Browsing 2021 UMKC Dissertations - Freely Available Online by Thesis Department "Telecommunications and Computer Networking (UMKC)"
Now showing items 1-3 of 3
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An Approach For Scalable First-Order Rule Learning On Twitter Data
(2021)Scalable Rule Learning (SRLearn) is a scalable divide-and-conquer approach with graph-based modeling of social media data, to scale up first-order rule learning through Markov Logic Networks on a commodity cluster on large ... -
Scalable Acceleration of The Characteristic Mode Analysis Computational Toolbox Using Big Data Techniques
(2021)Characteristic Mode Analysis (CMA) is used in the design and analysis of a wide range of electromagnetic devices such as antennas and nano-structures. CMA provides physical insight into a target's electromagnetic response ... -
Video Streaming Quality of Experience (QoE): In-network Cache Prefetching and Moving QoE Models
(2021)Video streaming accounts for a significant amount of traffic on the Internet. Users expect a high quality of experience with online video streaming. Service and content providers desire to provide a satisfying experience ...