Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Arkansas" +contributor:("Susan Gauch"). Showing records 1 – 17 of 17 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Arkansas

1. Sutherland, Reid. Stay-At-Home Motor Rehabilitation: Optimizing Spatiotemporal Learning on Low-Cost Capacitive Sensor Arrays.

Degree: MS, 2020, University of Arkansas

  Repeated, consistent, and precise gesture performance is a key part of recovery for stroke and other motor-impaired patients. Close professional supervision to these exercises… (more)

Subjects/Keywords: 3D convolution; Capacitive sensing; Convolutional long short-term memory; Deep learning; Gesture recognition; Motor rehabilitation; Wearable sensors; Prediction-encoding; Context-aware classification models; Gesture recognition; Computer and Systems Architecture; Graphics and Human Computer Interfaces; Systems Architecture

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sutherland, R. (2020). Stay-At-Home Motor Rehabilitation: Optimizing Spatiotemporal Learning on Low-Cost Capacitive Sensor Arrays. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/3686

Chicago Manual of Style (16th Edition):

Sutherland, Reid. “Stay-At-Home Motor Rehabilitation: Optimizing Spatiotemporal Learning on Low-Cost Capacitive Sensor Arrays.” 2020. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/3686.

MLA Handbook (7th Edition):

Sutherland, Reid. “Stay-At-Home Motor Rehabilitation: Optimizing Spatiotemporal Learning on Low-Cost Capacitive Sensor Arrays.” 2020. Web. 29 Oct 2020.

Vancouver:

Sutherland R. Stay-At-Home Motor Rehabilitation: Optimizing Spatiotemporal Learning on Low-Cost Capacitive Sensor Arrays. [Internet] [Masters thesis]. University of Arkansas; 2020. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/3686.

Council of Science Editors:

Sutherland R. Stay-At-Home Motor Rehabilitation: Optimizing Spatiotemporal Learning on Low-Cost Capacitive Sensor Arrays. [Masters Thesis]. University of Arkansas; 2020. Available from: https://scholarworks.uark.edu/etd/3686


University of Arkansas

2. Almakdi, Sultan Ahmed A. Secure and Efficient Models for Retrieving Data from Encrypted Databases in Cloud.

Degree: PhD, 2020, University of Arkansas

  Recently, database users have begun to use cloud database services to outsource their databases. The reason for this is the high computation speed and… (more)

Subjects/Keywords: Cloud Databases; Cloud Security; Database Security; Encrypted Databases; Outsourced Databases; Query Processing; Databases and Information Systems; Information Security

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Almakdi, S. A. A. (2020). Secure and Efficient Models for Retrieving Data from Encrypted Databases in Cloud. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/3578

Chicago Manual of Style (16th Edition):

Almakdi, Sultan Ahmed A. “Secure and Efficient Models for Retrieving Data from Encrypted Databases in Cloud.” 2020. Doctoral Dissertation, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/3578.

MLA Handbook (7th Edition):

Almakdi, Sultan Ahmed A. “Secure and Efficient Models for Retrieving Data from Encrypted Databases in Cloud.” 2020. Web. 29 Oct 2020.

Vancouver:

Almakdi SAA. Secure and Efficient Models for Retrieving Data from Encrypted Databases in Cloud. [Internet] [Doctoral dissertation]. University of Arkansas; 2020. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/3578.

Council of Science Editors:

Almakdi SAA. Secure and Efficient Models for Retrieving Data from Encrypted Databases in Cloud. [Doctoral Dissertation]. University of Arkansas; 2020. Available from: https://scholarworks.uark.edu/etd/3578


University of Arkansas

3. Chiariglione, Marion Pauline. Shakespeare in the Eighteenth Century: Algorithm for Quotation Identification.

Degree: MS, 2020, University of Arkansas

  Quoting a borrowed excerpt of text within another literary work was infrequently done prior to the beginning of the eighteenth century. However, quoting other… (more)

Subjects/Keywords: Edit Distance; Information Retrieval; Quote Identification; String matching; Numerical Analysis and Scientific Computing; Theory and Algorithms

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chiariglione, M. P. (2020). Shakespeare in the Eighteenth Century: Algorithm for Quotation Identification. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/3580

Chicago Manual of Style (16th Edition):

Chiariglione, Marion Pauline. “Shakespeare in the Eighteenth Century: Algorithm for Quotation Identification.” 2020. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/3580.

