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You searched for +publisher:"California State University – Sacramento" +contributor:("Gordon, V. Scott"). Showing records 1 – 30 of 43 total matches.

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California State University – Sacramento

1. Srinivasan, Suganya. Movie box: an Android application using REST interface.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 There are lot of movies available to watch and nowadays people prefer to watch movies at home rather than going to theatres. They don???t want… (more)

Subjects/Keywords: Android Application; Android; App; Movies; REST interface

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APA (6th Edition):

Srinivasan, S. (2017). Movie box: an Android application using REST interface. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198428

Chicago Manual of Style (16th Edition):

Srinivasan, Suganya. “Movie box: an Android application using REST interface.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/198428.

MLA Handbook (7th Edition):

Srinivasan, Suganya. “Movie box: an Android application using REST interface.” 2017. Web. 30 Mar 2020.

Vancouver:

Srinivasan S. Movie box: an Android application using REST interface. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/198428.

Council of Science Editors:

Srinivasan S. Movie box: an Android application using REST interface. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198428


California State University – Sacramento

2. Balasubramanian, Sinduja. Text mining on Amazon reviews to extract feature based feedback.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 Analyzing the feedback on a product or a service helps to improve the quality of the product or service. That way, reviews from online shopping… (more)

Subjects/Keywords: NLP; Text mining; Feature extraction

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APA (6th Edition):

Balasubramanian, S. (2017). Text mining on Amazon reviews to extract feature based feedback. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198628

Chicago Manual of Style (16th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/198628.

MLA Handbook (7th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Web. 30 Mar 2020.

Vancouver:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/198628.

Council of Science Editors:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198628


California State University – Sacramento

3. Rawlani, Bhagyashree. Distracted driver detection using Capsule Network.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 Convolutional neural networks are generally assumed to be the best neural networks for classifying images. In November 2017, Geoffrey Hinton et al. introduced another neural… (more)

Subjects/Keywords: Convolutional neural network

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APA (6th Edition):

Rawlani, B. (2019). Distracted driver detection using Capsule Network. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207659

Chicago Manual of Style (16th Edition):

Rawlani, Bhagyashree. “Distracted driver detection using Capsule Network.” 2019. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/207659.

MLA Handbook (7th Edition):

Rawlani, Bhagyashree. “Distracted driver detection using Capsule Network.” 2019. Web. 30 Mar 2020.

Vancouver:

Rawlani B. Distracted driver detection using Capsule Network. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/207659.

Council of Science Editors:

Rawlani B. Distracted driver detection using Capsule Network. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207659


California State University – Sacramento

4. Norton, Ryan Joseph. Self-splitting neural network visualization tool enhancements.

Degree: MS, Computer Science, 2011, California State University – Sacramento

 Self-splitting neural networks provide a new method for solving complex problems by using multiple neural networks in a divide-and-conquer approach to reduce the domain space… (more)

Subjects/Keywords: Backpropagation; Artificial intelligence; Training algorithms; Genetic algorithm; Particle swarm optimization; Neighbor annealing; Fitness functions

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APA (6th Edition):

Norton, R. J. (2011). Self-splitting neural network visualization tool enhancements. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/939

Chicago Manual of Style (16th Edition):

Norton, Ryan Joseph. “Self-splitting neural network visualization tool enhancements.” 2011. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/939.

MLA Handbook (7th Edition):

Norton, Ryan Joseph. “Self-splitting neural network visualization tool enhancements.” 2011. Web. 30 Mar 2020.

Vancouver:

Norton RJ. Self-splitting neural network visualization tool enhancements. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/939.

Council of Science Editors:

Norton RJ. Self-splitting neural network visualization tool enhancements. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/939


California State University – Sacramento

5. Lavender, Brian Eugene. Implementation of genetic algorithms into a network intrusion detection system (netGA), and integration into nProbe.

