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Dynamic Light Trail Construction in Wavelength Division Multiplexing (WDM) Optical Networks
(North Dakota State University, 2017)
This paper addresses dynamic light trail construction issues in a WDM optical network. This construction was done with an objective to consume a minimum number of resources, such as, the number of free wavelengths, while ...
A Decision Model for Emergency Response
(North Dakota State University, 2013)
In the real world, emergencies occur at different places. The emergencies fall into three categories: a fire emergency, a medical emergency, and a police emergency. Different emergencies occur at different places at different ...
Developing a Software Tool to Enhance the Creativity during Software Development Using the Results from the Literature Review
(North Dakota State University, 2013)
Success during software development depends on the creativity of software engineers. Knowledge plays a very important role in enhancing the creativity of software developers. Knowledge is available in different forms like ...
Evaluation of a New Bio-Inspired Algorithm: Krill Herd
(North Dakota State University, 2014)
Number of nature inspired algorithms is proposed to solve complex optimization problems. The Krill Herd algorithm is one such biologically-inspired algorithm, proposed to solve optimization problems in response to biological ...
Software Metrics Tool
(North Dakota State University, 2016)
A software metric is the measurement of a particular characteristic of a software program. These metrics are very useful for optimizing the performance of the software, managing resources, debugging, schedule planning, ...
Improved Genetic Programming Techniques For Data Classification
(North Dakota State University, 2014)
Evolutionary algorithms are one category of optimization techniques that are inspired by processes of biological evolution. Evolutionary computation is applied to many domains and one of the most important is data mining. ...
Mining Interesting Subnetworks from Graphs with Node Attributes
(North Dakota State University, 2018)
A lot of complex data in many scientific domains such as social networks, computational biology and internet of things (IoT) is represented using graphs. With the global expansion of internet, social networks had an explosive ...
Mapreduce-Enabled Scalable Nature-Inspired Approaches for Clustering
(North Dakota State University, 2014)
The increasing volume of data to be analyzed imposes new challenges to the data mining methodologies. Traditional data mining such as clustering methods do not scale well with larger data sizes and are computationally ...
Object Classification Using Stacked Autoencoder and Convolutional Neural Network
(North Dakota State University, 2016)
In the recent years, deep learning has shown to have a formidable impact on object classification and has bolstered the advances in machine learning research. Many image datasets such as MNIST, CIFAR-10, SVHN, Imagenet, ...
Mining Representative Cohesive Dense Subgraphs
(North Dakota State University, 2014)
Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities.
A modern paradigm for solving this problem involves finding ...