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Now showing items 21-30 of 302
A Map Reduce Approach of K-Means++ Algorithm with Initial Equidistant Centers
(North Dakota State University, 2015)
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the ...
Design of a Game for Cybersecurity Awareness
(North Dakota State University, 2019)
The primary objective of this paper is to use the Bloom’s Revised Taxonomy educational objectives in creating a game called Cyber Air-Strike for learning basic concepts of cybersecurity. Bloom’s Revised Taxonomy is used ...
Comparison of RNN, LSTM and GRU on Speech Recognition Data
(North Dakota State University, 2018)
Deep Learning [DL] provides an efficient way to train Deep Neural Networks [DNN]. DDNs when used for end-to-end Automatic Speech Recognition [ASR] tasks, could produce more accurate results compared to traditional ASR. ...
Optimal Placement of Relay Stations in Wireless Sensor Networks
(North Dakota State University, 2013)
Wireless sensor networks (WSNs) are a collection of nodes organized into a cooperative network with sensing, processing and transmitting capabilities. WSNs are becoming an increasingly prominent technology that can be used ...
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 ...
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 ...
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 ...