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Alexa for Health Practitioners
(North Dakota State University, 2020)
Many industries, including healthcare, are trying to take advantage of voice assistant systems by incorporating their technology into the industries’ environment. However, not many companies or researchers have successfully ...
Deterministic Greedy Algorithms for Optimal Sensor Placement
(North Dakota State University, 2012)
A sensor is a device which can be sensitive to any physical stimulus, such as light, heat, or a particular motion, and responds with a respective impulse. A graph is an abstract representation for a set of objects of any ...
Evaluating the Usefulness of Requirement Error Taxonomy as a Defect Prevention Technique: An Empirical Investigation
(North Dakota State University, 2014)
Defect prevention techniques can be used during the creation of software artifacts to help developers create high-quality artifacts. The Requirement Error Taxonomy developed by Walia et al. [22, 23] helps focus developer’s ...
A Java Class Analysis Program Development By ASM Library
(North Dakota State University, 2017)
Class analysis is useful technique that can be used in many situations, from the syntaxes parsing, potential bugs finding, and unused code detecting to reverse engineer coding. In this paper, I write a small program classasm ...
Consumer Sentiment Analysis Using Twitter
(North Dakota State University, 2017)
Sentiment analysis is the task of finding people’s opinions about specific objects/matters. Ordinary people’s opinions affect the decision-making process. Today, there is a massive explosion of “sentiments” available on ...
Comparison of Global and Local Particle Swarm Optimization
(North Dakota State University, 2021)
Particle swarm optimization is a computational algorithm used to optimize a solution through sequential processing of particles using a specified estimation of quality. The algorithm is inspired by biological systems such ...
An Artificial Immune System Heuristic in a Smart Electrical Grid
(North Dakota State University, 2014)
The immune system of the human body follows a process that is adaptive and learns via experience. Some algorithms are designed to take advantage of this process to determine solutions for complex problem domains. The ...
Foundational Algorithms Underlying Horizontal Processing of Vertically Structured Big Data Using pTrees
(North Dakota State University, 2016)
For Big Data, the time taken to process a data mining algorithm is a critical issue. Many reliable algorithms are unusable in the big data environment due to the fact that the processing takes an unacceptable amount of ...
Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks
(North Dakota State University, 2018)
A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy ...
Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge
(North Dakota State University, 2016)
The problem of inferring novel knowledge from implicit facts by logically connecting independent fragments of literature is known as Literature Based Discovery (LBD). In LBD, to discover hidden links, it is important to ...