Degree: MS, Computer Science, 2011, California State University – Sacramento

 netGA takes networking theory and artificial intelligence theory and combines them together to form an attack detection system. netGA is an implementation of the method… (more)

Subjects/Keywords: Network security; Artificial intelligence; Soft computing; Wire tap; Network monitoring; Evolving rules

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APA (6th Edition):

Lavender, B. E. (2011). Implementation of genetic algorithms into a network intrusion detection system (netGA), and integration into nProbe. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/973

Chicago Manual of Style (16th Edition):

Lavender, Brian Eugene. “Implementation of genetic algorithms into a network intrusion detection system (netGA), and integration into nProbe.” 2011. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/973.

MLA Handbook (7th Edition):

Lavender, Brian Eugene. “Implementation of genetic algorithms into a network intrusion detection system (netGA), and integration into nProbe.” 2011. Web. 30 Mar 2020.

Vancouver:

Lavender BE. Implementation of genetic algorithms into a network intrusion detection system (netGA), and integration into nProbe. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/973.

Council of Science Editors:

Lavender BE. Implementation of genetic algorithms into a network intrusion detection system (netGA), and integration into nProbe. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/973


California State University – Sacramento

6. Shekar, Sripriya. Content analysis of participant ITEST journals to reveal underlying motivational patterns.

Degree: MS, Computer Science, 2015, California State University – Sacramento

 The ITEST program was funded by the National Science Foundation, and run by California State University, Sacramento???s Department of Computer Science and College of Education… (more)

Subjects/Keywords: TSP; MST; ITEST; Motivation; Qualitative content analysis; Qualitative research

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APA (6th Edition):

Shekar, S. (2015). Content analysis of participant ITEST journals to reveal underlying motivational patterns. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/158485

Chicago Manual of Style (16th Edition):

Shekar, Sripriya. “Content analysis of participant ITEST journals to reveal underlying motivational patterns.” 2015. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/158485.

MLA Handbook (7th Edition):

Shekar, Sripriya. “Content analysis of participant ITEST journals to reveal underlying motivational patterns.” 2015. Web. 30 Mar 2020.

Vancouver:

Shekar S. Content analysis of participant ITEST journals to reveal underlying motivational patterns. [Internet] [Masters thesis]. California State University – Sacramento; 2015. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/158485.

Council of Science Editors:

Shekar S. Content analysis of participant ITEST journals to reveal underlying motivational patterns. [Masters Thesis]. California State University – Sacramento; 2015. Available from: http://hdl.handle.net/10211.3/158485


California State University – Sacramento

7. Hatwalne, Priyanka J. SQLiDetect: a web based intrusion detection system for SQL injections.

Degree: MS, Computer Science, 2012, California State University – Sacramento

 Databases often store personal information such as addresses, phone numbers, bank account details, and social security numbers. SQL injection attacks can cause serious threat to… (more)

Subjects/Keywords: Signature based pattern matching; Database security; Web based attacks

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APA (6th Edition):

Hatwalne, P. J. (2012). SQLiDetect: a web based intrusion detection system for SQL injections. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1527

Chicago Manual of Style (16th Edition):

Hatwalne, Priyanka J. “SQLiDetect: a web based intrusion detection system for SQL injections.” 2012. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/1527.

MLA Handbook (7th Edition):

Hatwalne, Priyanka J. “SQLiDetect: a web based intrusion detection system for SQL injections.” 2012. Web. 30 Mar 2020.

Vancouver:

Hatwalne PJ. SQLiDetect: a web based intrusion detection system for SQL injections. [Internet] [Masters thesis]. California State University – Sacramento; 2012. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/1527.

Council of Science Editors:

Hatwalne PJ. SQLiDetect: a web based intrusion detection system for SQL injections. [Masters Thesis]. California State University – Sacramento; 2012. Available from: http://hdl.handle.net/10211.9/1527


California State University – Sacramento

8. Hajiyani, Nadir. Web based technology solutions for not-for-profits.

Degree: MS, Computer Science, 2012, California State University – Sacramento

 The project is related to ???not-for-profits.??? These organizations as their name suggest do things for-purpose and don???t have very extensive financial budget for their entire… (more)

Subjects/Keywords: Php; Facebook; Mobile; Drupal; Website; Nonprofit

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APA (6th Edition):

Hajiyani, N. (2012). Web based technology solutions for not-for-profits. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1777

Chicago Manual of Style (16th Edition):

Hajiyani, Nadir. “Web based technology solutions for not-for-profits.” 2012. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/1777.