MLA Handbook (7th Edition):

Chiariglione, Marion Pauline. “Shakespeare in the Eighteenth Century: Algorithm for Quotation Identification.” 2020. Web. 29 Oct 2020.

Vancouver:

Chiariglione MP. Shakespeare in the Eighteenth Century: Algorithm for Quotation Identification. [Internet] [Masters thesis]. University of Arkansas; 2020. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/3580.

Council of Science Editors:

Chiariglione MP. Shakespeare in the Eighteenth Century: Algorithm for Quotation Identification. [Masters Thesis]. University of Arkansas; 2020. Available from: https://scholarworks.uark.edu/etd/3580


University of Arkansas

4. Li, Ang. Privacy-Preserving Photo Taking and Accessing for Mobile Phones.

Degree: PhD, 2018, University of Arkansas

  Today, we are living in environments that are full of cameras embedded in devices such as smart phones and wearables. These mobile devices and… (more)

Subjects/Keywords: Mobile Phone; Photo; Privacy; Information Security

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, A. (2018). Privacy-Preserving Photo Taking and Accessing for Mobile Phones. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2915

Chicago Manual of Style (16th Edition):

Li, Ang. “Privacy-Preserving Photo Taking and Accessing for Mobile Phones.” 2018. Doctoral Dissertation, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/2915.

MLA Handbook (7th Edition):

Li, Ang. “Privacy-Preserving Photo Taking and Accessing for Mobile Phones.” 2018. Web. 29 Oct 2020.

Vancouver:

Li A. Privacy-Preserving Photo Taking and Accessing for Mobile Phones. [Internet] [Doctoral dissertation]. University of Arkansas; 2018. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/2915.

Council of Science Editors:

Li A. Privacy-Preserving Photo Taking and Accessing for Mobile Phones. [Doctoral Dissertation]. University of Arkansas; 2018. Available from: https://scholarworks.uark.edu/etd/2915


University of Arkansas

5. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 29, 2020. https://scholarworks.uark.edu/etd/2920.

MLA Handbook (7th Edition):

Shukla, Manisha. “Theatrical Genre Prediction Using Social Network Metrics.” 2018. Web. 29 Oct 2020.

Vancouver:

Shukla M. Theatrical Genre Prediction Using Social Network Metrics. [Internet] [Masters thesis]. University of Arkansas; 2018. [cited 2020 Oct 29]. 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

6. Bipasha, Tarana Tasmin. Extracting Social Network from Literary Prose.

Degree: MS, 2019, University of Arkansas

  This thesis develops an approach to extract social networks from literary prose, namely, Jane Austen’s published novels from eighteenth- and nineteenth- century. Dialogue interaction… (more)

Subjects/Keywords: Graph Matching; Graph Similarity; NLP; Social network; Social network analysis; Databases and Information Systems; Digital Communications and Networking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bipasha, T. T. (2019). Extracting Social Network from Literary Prose. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/3415

Chicago Manual of Style (16th Edition):

Bipasha, Tarana Tasmin. “Extracting Social Network from Literary Prose.” 2019. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/3415.

MLA Handbook (7th Edition):

Bipasha, Tarana Tasmin. “Extracting Social Network from Literary Prose.” 2019. Web. 29 Oct 2020.

Vancouver:

Bipasha TT. Extracting Social Network from Literary Prose. [Internet] [Masters thesis]. University of Arkansas; 2019. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/3415.

Council of Science Editors:

Bipasha TT. Extracting Social Network from Literary Prose. [Masters Thesis]. University of Arkansas; 2019. Available from: https://scholarworks.uark.edu/etd/3415


University of Arkansas

7. Labille, Kevin. Sentiment Analysis, Quantification, and Shift Detection.

Degree: PhD, 2019, University of Arkansas

  This dissertation focuses on event detection within streams of Tweets based on sentiment quantification. Sentiment quantification extends sentiment analysis, the analysis of the sentiment… (more)

Subjects/Keywords: Opinion Shift Detection; Semantic Orientation; Sentiment Analysis; Sentiment Lexicons; Sentiment Quantification; Sentiment Shift Detection; Text Mining; Twitter; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Labille, K. (2019). Sentiment Analysis, Quantification, and Shift Detection. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/3457

Chicago Manual of Style (16th Edition):

Labille, Kevin. “Sentiment Analysis, Quantification, and Shift Detection.” 2019. Doctoral Dissertation, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/3457.

