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Brain Cancer Detection Using MRI Scans
(North Dakota State University, 2020)
An estimate of about 700,000 Americans today live with a brain tumor. Of these, 70% are benign and 30% are malicious. The average survival rate of all the malicious brain tumor patients is 35%. Diagnosing these tumors early ...
Harnessing User Generated Multimedia Content in the Creation of Collaborative Classification Structures and Retrieval Learning Games
(North Dakota State University, 2015)
This paper describes a software tool to assist groups of people in the classification and identification of real world objects called the Classification, Identification, and Retrieval-based Collaborative Learning Environment ...
Effective Regression Testing of Web Applications through Reusability of Resources
(North Dakota State University, 2018)
Regression testing is one of the most important and costly phases of a software development project. Regression testing is performed to ensure no new faults are introduced due to changes in a software. Web applications ...
A Comparative Study on Different Big Data Tools
(North Dakota State University, 2020)
Big data has long been the topic of fascination for computer science enthusiasts around the world, and has gained even more prominence in recent times with the continuous explosion of data resulting from the likes of social ...
Association Rule Mining of Biological Field Data Sets
(North Dakota State University, 2017)
Association rule mining is an important data mining technique, yet, its use in association analysis of biological data sets has been limited. This mining technique was applied on two biological data sets, a genome and a ...
GPU Enabled Particle Swarm Optimization
(North Dakota State University, 2017)
GPUs are massively parallelized devices. They were designed to handle billions of pixels per second. It is does this by embracing an incredible level of parallelism. GPUs in fact can leverage any other parallel algorithms ...
Noise Removal from Attribute-Groups for Classification
(North Dakota State University, 2013)
In this work, we present a novel algorithm that considers attributes from different experimental sources as separate groups for the purpose of classification. We remove noise from each of these groups, combine them, and ...
Enhancing Restaurant Dining Experience: Design and Evaluation of a Mobile App for Personalized Menu Item Selection in Restaurants
(North Dakota State University, 2023)
Picking the right food item from a restaurant menu can be challenging for people, specially for those who are unfamiliar with local cuisine and those with specific dietary requirements. Existing menus often lack essential ...
Evaluating Different Mobile Web Navigation Styles
(North Dakota State University, 2013)
Web browsing is suffering from the problem of not showing information effectively and efficiently on a small screen. The main aim of this paper is to come up with a solution that will help to minimize this issue. We have ...
Simulation of Forward Air Controller Missions with Pop-Up Targets
(North Dakota State University, 2013)
Orion is a Java-based framework that is used to develop different battlefield scenarios that involve unmanned air vehicles. There are currently four missions in the Orion framework. They are the track, sweep, patrol, and ...