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Classifying Gene Coexpression Networks Using Discrimination Pattern Mining
(North Dakota State University, 2016)
Several algorithms for graph classi cation have been proposed. Algorithms that map graphs
into feature vectors encoding the presence/absence of speci c subgraphs, have shown excellent performance.
Most of the existing ...
Optimization of Benchmark Functions using Chemical Reaction Optimization
(North Dakota State University, 2013)
In recent past, many new nature-inspired optimization techniques have been emerged in the field of science and engineering that have proven to be efficient to solve optimization problems. One such method that makes use of ...
Context Specific Module Mining from Multiple Co-Expression Graph
(North Dakota State University, 2017)
Gene co-expression networks can be used to associate genes of unknown function with biological processes or to find genes in a specific context, environment responsible for a disease. We provide an overview of methods and ...
Algorithms for Coverage Improvement in a Sensor Network
(North Dakota State University, 2011)
Sensors are devices which have the ability to receive and respond to a signal. These sensors, when used as a group, form a sensor network. Sensors in a sensor network can communicate and transmit data. In the early stages ...
Parallelization of Generic PSO Java Code Using MPJExpress
(North Dakota State University, 2013)
Many scientific, engineering and economic problems involve the optimization of a set of parameters. The Particle Swarm Optimization (PSO) is one of the new techniques that have been empirically shown to perform well. The ...
Understanding Human Errors to Improve Requirements Quality
(North Dakota State University, 2018)
Requirements engineering is the first and perhaps the most important phase of software life cycle. Software faults committed during the requirements development, if left undetected can affect downstream activities. While ...
Classification of LiDar Data Using Window-Based Techniques
(North Dakota State University, 2016)
Given LiDAR maps, we focus on identifying anthropologically relevant ditches automatically on the map. Archeologists can identify these features visually at the site, but approaches based on remotely sensed data would be ...
A Distributed Power Market for the Smart Grid
(North Dakota State University, 2012)
To address the challenges of resource allocation in the Smart Electrical Grid a new power market is proposed. A distributed and autonomous contract net based market system in which participants, represented by the agents, ...
The Design of Virtual Reality Based Data Visualization and User Interface Design in a Semi-Automated Cyber-Security Research Application
(North Dakota State University, 2019)
Virtual Reality is currently an affordable and consumer ready technology used by many in the games and interactive media industry, however unlike the user interface standards in mobile, PCs, and Macs, VR UI design can vary ...
Shortest Path in a Wireless Sensor Network with Multiple Sensor Failures
(North Dakota State University, 2011)
This paper shows how a shortest path can be obtained in a wireless sensor network, between a source sensor and a destination sensor, in a hop-by-hop fashion, considering multiple sensor failures along the path of data ...