MLA Handbook (7th Edition):

Hajiyani, Nadir. “Web based technology solutions for not-for-profits.” 2012. Web. 30 Mar 2020.

Vancouver:

Hajiyani N. Web based technology solutions for not-for-profits. [Internet] [Masters thesis]. California State University – Sacramento; 2012. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/1777.

Council of Science Editors:

Hajiyani N. Web based technology solutions for not-for-profits. [Masters Thesis]. California State University – Sacramento; 2012. Available from: http://hdl.handle.net/10211.9/1777


California State University – Sacramento

9. Pilla, Aditya Hiran. Career plan tracker.

Degree: MS, Computer Science, 2014, California State University – Sacramento

 The prime objective of the Career Plan Tracker is to build a career plan that recommends career tasks given in the career-counseling framework called "The… (more)

Subjects/Keywords: Career help; Job search help; Career plan help

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APA (6th Edition):

Pilla, A. H. (2014). Career plan tracker. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/122025

Chicago Manual of Style (16th Edition):

Pilla, Aditya Hiran. “Career plan tracker.” 2014. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/122025.

MLA Handbook (7th Edition):

Pilla, Aditya Hiran. “Career plan tracker.” 2014. Web. 30 Mar 2020.

Vancouver:

Pilla AH. Career plan tracker. [Internet] [Masters thesis]. California State University – Sacramento; 2014. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/122025.

Council of Science Editors:

Pilla AH. Career plan tracker. [Masters Thesis]. California State University – Sacramento; 2014. Available from: http://hdl.handle.net/10211.3/122025


California State University – Sacramento

10. Gajera, Shirish. An improved LightsOut app for the Android.

Degree: MS, Computer Science, 2014, California State University – Sacramento

 LightsOut is an electronic game that takes place on a grid of lights, in which pressing any of the lights will toggle it and its… (more)

Subjects/Keywords: Android; Lights out game; Algorithm

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APA (6th Edition):

Gajera, S. (2014). An improved LightsOut app for the Android. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/131275

Chicago Manual of Style (16th Edition):

Gajera, Shirish. “An improved LightsOut app for the Android.” 2014. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/131275.

MLA Handbook (7th Edition):

Gajera, Shirish. “An improved LightsOut app for the Android.” 2014. Web. 30 Mar 2020.

Vancouver:

Gajera S. An improved LightsOut app for the Android. [Internet] [Masters thesis]. California State University – Sacramento; 2014. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/131275.

Council of Science Editors:

Gajera S. An improved LightsOut app for the Android. [Masters Thesis]. California State University – Sacramento; 2014. Available from: http://hdl.handle.net/10211.3/131275


California State University – Sacramento

11. Keeling, John Glenn. SpeKculator: genetic algorithm chord progression generator.

Degree: MS, Computer Science, 2016, California State University – Sacramento

 Creative blocks in music, or perhaps any artful endeavor, are often due to imaginary limitations unknowingly imposed by the artist. Education or training in an… (more)

Subjects/Keywords: Artificial intelligence; Chord progression; Music generation; Genetic algorigthm

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APA (6th Edition):

Keeling, J. G. (2016). SpeKculator: genetic algorithm chord progression generator. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/182666

Chicago Manual of Style (16th Edition):

Keeling, John Glenn. “SpeKculator: genetic algorithm chord progression generator.” 2016. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/182666.

MLA Handbook (7th Edition):

Keeling, John Glenn. “SpeKculator: genetic algorithm chord progression generator.” 2016. Web. 30 Mar 2020.

Vancouver:

Keeling JG. SpeKculator: genetic algorithm chord progression generator. [Internet] [Masters thesis]. California State University – Sacramento; 2016. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/182666.

