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You searched for +publisher:"North Dakota State University" +contributor:("Ludwig, Simone"). Showing records 1 – 4 of 4 total matches.

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1. Bauer, Kevin Kaatz. Immune Network Optimization of Composite SaaS for Cloud Computing.

Degree: MS, Computer Science, 2015, North Dakota State University

 Serving the needs efficiently for a wide gamut of cloud users is a challenge. One way to address this challenge is to decompose SaaS (Software… (more)

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APA (6th Edition):

Bauer, K. K. (2015). Immune Network Optimization of Composite SaaS for Cloud Computing. (Masters Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/27709

Chicago Manual of Style (16th Edition):

Bauer, Kevin Kaatz. “Immune Network Optimization of Composite SaaS for Cloud Computing.” 2015. Masters Thesis, North Dakota State University. Accessed August 20, 2018. http://hdl.handle.net/10365/27709.

MLA Handbook (7th Edition):

Bauer, Kevin Kaatz. “Immune Network Optimization of Composite SaaS for Cloud Computing.” 2015. Web. 20 Aug 2018.

Vancouver:

Bauer KK. Immune Network Optimization of Composite SaaS for Cloud Computing. [Internet] [Masters thesis]. North Dakota State University; 2015. [cited 2018 Aug 20]. Available from: http://hdl.handle.net/10365/27709.

Council of Science Editors:

Bauer KK. Immune Network Optimization of Composite SaaS for Cloud Computing. [Masters Thesis]. North Dakota State University; 2015. Available from: http://hdl.handle.net/10365/27709

2. Xia, Gongyi. Particle Swarm Optimization and Particle Filter Applied to Object Tracking.

Degree: MS, Computer Science, 2016, North Dakota State University

 The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade… (more)

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

APA (6th Edition):

Xia, G. (2016). Particle Swarm Optimization and Particle Filter Applied to Object Tracking. (Masters Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/27610

Chicago Manual of Style (16th Edition):

Xia, Gongyi. “Particle Swarm Optimization and Particle Filter Applied to Object Tracking.” 2016. Masters Thesis, North Dakota State University. Accessed August 20, 2018. http://hdl.handle.net/10365/27610.

MLA Handbook (7th Edition):

Xia, Gongyi. “Particle Swarm Optimization and Particle Filter Applied to Object Tracking.” 2016. Web. 20 Aug 2018.

Vancouver:

Xia G. Particle Swarm Optimization and Particle Filter Applied to Object Tracking. [Internet] [Masters thesis]. North Dakota State University; 2016. [cited 2018 Aug 20]. Available from: http://hdl.handle.net/10365/27610.

Council of Science Editors:

Xia G. Particle Swarm Optimization and Particle Filter Applied to Object Tracking. [Masters Thesis]. North Dakota State University; 2016. Available from: http://hdl.handle.net/10365/27610

3. Hall, Jared Coleman. A Linguistic Model for Improving Sentiment Analysis Systems.

Degree: MS, Computer Science, 2014, North Dakota State University

 The value of automated sentiment analysis systems is increasing with the vast amount of consumer-generated content, allowing researchers to analyze the information readily available on… (more)

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APA (6th Edition):

Hall, J. C. (2014). A Linguistic Model for Improving Sentiment Analysis Systems. (Masters Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/27534

Chicago Manual of Style (16th Edition):

Hall, Jared Coleman. “A Linguistic Model for Improving Sentiment Analysis Systems.” 2014. Masters Thesis, North Dakota State University. Accessed August 20, 2018. http://hdl.handle.net/10365/27534.

MLA Handbook (7th Edition):

Hall, Jared Coleman. “A Linguistic Model for Improving Sentiment Analysis Systems.” 2014. Web. 20 Aug 2018.

Vancouver:

Hall JC. A Linguistic Model for Improving Sentiment Analysis Systems. [Internet] [Masters thesis]. North Dakota State University; 2014. [cited 2018 Aug 20]. Available from: http://hdl.handle.net/10365/27534.

Council of Science Editors:

Hall JC. A Linguistic Model for Improving Sentiment Analysis Systems. [Masters Thesis]. North Dakota State University; 2014. Available from: http://hdl.handle.net/10365/27534

4. Miryala, Goutham. In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark.

Degree: MS, Computer Science, 2018, North Dakota State University

 Glowworm Swarm Optimization (GSO) is one of the optimization techniques, which need to be parallelized in order to evaluate large problems with high-dimensional function spaces.… (more)

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

APA (6th Edition):

Miryala, G. (2018). In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark. (Masters Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/28755

Chicago Manual of Style (16th Edition):

Miryala, Goutham. “In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark.” 2018. Masters Thesis, North Dakota State University. Accessed August 20, 2018. http://hdl.handle.net/10365/28755.

MLA Handbook (7th Edition):

Miryala, Goutham. “In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark.” 2018. Web. 20 Aug 2018.

Vancouver:

Miryala G. In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark. [Internet] [Masters thesis]. North Dakota State University; 2018. [cited 2018 Aug 20]. Available from: http://hdl.handle.net/10365/28755.

Council of Science Editors:

Miryala G. In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark. [Masters Thesis]. North Dakota State University; 2018. Available from: http://hdl.handle.net/10365/28755

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