MLA Handbook (7th Edition):

Labille, Kevin. “Sentiment Analysis, Quantification, and Shift Detection.” 2019. Web. 29 Oct 2020.

Vancouver:

Labille K. Sentiment Analysis, Quantification, and Shift Detection. [Internet] [Doctoral dissertation]. University of Arkansas; 2019. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/3457.

Council of Science Editors:

Labille K. Sentiment Analysis, Quantification, and Shift Detection. [Doctoral Dissertation]. University of Arkansas; 2019. Available from: https://scholarworks.uark.edu/etd/3457


University of Arkansas

8. Bailey, Casey Dylan. Overcoming Roadblocks in Introducing Virtual World Technology to High Schools.

Degree: MS, 2014, University of Arkansas

  The EAST (Environmental And Spatial Technology) Initiative is a non-profit educational organization that provides students in over two hundred schools in eight states with… (more)

Subjects/Keywords: Environmental Education; Other Computer Sciences; Other Education; Spatial Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bailey, C. D. (2014). Overcoming Roadblocks in Introducing Virtual World Technology to High Schools. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2135

Chicago Manual of Style (16th Edition):

Bailey, Casey Dylan. “Overcoming Roadblocks in Introducing Virtual World Technology to High Schools.” 2014. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/2135.

MLA Handbook (7th Edition):

Bailey, Casey Dylan. “Overcoming Roadblocks in Introducing Virtual World Technology to High Schools.” 2014. Web. 29 Oct 2020.

Vancouver:

Bailey CD. Overcoming Roadblocks in Introducing Virtual World Technology to High Schools. [Internet] [Masters thesis]. University of Arkansas; 2014. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/2135.

Council of Science Editors:

Bailey CD. Overcoming Roadblocks in Introducing Virtual World Technology to High Schools. [Masters Thesis]. University of Arkansas; 2014. Available from: https://scholarworks.uark.edu/etd/2135


University of Arkansas

9. Jonnalagedda, Satya Srinivasa Nirmal. Personalized News Recommender using Twitter.

Degree: MS, 2013, University of Arkansas

  Online news reading has become a widely popular way to read news articles from news sources around the globe. With the enormous amount of… (more)

Subjects/Keywords: Applied sciences; Graphics and Human Computer Interfaces; Social Media

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jonnalagedda, S. S. N. (2013). Personalized News Recommender using Twitter. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/796

Chicago Manual of Style (16th Edition):

Jonnalagedda, Satya Srinivasa Nirmal. “Personalized News Recommender using Twitter.” 2013. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/796.

MLA Handbook (7th Edition):

Jonnalagedda, Satya Srinivasa Nirmal. “Personalized News Recommender using Twitter.” 2013. Web. 29 Oct 2020.

Vancouver:

Jonnalagedda SSN. Personalized News Recommender using Twitter. [Internet] [Masters thesis]. University of Arkansas; 2013. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/796.

Council of Science Editors:

Jonnalagedda SSN. Personalized News Recommender using Twitter. [Masters Thesis]. University of Arkansas; 2013. Available from: https://scholarworks.uark.edu/etd/796


University of Arkansas

10. Alfarhood, Sultan Dawood. Traveltant: Social Interaction Based Personalized Recommendation System.

Degree: MS, 2013, University of Arkansas

  Trip planning is a time consuming task that most people do before going to any destination. Traveltant is an intelligent system that analyzes a… (more)

Subjects/Keywords: Applied sciences; Information retreival; Interaction; Personalization; Recommendation; Travel; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Alfarhood, S. D. (2013). Traveltant: Social Interaction Based Personalized Recommendation System. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/805

Chicago Manual of Style (16th Edition):

Alfarhood, Sultan Dawood. “Traveltant: Social Interaction Based Personalized Recommendation System.” 2013. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/805.