Council of Science Editors:

Keeling JG. SpeKculator: genetic algorithm chord progression generator. [Masters Thesis]. California State University – Sacramento; 2016. Available from: http://hdl.handle.net/10211.3/182666


California State University – Sacramento

12. Khosla, Charu. YouTube data analysis using Hadoop.

Degree: MS, Computer Science, 2016, California State University – Sacramento

 Analysis of structured data has seen tremendous success in the past. However, analysis of large scale unstructured data in the form of video format remains… (more)

Subjects/Keywords: Hadoop; Data analysis; Hive

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APA (6th Edition):

Khosla, C. (2016). YouTube data analysis using Hadoop. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/182685

Chicago Manual of Style (16th Edition):

Khosla, Charu. “YouTube data analysis using Hadoop.” 2016. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/182685.

MLA Handbook (7th Edition):

Khosla, Charu. “YouTube data analysis using Hadoop.” 2016. Web. 30 Mar 2020.

Vancouver:

Khosla C. YouTube data analysis using Hadoop. [Internet] [Masters thesis]. California State University – Sacramento; 2016. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/182685.

Council of Science Editors:

Khosla C. YouTube data analysis using Hadoop. [Masters Thesis]. California State University – Sacramento; 2016. Available from: http://hdl.handle.net/10211.3/182685


California State University – Sacramento

13. Rivera Albaladejo, Raymond L. RAGE: A programmable shader-based OpenGL renderer and scene graph.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 The college teaches a game development course at the undergraduate level (CSc-165). Computer game development is a complex and time-consuming process that requires combined knowledge… (more)

Subjects/Keywords: Graphics; Java; Framework; Computer games; Game engine

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APA (6th Edition):

Rivera Albaladejo, R. L. (2017). RAGE: A programmable shader-based OpenGL renderer and scene graph. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/190561

Chicago Manual of Style (16th Edition):

Rivera Albaladejo, Raymond L. “RAGE: A programmable shader-based OpenGL renderer and scene graph.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/190561.

MLA Handbook (7th Edition):

Rivera Albaladejo, Raymond L. “RAGE: A programmable shader-based OpenGL renderer and scene graph.” 2017. Web. 30 Mar 2020.

Vancouver:

Rivera Albaladejo RL. RAGE: A programmable shader-based OpenGL renderer and scene graph. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/190561.

Council of Science Editors:

Rivera Albaladejo RL. RAGE: A programmable shader-based OpenGL renderer and scene graph. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/190561


California State University – Sacramento

14. Gundlupet Venkatesh, Priya. Enhancing image inpainting with GANs.

Degree: MS, Computer Science, 2020, California State University – Sacramento

 Retrieving missing data from a given piece of information has always been a challenging task. ???Inpainting??? is one of the techniques which helps us to… (more)

Subjects/Keywords: Image processing – Digital techniques; Mathematical optimization; Algorithms; Pattern recognition systems

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APA (6th Edition):

Gundlupet Venkatesh, P. (2020). Enhancing image inpainting with GANs. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/214928

Chicago Manual of Style (16th Edition):

Gundlupet Venkatesh, Priya. “Enhancing image inpainting with GANs.” 2020. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/214928.

MLA Handbook (7th Edition):

Gundlupet Venkatesh, Priya. “Enhancing image inpainting with GANs.” 2020. Web. 30 Mar 2020.

Vancouver:

Gundlupet Venkatesh P. Enhancing image inpainting with GANs. [Internet] [Masters thesis]. California State University – Sacramento; 2020. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/214928.

Council of Science Editors:

Gundlupet Venkatesh P. Enhancing image inpainting with GANs. [Masters Thesis]. California State University – Sacramento; 2020. Available from: http://hdl.handle.net/10211.3/214928

15. Tinney, Jonathan. Virtual reality on the web : a Javascript game engine for students with a focus on VB.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 Consumer grade virtual reality (VR) headsets have led to a rise in the popularity of VR development. Game engines such as Unity and Unreal Engine… (more)

Subjects/Keywords: VR development; Virtual reality; WebVR; Mobile Virtual Reality Engine; MVRE

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APA (6th Edition):

Tinney, J. (2017). Virtual reality on the web : a Javascript game engine for students with a focus on VB. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/193561

Chicago Manual of Style (16th Edition):

Tinney, Jonathan. “Virtual reality on the web : a Javascript game engine for students with a focus on VB.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/193561.

