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Now showing items 1441-1450 of 3109
Social Network Based Recommendation System
(North Dakota State University, 2013)
Every day we are overwhelmed with choices and options. Recommendation systems have gained popularity in providing suggestions. But every web application today has its own recommendation system. The recommendations provided ...
Automatic Method for Testing Struts-Based Application
(North Dakota State University, 2013)
Model based testing is a very popular and widely used in industry and academia. There are many tools developed to support model based development and testing, however, the benefits of model based testing requires tools ...
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 ...