MLA Handbook (7th Edition):

Alfarhood, Sultan Dawood. “Traveltant: Social Interaction Based Personalized Recommendation System.” 2013. Web. 29 Oct 2020.

Vancouver:

Alfarhood SD. Traveltant: Social Interaction Based Personalized Recommendation System. [Internet] [Masters thesis]. University of Arkansas; 2013. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/805.

Council of Science Editors:

Alfarhood SD. Traveltant: Social Interaction Based Personalized Recommendation System. [Masters Thesis]. University of Arkansas; 2013. Available from: https://scholarworks.uark.edu/etd/805


University of Arkansas

11. Gautam, Dipesh. A Bandwidth-Conserving Architecture for Crawling Virtual Worlds.

Degree: MS, 2013, University of Arkansas

  A virtual world is a computer-based simulated environment intended for its users to inhabit via avatars. Content in virtual worlds such as Second Life… (more)

Subjects/Keywords: Applied sciences; Bandwidth saving; Crawlers; Virtual worlds; Graphics and Human Computer Interfaces; Other Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gautam, D. (2013). A Bandwidth-Conserving Architecture for Crawling Virtual Worlds. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/933

Chicago Manual of Style (16th Edition):

Gautam, Dipesh. “A Bandwidth-Conserving Architecture for Crawling Virtual Worlds.” 2013. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/933.

MLA Handbook (7th Edition):

Gautam, Dipesh. “A Bandwidth-Conserving Architecture for Crawling Virtual Worlds.” 2013. Web. 29 Oct 2020.

Vancouver:

Gautam D. A Bandwidth-Conserving Architecture for Crawling Virtual Worlds. [Internet] [Masters thesis]. University of Arkansas; 2013. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/933.

Council of Science Editors:

Gautam D. A Bandwidth-Conserving Architecture for Crawling Virtual Worlds. [Masters Thesis]. University of Arkansas; 2013. Available from: https://scholarworks.uark.edu/etd/933


University of Arkansas

12. Billah, Syed Masum. Identifying Emerging Researchers using Social Network Analysis.

Degree: MS, 2013, University of Arkansas

  Finding rising stars in academia early in their careers has many implications when hiring new faculty, applying for promotion, and/or requesting grants. Typically, the… (more)

Subjects/Keywords: Communication and the arts; Applied sciences; Social network analysis; Digital Communications and Networking; Interpersonal and Small Group Communication

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Billah, S. M. (2013). Identifying Emerging Researchers using Social Network Analysis. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/978

Chicago Manual of Style (16th Edition):

Billah, Syed Masum. “Identifying Emerging Researchers using Social Network Analysis.” 2013. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/978.

MLA Handbook (7th Edition):

Billah, Syed Masum. “Identifying Emerging Researchers using Social Network Analysis.” 2013. Web. 29 Oct 2020.

Vancouver:

Billah SM. Identifying Emerging Researchers using Social Network Analysis. [Internet] [Masters thesis]. University of Arkansas; 2013. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/978.

Council of Science Editors:

Billah SM. Identifying Emerging Researchers using Social Network Analysis. [Masters Thesis]. University of Arkansas; 2013. Available from: https://scholarworks.uark.edu/etd/978


University of Arkansas

13. Gopidi, Shiva Theja Reddy. Automatic User Profile Construction for a Personalized News Recommender System Using Twitter.

Degree: MS, 2015, University of Arkansas

  Modern society has now grown accustomed to reading online or digital news. However, the huge corpus of information available online poses a challenge to… (more)

Subjects/Keywords: Applied sciences; Automatic profile; Collaborative; Content-based; Hybrid recommender system; Personalized news recommender; Twitter system; Digital Communications and Networking; Graphics and Human Computer Interfaces

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gopidi, S. T. R. (2015). Automatic User Profile Construction for a Personalized News Recommender System Using Twitter. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/1263

Chicago Manual of Style (16th Edition):

Gopidi, Shiva Theja Reddy. “Automatic User Profile Construction for a Personalized News Recommender System Using Twitter.” 2015. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/1263.

MLA Handbook (7th Edition):

Gopidi, Shiva Theja Reddy. “Automatic User Profile Construction for a Personalized News Recommender System Using Twitter.” 2015. Web. 29 Oct 2020.