MLA Handbook (7th Edition):

Tinney, Jonathan. “Virtual reality on the web : a Javascript game engine for students with a focus on VB.” 2017. Web. 30 Mar 2020.

Vancouver:

Tinney J. Virtual reality on the web : a Javascript game engine for students with a focus on VB. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/193561.

Council of Science Editors:

Tinney J. Virtual reality on the web : a Javascript game engine for students with a focus on VB. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/193561

16. Miller, Kurt Daniel. Memory mechanism for argument component link prediction.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 Argument Mining is a relatively new field that aims to detect and classify arguments and their relations from input text. Link prediction is a subtask… (more)

Subjects/Keywords: Memory network; Neural attention; Argument mining; Natural language processing; Recurrent neural network

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APA (6th Edition):

Miller, K. D. (2017). Memory mechanism for argument component link prediction. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198278

Chicago Manual of Style (16th Edition):

Miller, Kurt Daniel. “Memory mechanism for argument component link prediction.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/198278.

MLA Handbook (7th Edition):

Miller, Kurt Daniel. “Memory mechanism for argument component link prediction.” 2017. Web. 30 Mar 2020.

Vancouver:

Miller KD. Memory mechanism for argument component link prediction. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/198278.

Council of Science Editors:

Miller KD. Memory mechanism for argument component link prediction. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198278

17. Makwana, Mrunal GovindBhai. EEG sensor data analysis for mental health assessment.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 A very interesting field of Computer Science called Artificial Intelligence is concerned with the study and design of intelligent machines and applications. Advanced AI technologies… (more)

Subjects/Keywords: Machine learning; Deep learning; TensorFlow; Neural networks; Brain waves

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APA (6th Edition):

Makwana, M. G. (2017). EEG sensor data analysis for mental health assessment. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198814

Chicago Manual of Style (16th Edition):

Makwana, Mrunal GovindBhai. “EEG sensor data analysis for mental health assessment.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/198814.

MLA Handbook (7th Edition):

Makwana, Mrunal GovindBhai. “EEG sensor data analysis for mental health assessment.” 2017. Web. 30 Mar 2020.

Vancouver:

Makwana MG. EEG sensor data analysis for mental health assessment. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/198814.

Council of Science Editors:

Makwana MG. EEG sensor data analysis for mental health assessment. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198814

18. Megerssa, Iyoel. Generative adversarial network for palliative care.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 In this body of work, we look at implementing the Generative Adversarial Network to a palliative care dataset. The implementation requires that our model, which… (more)

Subjects/Keywords: Predict 6-month prognosis; Palliative Care sampling; GANs with small data set; GANs with outliers

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APA (6th Edition):

Megerssa, I. (2017). Generative adversarial network for palliative care. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198813

Chicago Manual of Style (16th Edition):

Megerssa, Iyoel. “Generative adversarial network for palliative care.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/198813.

MLA Handbook (7th Edition):

Megerssa, Iyoel. “Generative adversarial network for palliative care.” 2017. Web. 30 Mar 2020.

Vancouver:

Megerssa I. Generative adversarial network for palliative care. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/198813.

Council of Science Editors:

Megerssa I. Generative adversarial network for palliative care. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198813

19. Babhulkar, Aditya. Self-driving car using udacity's car simulator environment and trained by deep neural networks.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 Self-driving cars has become a trending subject with a significant improvement in the technologies in the last decade. The project purpose is to train a… (more)

Subjects/Keywords: Convolutional neural network; Self-driving car; Artificial intelligence

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APA (6th Edition):

Babhulkar, A. (2019). Self-driving car using udacity's car simulator environment and trained by deep neural networks. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207785

Chicago Manual of Style (16th Edition):

Babhulkar, Aditya. “Self-driving car using udacity's car simulator environment and trained by deep neural networks.” 2019. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/207785.

