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You searched for +publisher:"University of Arkansas" +contributor:("Merwin Beavers"). Showing records 1 – 4 of 4 total matches.

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University of Arkansas

1. Shukla, Manisha. Theatrical Genre Prediction Using Social Network Metrics.

Degree: MS, 2018, University of Arkansas

  With the emergence of digitization, large text corpora are now available online that provide humanities scholars an opportunity to perform literary analysis leveraging the… (more)

Subjects/Keywords: Data Analysis; Data Visualization; Information Retrieval; Shakespeare Social Network; Social Network Analysis; Text Mining; Graphics and Human Computer Interfaces; Numerical Analysis and Scientific Computing; Social Media

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APA (6th Edition):

Shukla, M. (2018). Theatrical Genre Prediction Using Social Network Metrics. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2920

Chicago Manual of Style (16th Edition):

Shukla, Manisha. “Theatrical Genre Prediction Using Social Network Metrics.” 2018. Masters Thesis, University of Arkansas. Accessed October 30, 2020. https://scholarworks.uark.edu/etd/2920.

MLA Handbook (7th Edition):

Shukla, Manisha. “Theatrical Genre Prediction Using Social Network Metrics.” 2018. Web. 30 Oct 2020.

Vancouver:

Shukla M. Theatrical Genre Prediction Using Social Network Metrics. [Internet] [Masters thesis]. University of Arkansas; 2018. [cited 2020 Oct 30]. Available from: https://scholarworks.uark.edu/etd/2920.

Council of Science Editors:

Shukla M. Theatrical Genre Prediction Using Social Network Metrics. [Masters Thesis]. University of Arkansas; 2018. Available from: https://scholarworks.uark.edu/etd/2920


University of Arkansas

2. Fuentes Tello, Victor. Enforcing database security on cloud using a trusted third party based model.

Degree: MS, 2017, University of Arkansas

  Cloud computing offers a considerable number of advantages to clients and organizations that use several capabilities to store sensitive data, interact with applications, or… (more)

Subjects/Keywords: Cloud computing; Database; Security; Information Security

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APA (6th Edition):

Fuentes Tello, V. (2017). Enforcing database security on cloud using a trusted third party based model. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2438

Chicago Manual of Style (16th Edition):

Fuentes Tello, Victor. “Enforcing database security on cloud using a trusted third party based model.” 2017. Masters Thesis, University of Arkansas. Accessed October 30, 2020. https://scholarworks.uark.edu/etd/2438.

MLA Handbook (7th Edition):

Fuentes Tello, Victor. “Enforcing database security on cloud using a trusted third party based model.” 2017. Web. 30 Oct 2020.

Vancouver:

Fuentes Tello V. Enforcing database security on cloud using a trusted third party based model. [Internet] [Masters thesis]. University of Arkansas; 2017. [cited 2020 Oct 30]. Available from: https://scholarworks.uark.edu/etd/2438.

Council of Science Editors:

Fuentes Tello V. Enforcing database security on cloud using a trusted third party based model. [Masters Thesis]. University of Arkansas; 2017. Available from: https://scholarworks.uark.edu/etd/2438


University of Arkansas

3. Omran, Osama M. Data Partitioning Methods to Process Queries on Encrypted Databases on the Cloud.

Degree: PhD, 2016, University of Arkansas

  Many features and advantages have been brought to organizations and computer users by Cloud computing. It allows different service providers to distribute many applications… (more)

Subjects/Keywords: Applied sciences; Cloud; Database security; Databases; Encrypted; Partitioning; Queries; Databases and Information Systems

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APA (6th Edition):

Omran, O. M. (2016). Data Partitioning Methods to Process Queries on Encrypted Databases on the Cloud. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/1580

Chicago Manual of Style (16th Edition):

Omran, Osama M. “Data Partitioning Methods to Process Queries on Encrypted Databases on the Cloud.” 2016. Doctoral Dissertation, University of Arkansas. Accessed October 30, 2020. https://scholarworks.uark.edu/etd/1580.

MLA Handbook (7th Edition):

Omran, Osama M. “Data Partitioning Methods to Process Queries on Encrypted Databases on the Cloud.” 2016. Web. 30 Oct 2020.

Vancouver:

Omran OM. Data Partitioning Methods to Process Queries on Encrypted Databases on the Cloud. [Internet] [Doctoral dissertation]. University of Arkansas; 2016. [cited 2020 Oct 30]. Available from: https://scholarworks.uark.edu/etd/1580.

Council of Science Editors:

Omran OM. Data Partitioning Methods to Process Queries on Encrypted Databases on the Cloud. [Doctoral Dissertation]. University of Arkansas; 2016. Available from: https://scholarworks.uark.edu/etd/1580


University of Arkansas

4. Holliday, James B. Improving Asynchronous Advantage Actor Critic with a More Intelligent Exploration Strategy.

Degree: MS, 2018, University of Arkansas

  We propose a simple and efficient modification to the Asynchronous Advantage Actor Critic (A3C) algorithm that improves training. In 2016 Google’s DeepMind set a… (more)

Subjects/Keywords: Deep Learning; Exploration Strategy; Machine Learning; Reinforcement Learning; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces

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

APA (6th Edition):

Holliday, J. B. (2018). Improving Asynchronous Advantage Actor Critic with a More Intelligent Exploration Strategy. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2689

Chicago Manual of Style (16th Edition):

Holliday, James B. “Improving Asynchronous Advantage Actor Critic with a More Intelligent Exploration Strategy.” 2018. Masters Thesis, University of Arkansas. Accessed October 30, 2020. https://scholarworks.uark.edu/etd/2689.

MLA Handbook (7th Edition):

Holliday, James B. “Improving Asynchronous Advantage Actor Critic with a More Intelligent Exploration Strategy.” 2018. Web. 30 Oct 2020.

Vancouver:

Holliday JB. Improving Asynchronous Advantage Actor Critic with a More Intelligent Exploration Strategy. [Internet] [Masters thesis]. University of Arkansas; 2018. [cited 2020 Oct 30]. Available from: https://scholarworks.uark.edu/etd/2689.

Council of Science Editors:

Holliday JB. Improving Asynchronous Advantage Actor Critic with a More Intelligent Exploration Strategy. [Masters Thesis]. University of Arkansas; 2018. Available from: https://scholarworks.uark.edu/etd/2689

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