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Understanding and Adapting to Crowd Behavior: A Study of Wireless Networks and Entrepreneurial Crowdfunding
(University of Missouri -- Kansas City, 2017)
The advances of the future will demand scholars have a systemic vision to solve problems. Integration across disciplines is needed to study, explain, inquire and discover
beyond the traditional borders of academic areas. ...
A semantic framework for event-driven service composition
(University of Missouri--Kansas City, 2011-09-14)
Service Oriented Architecture (SOA) has become a popular paradigm for designing
distributed systems where loosely coupled services (i.e. computational entities) can be
integrated seamlessly to provide complex composite ...
Learning Efficient Deep Feature Extraction For Mobile Ocular Biometrics
(2020)
Ocular biometrics uses physical traits from eye regions such as iris, conjunctival vasculature, and periocular for recognizing the person. Ocular biometrics has gained popularity amongst research and industry alike for its ...
Graphene Nanotechnology the Next Generation Logic, Memory and 3D Integrated Circuits
(University of Missouri--Kansas City, 2016)
Floating gate transistor is the basic building block of non-volatile flash memory, which
is one of the most widely used memory gadgets in modern micro and nano electronic
applications. Recently there has been a surge ...
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 ...
A New Approach for Fast Processing of SPARQL Queries on RDF Quadruples
(2015-06-19)
The Resource Description Framework (RDF) is a standard model for representing
data on the Web. It enables the interchange and machine processing of
data by considering its semantics. While RDF was first proposed with the ...
High Availability and Scalability Schemes for Software- Defined Networks (SDN)
(2015)
A proliferation of network-enabled devices and network-intensive applications require
the underlying networks not only to be agile despite of complex and heterogeneous
environments, but also to be highly available and ...
Lightweight cryptographic protocols for mobile devices
(2020)
In recent years, a wide range of resource-constrained devices have been built and integrated into many networked systems. These devices collect and transfer data over the Internet in order for users to access the data or ...
A Graph Analytics Framework for Knowledge Discovery
(2016)
In the current data movement, numerous efforts have been made to convert and normalize
a large number of traditionally structured and unstructured data to semi-structured data
(e.g., RDF, OWL). With the increasing number ...
Redundant adder architectures for cell-based technology
(University of Missouri--Kansas City, 2012-01-06)
The amenity of our daily lives has come to rely on an enormous number of
embedded systems, such as mobile phones, anti-spin systems for cars, high de nition
streaming video and portable devices. The utmost important ...
Framework for Automatic Identification of Paper Watermarks with Chain Codes
(University of Missouri--Kansas City, 2017)
In this dissertation, I present a new framework for automated description, archiving, and
identification of paper watermarks found in historical documents and manuscripts. The early
manufacturers of paper have introduced ...
Deep Open Representative Learning for Image and Text Classification
(2020)
An essential goal of artificial intelligence is to support the knowledge discovery process from data to the knowledge that is useful in decision making. The challenges in the knowledge discovery process are typically due ...