MLA Handbook (7th Edition):

Babhulkar, Aditya. “Self-driving car using udacity's car simulator environment and trained by deep neural networks.” 2019. Web. 30 Mar 2020.

Vancouver:

Babhulkar A. Self-driving car using udacity's car simulator environment and trained by deep neural networks. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/207785.

Council of Science Editors:

Babhulkar A. Self-driving car using udacity's car simulator environment and trained by deep neural networks. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207785

20. Vellore Ramesh, Ramya. Pandemic disease monitoring tool using Twitter data.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 For any statistical study, from predicting the winner of an election, to governing the health statistics, a huge amount of real time data is necessary.… (more)

Subjects/Keywords: Visualization of geo-tagged tweets

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APA (6th Edition):

Vellore Ramesh, R. (2019). Pandemic disease monitoring tool using Twitter data. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207680

Chicago Manual of Style (16th Edition):

Vellore Ramesh, Ramya. “Pandemic disease monitoring tool using Twitter data.” 2019. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/207680.

MLA Handbook (7th Edition):

Vellore Ramesh, Ramya. “Pandemic disease monitoring tool using Twitter data.” 2019. Web. 30 Mar 2020.

Vancouver:

Vellore Ramesh R. Pandemic disease monitoring tool using Twitter data. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/207680.

Council of Science Editors:

Vellore Ramesh R. Pandemic disease monitoring tool using Twitter data. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207680

21. Tiptur Ravindra, Thrilok. Simulation of water using opengl/jogl.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 3D graphics programming is generally done using libraries such as OpenGL, DirectX and Vulkan. Some effects such as lighting, reflection have well defined approaches, however… (more)

Subjects/Keywords: Simulation; Water simulation; Opengl; Jogl

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APA (6th Edition):

Tiptur Ravindra, T. (2019). Simulation of water using opengl/jogl. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207679

Chicago Manual of Style (16th Edition):

Tiptur Ravindra, Thrilok. “Simulation of water using opengl/jogl.” 2019. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/207679.

MLA Handbook (7th Edition):

Tiptur Ravindra, Thrilok. “Simulation of water using opengl/jogl.” 2019. Web. 30 Mar 2020.

Vancouver:

Tiptur Ravindra T. Simulation of water using opengl/jogl. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/207679.

Council of Science Editors:

Tiptur Ravindra T. Simulation of water using opengl/jogl. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207679

22. Devarakonda, Divya Sindhuri. Time series analysis and forecasting of crime data.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 USA has been grappling with crime for decades now and had made significant improvement. However, crime remains to be one of the core societal problems.… (more)

Subjects/Keywords: ARIMA; Forecasting; Data visualization; Time series; Facebook prophet; Holt's winter; Crime analysis; Chicago crime; Los Angeles crime

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APA (6th Edition):

Devarakonda, D. S. (2019). Time series analysis and forecasting of crime data. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/210265

Chicago Manual of Style (16th Edition):

Devarakonda, Divya Sindhuri. “Time series analysis and forecasting of crime data.” 2019. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/210265.

MLA Handbook (7th Edition):

Devarakonda, Divya Sindhuri. “Time series analysis and forecasting of crime data.” 2019. Web. 30 Mar 2020.

Vancouver:

Devarakonda DS. Time series analysis and forecasting of crime data. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/210265.

Council of Science Editors:

Devarakonda DS. Time series analysis and forecasting of crime data. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/210265

23. Utkhede, Prachi. Framework for intelligent homes.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 The Internet of Things refers to the connection of everyday objects to the Internet. This allows humans to monitor and interact with these objects from… (more)

Subjects/Keywords: Intelligent temperature sensor; Intelligent homes; Smart homes

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APA (6th Edition):

Utkhede, P. (2017). Framework for intelligent homes. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198811

Chicago Manual of Style (16th Edition):

Utkhede, Prachi. “Framework for intelligent homes.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/198811.

