheng, Geng. Layout-accurate Ultra-fast System-level Design Exploration Through Verilog-ams.

Degree: 2013, University of North Texas

 This research addresses problems in designing analog and mixed-signal (AMS) systems by bridging the gap between system-level and circuit-level simulation by making simulations fast like… (more)

Subjects/Keywords: OP-AMP; Verilog-AMS; design optimization; macromodel; metamodel; mixed-signal design; mixed-signal systems; system-level modeling; behavioral simulation; PLL; operational amplifier

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APA (6th Edition):

Zheng, G. (2013). Layout-accurate Ultra-fast System-level Design Exploration Through Verilog-ams. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc271923/

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):

Zheng, Geng. “Layout-accurate Ultra-fast System-level Design Exploration Through Verilog-ams.” 2013. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc271923/.

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

MLA Handbook (7th Edition):

Zheng, Geng. “Layout-accurate Ultra-fast System-level Design Exploration Through Verilog-ams.” 2013. Web. 08 Apr 2020.

Vancouver:

Zheng G. Layout-accurate Ultra-fast System-level Design Exploration Through Verilog-ams. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc271923/.

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

Council of Science Editors:

Zheng G. Layout-accurate Ultra-fast System-level Design Exploration Through Verilog-ams. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc271923/

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


University of North Texas

24. 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 April 08, 2020. 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. 08 Apr 2020.

Vancouver:

Kumara MJ. Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Apr 08]. 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

25. 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 April 08, 2020. 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. 08 Apr 2020.

Vancouver:

Nawarathna RD. Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Apr 08]. 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

26. 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 April 08, 2020. 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. 08 Apr 2020.

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 2020 Apr 08]. 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

27. Li, Zongze. Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems.

Degree: 2019, University of North Texas

 High-performance computing (HPC) systems continue growing in both scale and complexity. These large-scale, heterogeneous systems generate tens of millions of log messages every day. Effective… (more)

Subjects/Keywords: HPC; System log; Anomaly Detection; Sequence Mining; Deep Learning; RNN; FPGA

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APA (6th Edition):

Li, Z. (2019). Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1609172/

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):

Li, Zongze. “Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems.” 2019. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1609172/.

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

MLA Handbook (7th Edition):

Li, Zongze. “Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems.” 2019. Web. 08 Apr 2020.

Vancouver:

Li Z. Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609172/.

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

Council of Science Editors:

Li Z. Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609172/

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


University of North Texas

28. Alotaibi, Sultan. 3GPP Long Term Evolution LTE Scheduling.

Degree: 2013, University of North Texas

 Future generation cellular networks are expected to deliver an omnipresent broadband access network for an endlessly increasing number of subscribers. Long term Evolution (LTE) represents… (more)

Subjects/Keywords: LTE; long term evolution; 3GPP; wireless networks; broadband access network

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

APA (6th Edition):

Alotaibi, S. (2013). 3GPP Long Term Evolution LTE Scheduling. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc490046/

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):

Alotaibi, Sultan. “3GPP Long Term Evolution LTE Scheduling.” 2013. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc490046/.

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

MLA Handbook (7th Edition):

Alotaibi, Sultan. “3GPP Long Term Evolution LTE Scheduling.” 2013. Web. 08 Apr 2020.

Vancouver:

Alotaibi S. 3GPP Long Term Evolution LTE Scheduling. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc490046/.

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

Council of Science Editors:

Alotaibi S. 3GPP Long Term Evolution LTE Scheduling. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc490046/

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


University of North Texas

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

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 April 08, 2020. 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. 08 Apr 2020.

Vancouver:

Xie J. Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty. [Internet] [Thesis]. University of North Texas; 2016. [cited 2020 Apr 08]. 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

30. Kotikela, Srujan D. Secure and Trusted Execution for Virtualization Workloads.

Degree: 2018, University of North Texas

 In this dissertation, we have analyzed various security and trustworthy solutions for modern computing systems and proposed a framework that will provide holistic security and… (more)

Subjects/Keywords: virtualization; security; trusted; computing; ontology; vulnerabilities; Computer Science

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

APA (6th Edition):

Kotikela, S. D. (2018). Secure and Trusted Execution for Virtualization Workloads. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1248514/

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):

Kotikela, Srujan D. “Secure and Trusted Execution for Virtualization Workloads.” 2018. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1248514/.

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

MLA Handbook (7th Edition):

Kotikela, Srujan D. “Secure and Trusted Execution for Virtualization Workloads.” 2018. Web. 08 Apr 2020.

Vancouver:

Kotikela SD. Secure and Trusted Execution for Virtualization Workloads. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248514/.

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

Council of Science Editors:

Kotikela SD. Secure and Trusted Execution for Virtualization Workloads. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1248514/

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

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