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Blood Glucose Prediction Models for Personalized Diabetes Management
(North Dakota State University, 2018)
Effective blood glucose (BG) control is essential for patients with diabetes. This calls for an immediate need to closely keep track of patients' BG level all the time. However, sometimes individual patients may not be ...
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. ...
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 ...
Pressure-based Authentication: A Secure and Usable Approach
(North Dakota State University, 2018)
Due to its invisibility feature, pressure force is useful to enhance the security of authentication, especially preventing shoulder surfing. However, it is challenging to memorize a pressure-based password. This paper ...
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, ...
Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks
(North Dakota State University, 2018)
Frequent graph mining has received considerable attention from researchers. Existing algorithms for frequent subgraph mining do not scale for large networks, and take hours to finish. Mining multiple gene coexpressions ...
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 ...
Using Human Error Models to Improve the Quality of Software Requirements
(North Dakota State University, 2018)
Creating high quality software is a primary concern for software development organizations. Researchers have devoted considerable effort in developing quality improvement methods that help software engineers detect faults ...
Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks
(North Dakota State University, 2018)
A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy ...
A Linear Delay Algorithm for Enumerating All Connected Induced Subgraphs
(North Dakota State University, 2018)
Real biological and social data is increasingly being represented as graphs. Pattern-mining-based graph learning and analysis techniques report meaningful biological subnetworks that elucidate important interactions among ...