MLA Handbook (7th Edition):

Utkhede, Prachi. “Framework for intelligent homes.” 2017. Web. 30 Mar 2020.

Vancouver:

Utkhede P. Framework for intelligent homes. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/198811.

Council of Science Editors:

Utkhede P. Framework for intelligent homes. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198811

24. Deo, Ameya Shrikant. Neural network for intelligent system monitoring.

Degree: MS, Computer Science, 2012, California State University – Sacramento

 This project focuses on introducing intelligent algorithm in a commercially available monitoring solution. Typical monitoring software does not have any capabilities of generating intelligent alerts.… (more)

Subjects/Keywords: BMC Patrol; Neural network; Offline training; Monitoring system

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APA (6th Edition):

Deo, A. S. (2012). Neural network for intelligent system monitoring. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1758

Chicago Manual of Style (16th Edition):

Deo, Ameya Shrikant. “Neural network for intelligent system monitoring.” 2012. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/1758.

MLA Handbook (7th Edition):

Deo, Ameya Shrikant. “Neural network for intelligent system monitoring.” 2012. Web. 30 Mar 2020.

Vancouver:

Deo AS. Neural network for intelligent system monitoring. [Internet] [Masters thesis]. California State University – Sacramento; 2012. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/1758.

Council of Science Editors:

Deo AS. Neural network for intelligent system monitoring. [Masters Thesis]. California State University – Sacramento; 2012. Available from: http://hdl.handle.net/10211.9/1758

25. Nakate, Alok Bhaskar. Neural networks non-linear scaling.

Degree: MS, Computer Science, 2011, California State University – Sacramento

 Training a neural network with backpropagation algorithm is a systematic process to model a set of given data. This training process involves, among other things,… (more)

Subjects/Keywords: Artificial intelligence; Artificial neural networks; Backpropagation algorithm

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APA (6th Edition):

Nakate, A. B. (2011). Neural networks non-linear scaling. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1191

Chicago Manual of Style (16th Edition):

Nakate, Alok Bhaskar. “Neural networks non-linear scaling.” 2011. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/1191.

MLA Handbook (7th Edition):

Nakate, Alok Bhaskar. “Neural networks non-linear scaling.” 2011. Web. 30 Mar 2020.

Vancouver:

Nakate AB. Neural networks non-linear scaling. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/1191.

Council of Science Editors:

Nakate AB. Neural networks non-linear scaling. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/1191

26. Deo, Sudarshan. Deep learning with convolutional neural networks for image recognition: step-by-step process from preparation to generalization.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 This project collects several experiments in Deep Learning Convolutional Neural Network for Image predictions. It makes use of Google TensorFlow and TFlearn Deep Learning libraries… (more)

Subjects/Keywords: Neural Networks; Classification; Neural networks; Convolutional neural network

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APA (6th Edition):

Deo, S. (2019). Deep learning with convolutional neural networks for image recognition: step-by-step process from preparation to generalization. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207763

Chicago Manual of Style (16th Edition):

Deo, Sudarshan. “Deep learning with convolutional neural networks for image recognition: step-by-step process from preparation to generalization.” 2019. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/207763.

MLA Handbook (7th Edition):

Deo, Sudarshan. “Deep learning with convolutional neural networks for image recognition: step-by-step process from preparation to generalization.” 2019. Web. 30 Mar 2020.

Vancouver:

Deo S. Deep learning with convolutional neural networks for image recognition: step-by-step process from preparation to generalization. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/207763.

Council of Science Editors:

Deo S. Deep learning with convolutional neural networks for image recognition: step-by-step process from preparation to generalization. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207763

27. Patel, Meetkumar. WEBOICE: voice enabled web browser.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 The goal of this project was to code and assemble a web browser with voice recognition abilities. The project aims to simplify the usage of… (more)

Subjects/Keywords: Voice web browser; Browser with voice capabilities; No-hands browser

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APA (6th Edition):

Patel, M. (2017). WEBOICE: voice enabled web browser. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/190768

Chicago Manual of Style (16th Edition):

Patel, Meetkumar. “WEBOICE: voice enabled web browser.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/190768.