Vancouver:

Gopidi STR. Automatic User Profile Construction for a Personalized News Recommender System Using Twitter. [Internet] [Masters thesis]. University of Arkansas; 2015. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/1263.

Council of Science Editors:

Gopidi STR. Automatic User Profile Construction for a Personalized News Recommender System Using Twitter. [Masters Thesis]. University of Arkansas; 2015. Available from: https://scholarworks.uark.edu/etd/1263


University of Arkansas

14. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 29, 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. 29 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 29]. 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

15. Smith, Josh Reeves. Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging.

Degree: MSCmpE, 2017, University of Arkansas

  We investigate a method, weighted average model fusion, that enables neural networks to learn from the experiences of other networks, as well as from… (more)

Subjects/Keywords: Applied sciences; Machine learning; Neural networks; Weight averaging; Civic and Community Engagement

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Smith, J. R. (2017). Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/1877

Chicago Manual of Style (16th Edition):

Smith, Josh Reeves. “Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging.” 2017. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/1877.

MLA Handbook (7th Edition):

Smith, Josh Reeves. “Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging.” 2017. Web. 29 Oct 2020.

Vancouver:

Smith JR. Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging. [Internet] [Masters thesis]. University of Arkansas; 2017. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/1877.

Council of Science Editors:

Smith JR. Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging. [Masters Thesis]. University of Arkansas; 2017. Available from: https://scholarworks.uark.edu/etd/1877


University of Arkansas

16. Alfarhood, Sultan Dawood. Exploiting Semantic Distance in Linked Open Data for Recommendation.

Degree: PhD, 2017, University of Arkansas

  The use of Linked Open Data (LOD) has been explored in recommender systems in different ways, primarily through its graphical representation. The graph structure… (more)

Subjects/Keywords: Applied sciences; Linked data; Recommender system; Semantic distance; Similarity; Databases and Information Systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Alfarhood, S. D. (2017). Exploiting Semantic Distance in Linked Open Data for Recommendation. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/1882

Chicago Manual of Style (16th Edition):

Alfarhood, Sultan Dawood. “Exploiting Semantic Distance in Linked Open Data for Recommendation.” 2017. Doctoral Dissertation, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/1882.

MLA Handbook (7th Edition):

Alfarhood, Sultan Dawood. “Exploiting Semantic Distance in Linked Open Data for Recommendation.” 2017. Web. 29 Oct 2020.

Vancouver:

Alfarhood SD. Exploiting Semantic Distance in Linked Open Data for Recommendation. [Internet] [Doctoral dissertation]. University of Arkansas; 2017. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/1882.

Council of Science Editors:

Alfarhood SD. Exploiting Semantic Distance in Linked Open Data for Recommendation. [Doctoral Dissertation]. University of Arkansas; 2017. Available from: https://scholarworks.uark.edu/etd/1882


University of Arkansas

17. Mahler, Michael. A Home Security System Based on Smartphone Sensors.

Degree: MS, 2018, University of Arkansas

  Several new smartphones are released every year. Many people upgrade to new phones, and their old phones are not put to any further use.… (more)

Subjects/Keywords: Accelerometer; Home Security; iPhone; Machine Learning; Sensors; Spectrogram; Graphics and Human Computer Interfaces; Information Security; Software Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mahler, M. (2018). A Home Security System Based on Smartphone Sensors. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2816

Chicago Manual of Style (16th Edition):

Mahler, Michael. “A Home Security System Based on Smartphone Sensors.” 2018. Masters Thesis, University of Arkansas. Accessed October 29, 2020. https://scholarworks.uark.edu/etd/2816.

MLA Handbook (7th Edition):

Mahler, Michael. “A Home Security System Based on Smartphone Sensors.” 2018. Web. 29 Oct 2020.

Vancouver:

Mahler M. A Home Security System Based on Smartphone Sensors. [Internet] [Masters thesis]. University of Arkansas; 2018. [cited 2020 Oct 29]. Available from: https://scholarworks.uark.edu/etd/2816.

Council of Science Editors:

Mahler M. A Home Security System Based on Smartphone Sensors. [Masters Thesis]. University of Arkansas; 2018. Available from: https://scholarworks.uark.edu/etd/2816

.