Browsing 2021 Dissertations (UMKC) by Thesis Advisor "Rao, Praveen R."
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 ... -
FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain
(2021)With increased awareness comes unprecedented expectations. We live in a digital, cloud era wherein the underlying information architectures are expected to be elastic, secure, resilient, and handle petabyte scaling. The ... -
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 ...