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Enumeration of Dense Modules in Networks
(North Dakota State University, 2019)
To analyze large networks in various research fields including biology, sociology, and web mining, detection of dense modules (a.k.a. clusters) is a crucial step. Though numerous methods have been proposed to this aim, ...
Particle Swarm Optimization and Particle Filter Applied to Object Tracking
(North Dakota State University, 2016)
The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade its performance. The particle filter is ...
Design and Development of Naive Bayes Classifier
(North Dakota State University, 2013)
The naïve Bayes classifier is a simple form of Bayesian classifiers which assumes all the features are independent of each other. Despite this assumption, the naïve Bayes classifier’s accuracy is comparable to other ...
Agent Communication and Negotiation in a Supply Chain
(North Dakota State University, 2013)
Supply Chain Management is an essential management paradigm for almost every organization. Effective implementation of Supply Chain Management (SCM) can significantly increase an organization’s profit. In this paper, a ...
An Automated Testing Framework for the Virtual Cell Game
(North Dakota State University, 2013)
The NDSU Virtual Cell game is a role-based, multi-user computer game developed to aid in learning cellular concepts in biology. It is developed using client/server architecture with Lambda-Moo as a server and web-based ...
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 ...