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Adaptive Regression Testing Strategy: An Empirical Study
(North Dakota State University, 2012)
When software systems evolve, different amounts of code modifications can be involved in different versions. These factors can affect the costs and benefits of regression testing techniques, and thus, there may be no single ...
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. ...
Efficient Publish/Subscribe System over Mobile Ad-Hoc Network
(North Dakota State University, 2012)
Information dissemination is an important issue for mobile ad-hoc communities. This issue is very challenging due to the dynamic and fragile nature of the mobile ad-hoc networks, in which participants have limited computing ...
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 ...
Training Set Selection to Improve Crop Classification
(North Dakota State University, 2015)
In some classification problems, acquiring class label information is much more expensive than collecting attribute data. One such problem is crop classification from satellite imagery. While random sampling is one option, ...
Prediction Accuracy of Financial Data - Applying Several Resampling Techniques
(North Dakota State University, 2020)
With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ...
Mining Connected Frequent Boolean Expressions
(North Dakota State University, 2017)
In this paper, we are finding Connected Frequent Boolean Expressions from cancer dataset [14] and protein protein interaction network [14] to discover group of dysregulated genes. Frequent Itemset Mining is a process of ...
A New Coupling Metric: Combining Structural and Semantic Relationships
(North Dakota State University, 2014)
Maintaining object-oriented software is problematic and expensive. Earlier research has revealed that complex relationships among object-oriented software entities are key reasons that make maintenance costly. Therefore, ...
Tracking Vehicles from Mobile Phone Received Signal Strength Sequences
(North Dakota State University, 2015)
We address the problem of tracking vehicles from received signal strength (RSS) sequences generated by mobile phones carried in them. Our main objectives are to provide travel-time estimates for selected roads and provide ...
Application of Memory-Based Collaborative Filtering to Predict Fantasy Points of NFL Quarterbacks
(North Dakota State University, 2019)
Subjective expert projections have been traditionally used to predict points in fantasy football, while machine prediction applications are limited. Memory-based collaborative filtering has been widely used in recommender ...