Search
Now showing items 1-10 of 22
Comparative Analysis of Interface Usability for Cybersecurity Applications
(North Dakota State University, 2021)
In cybersecurity, understanding the technologies and the best ways to interface with them is paramount for staying ahead of growing cyberthreats. Developers of cybersecurity software will benefit greatly from a greater ...
Mining Approximate Frequent Dense Modules from Multiple Gene Expression Datasets
(North Dakota State University, 2021)
Large amount of gene expression data has been collected for various environmental and biological conditions. Extracting dense modules that are recurrent in multiple gene coexpression networks has been shown to be promising ...
Recommending Whom to Follow on GitHub
(North Dakota State University, 2021)
Social networking activities on GitHub allow the construction of interesting interaction networks. One such network is `follow-network' which enables an effective information dissemination process. As a result, GitHub users ...
Development and Validation of a Library for Iterative Window-Based Processing of Geospatial Data
(North Dakota State University, 2021)
High-resolution spectral images and digital elevation models are widely available. With this quantity of data, it is imperative to develop fast algorithms to extract information. We present a Python library that implements ...
Intrusion Detection With an Autoencoder and ANOVA Feature Selector
(North Dakota State University, 2021)
Intrusion detection systems are systems that aim at identifying malicious activities or violation of policies in a network. The problem of high dimensionality in intrusion detection systems is a barrier in processing data ...
Building Plant 3D Genome Computing Resources
(North Dakota State University, 2021)
Chromatin interactions play increasingly important roles in three-dimensional genome organization and long-range gene regulation. Analyzing the three-dimensional structure of the plants is currently a growing field and we ...
Development of an Algorithm for Detection and Recovery of Corruption in Convolutional Neural Networks Data Storage
(North Dakota State University, 2021)
Computer vision based applications are commonly utilized in embedded systems. The demand for higher accuracy leads to increased complexity of convolutional neural networks (CNN) and hence, larger storage requirement for ...
Deep Learning Applied to Public Company Valuation for Value Investing
(North Dakota State University, 2021)
Value investing is an investing approach that seeks to discover and take advantage of price discrepancies between the market price and the actual value of a company (intrinsic value). The purpose of this work is to measure ...
Addressing Challenges in Data Privacy and Security: Various Approaches to Secure Data
(North Dakota State University, 2021)
Emerging neural networks based machine learning techniques such as deep learning and its variants have shown tremendous potential in many application domains. However, the neural network models raise serious privacy concerns ...
Decision-Making for Self-Replicating 3D Printed Robot Systems
(North Dakota State University, 2021)
This work addresses decision-making for robot systems that can self-replicate. With the advent of 3D printing technology, the development of self-replicating robot systems is more feasible to implement than it was previously. ...