MLA Handbook (7th Edition):

Patel, Meetkumar. “WEBOICE: voice enabled web browser.” 2017. Web. 30 Mar 2020.

Vancouver:

Patel M. WEBOICE: voice enabled web browser. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/190768.

Council of Science Editors:

Patel M. WEBOICE: voice enabled web browser. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/190768

28. Thirupathy, Diveena. CommunityShop: a web application for a social shopping experience.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 Online shopping is the shortest distance between two states: full wallet to an empty wallet. The advent of online shopping and the joy of getting… (more)

Subjects/Keywords: Web application development; UI based application; Real-time chat feature

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APA (6th Edition):

Thirupathy, D. (2017). CommunityShop: a web application for a social shopping experience. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/190708

Chicago Manual of Style (16th Edition):

Thirupathy, Diveena. “CommunityShop: a web application for a social shopping experience.” 2017. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.3/190708.

MLA Handbook (7th Edition):

Thirupathy, Diveena. “CommunityShop: a web application for a social shopping experience.” 2017. Web. 30 Mar 2020.

Vancouver:

Thirupathy D. CommunityShop: a web application for a social shopping experience. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.3/190708.

Council of Science Editors:

Thirupathy D. CommunityShop: a web application for a social shopping experience. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/190708

29. Krizo, Phaedra. A summer high school computer game programming curriculum and an assessment of its effects on student motivation.

Degree: MS, Computer Science, 2012, California State University – Sacramento

 In the U.S. there are not enough students pursuing STEM degrees to keep up with workforce demand. Additionally, there is a low number of minorities… (more)

Subjects/Keywords: STEM; K-12 computer science education; Computer games programming course; Minorities and women in STEM; Teaching scheme

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APA (6th Edition):

Krizo, P. (2012). A summer high school computer game programming curriculum and an assessment of its effects on student motivation. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1481

Chicago Manual of Style (16th Edition):

Krizo, Phaedra. “A summer high school computer game programming curriculum and an assessment of its effects on student motivation.” 2012. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/1481.

MLA Handbook (7th Edition):

Krizo, Phaedra. “A summer high school computer game programming curriculum and an assessment of its effects on student motivation.” 2012. Web. 30 Mar 2020.

Vancouver:

Krizo P. A summer high school computer game programming curriculum and an assessment of its effects on student motivation. [Internet] [Masters thesis]. California State University – Sacramento; 2012. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/1481.

Council of Science Editors:

Krizo P. A summer high school computer game programming curriculum and an assessment of its effects on student motivation. [Masters Thesis]. California State University – Sacramento; 2012. Available from: http://hdl.handle.net/10211.9/1481

30. Johnson, Brad. Terrain-based memetic algorithms visualization.

Degree: MS, Computer Science, 2012, California State University – Sacramento

 In the examination and evolution of genetic algorithms, advancement occurred when utilizing a terrain to model a population of individuals and their associated parameters. This… (more)

Subjects/Keywords: VisMTBMA; Memetic algorithm; Genetic algorithm

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APA (6th Edition):

Johnson, B. (2012). Terrain-based memetic algorithms visualization. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1563

Chicago Manual of Style (16th Edition):

Johnson, Brad. “Terrain-based memetic algorithms visualization.” 2012. Masters Thesis, California State University – Sacramento. Accessed March 30, 2020. http://hdl.handle.net/10211.9/1563.

MLA Handbook (7th Edition):

Johnson, Brad. “Terrain-based memetic algorithms visualization.” 2012. Web. 30 Mar 2020.

Vancouver:

Johnson B. Terrain-based memetic algorithms visualization. [Internet] [Masters thesis]. California State University – Sacramento; 2012. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10211.9/1563.

Council of Science Editors:

Johnson B. Terrain-based memetic algorithms visualization. [Masters Thesis]. California State University – Sacramento; 2012. Available from: http://hdl.handle.net/10211.9/1563

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