Search
Now showing items 41-50 of 408
Analysis of Image Classification Deep Learning Algorithm
(North Dakota State University, 2023)
This study explores the use of TensorFlow 2 and Python for image classification problems. Image categorization is an important area in computer vision, with several real-world applications such as object identification/r ...
Diabetes Social Networking App for American Indians
(North Dakota State University, 2019)
Chronic disease effects health and quality of living largely. Social networking can initiate the onset of pathology and serve as direct cause for several chronic and non-communicable diseases. Technology has the potential ...
Protein Functional Site Prediction Using the Shortest-Path Graph Kernel Method
(North Dakota State University, 2013)
Over the past decade Structural Genomics projects have accumulated structural data for over 75,000 proteins, but the function of most of them are unknown due to limitation of laboratory approaches for discovering the ...
A Comparative Study of Spreadsheet Applications on Mobile Devices
(North Dakota State University, 2013)
Advancements with mobile-screen sizes and enhancements to current-day features for mobile applications have increased the number of users accessing spreadsheets on mobile devices while away from desktop computers. In recent ...
Prediction of Rental Demand for a Bike-Share Program
(North Dakota State University, 2017)
In recent years, bike-sharing programs have become more prevalent. Bicycle usage can be affected by different factors, such as nearby events, road closures, and on-campus traffic policies. The research presented here ...
Mining Frequent Coherent Patterns from Weighted Graphs
(North Dakota State University, 2014)
Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns ...
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 ...