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Design and Evaluation of Two Hybrid Genome Assembly Approaches Using Illumina, Roche 454, and PacBio Datasets
(North Dakota State University, 2016)
The assembly of next-generation sequencing reads is one of the most challenging and important tasks in bioinformatics. There are many different types of assembly algorithms and programs that have been developed to assemble ...
Investigating the Defect Patterns during the Software Development Projects
(North Dakota State University, 2014)
With the growing software industry and our dependency on complex software applications, it is vital that the software is free of faults. The objective of my study is to, identify and classify the most common type of defects ...
Stock Price Prediction Using Recurrent Neural Networks
(North Dakota State University, 2018)
The stock market is generally very unpredictable in nature. There are many factors that might be responsible to determine the price of a particular stock such as the market trend, supply and demand ratio, global economy, ...
Modeling of Consumer Responses to Dynamic Pricing in a Smart Grid
(North Dakota State University, 2012)
This paper models the responses of three different types of consumers based on their sensitivity to dynamic price. Simulated household demand data is used to model the dynamic price of electricity. These prices are then ...
Application of the Kusumoto Cost-Metric to Evaluate the Cost-Effectiveness of Software Inspections
(North Dakota State University, 2012)
Inspection and testing are two widely recommended techniques for software quality improvement with a common goal of defect detection and removal in software products. While testing cannot be conducted until software is ...
Sentiment Analysis on Twitter Data Using Different Algorithms
(North Dakota State University, 2018)
Sentiment analysis is the process of determining opinion expressed in a text, or an estimation of emotion related to the certain topic if it is negative, positive or neutral. The massive growth of social media, Twitter has ...
Analyzing Student Learning Outcomes in Programming Course Using Individual Study Vs. Pair Programming
(North Dakota State University, 2014)
Pair programming has been common practice in the programming industry during last three decades, but only recently did it start to draw the attention as a teaching strategy. This paper investigates whether we should introduce ...
Taxonomy of Gestures in Human Computer Interaction
(North Dakota State University, 2013)
Classification of gestures is important in the area of gestural interaction given the diversity, the complexity and the spontaneity of the gestures in different HCI application domains. Gesture designers for interactive ...
Multi-Agent Based Simulation of an Unmanned Aerial Vehicles System
(North Dakota State University, 2011)
The rapid growth of using Unmanned Aerial Vehicles (UAV) for civilian and military applications has promoted the development of research in many areas. Most of the unmanned aerial vehicles in use are manually controlled. ...
Comparison of Particle Swarm Optimization Variants
(North Dakota State University, 2012)
Particle swarm optimization (PSO) is a heuristic global optimization method, which is based on swarm intelligence. It is inspired by the research on the bird and fish flock movement behavior. The algorithm is widely used ...