Browsing M.Sc. Computer Science by Title
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An Abstract Algebraic Theory of LFuzzy Relations for Relational Databases
Classical relational databases lack proper ways to manage certain realworld situations including imprecise or uncertain data. Fuzzy databases overcome this limitation by allowing each entry in the table to be a fuzzy set ... 
Approximation Algorithms using Allegories and Coq
In this thesis, we implement several approximation algorithms for solving optimization problems on graphs. The result computed by the algorithm may or may not be optimal. The approximation factor of an algorithm indicates ... 
Automatic evolution of conceptual building architectures
(20120403)This thesis describes research in which genetic programming is used to automatically evolve shape grammars that construct three dimensional models of possible external building architectures. A completely automated ... 
Automatic Inference of Graph Models for Complex Networks with Genetic Programming
(Brock University, 20130726)Complex networks can arise naturally and spontaneously from all things that act as a part of a larger system. From the patterns of socialization between people to the way biological systems organize themselves, complex ... 
Automatic Structure Generation using Genetic Programming and Fractal Geometry
(Brock University, 20120209)Three dimensional model design is a wellknown and studied field, with numerous realworld applications. However, the manual construction of these models can often be timeconsuming to the average user, despite the ... 
Bioinspired optimization & sampling technique for sidechain packing in MCCE
(Brock University, 20101026)The prediction of proteins' conformation helps to understand their exhibited functions, allows for modeling and allows for the possible synthesis of the studied protein. Our research is focused on ... 
Bounds on edit metric codes with combinatorial DNA constraints
(Brock University, 20100309)The design of a large and reliable DNA codeword library is a key problem in DNA based computing. DNA codes, namely sets of fixed length edit metric codewords over the alphabet {A, C, G, T}, satisfy certain combinatorial ... 
A Centrality Based MultiObjective DiseaseGene Association Approach Using Genetic Algorithms
The Disease Gene Association Problem (DGAP) is a bioinformatics problem in which genes are ranked with respect to how involved they are in the presentation of a particular disease. Previous approaches have shown the strength ... 
Characterizing Dynamic Optimization Benchmarks for the Comparison of MultiModal Tracking Algorithms
Populationbased metaheuristics, such as particle swarm optimization (PSO), have been employed to solve many realworld optimization problems. Although it is of ten sufficient to find a single solution to these problems, ... 
Comparison of classification ability of hyperball algorithms to neural network and knearest neighbour algorithms
(20120403)The main focus of this thesis is to evaluate and compare Hyperbalilearning algorithm (HBL) to other learning algorithms. In this work HBL is compared to feed forward artificial neural networks using back propagation learning, ... 
Complete computational sequence characterization of mobile element variations in the human genome using metapersonal genome data
While a large number of methods have been developed to detect such types of genome sequence variations as single nucleotide polymorphisms (SNPs) and small indels, comparatively fewer methods have been developed for finding ... 
Construction of IDeletionCorrecting Ternary Codes
(20130408)Finding large deletion correcting codes is an important issue in coding theory. Many researchers have studied this topic over the years. Varshamov and Tenegolts constructed the VarshamovTenengolts codes (VT codes) and ... 
Data mining using Lfuzzy concept analysis.
Association rules in data mining are implications between attributes of objects that hold in all instances of the given data. These rules are very useful to determine the properties of the data such as essential features ... 
Decoding algorithms using sideeffect machines
(Brock University, 20100309)Bioinformatics applies computers to problems in molecular biology. Previous research has not addressed edit metric decoders. Decoders for quaternary edit metric codes are finding use in bioinformatics problems ... 
Deep Learning Concepts for Evolutionary Art
A deep convolutional neural network (CNN) trained on millions of images forms a very highlevel abstract overview of any given target image. Our primary goal is to use this highlevel content information of a given target ... 
A Deep Learning Pipeline for Classifying Different Stages of Alzheimer's Disease from fMRI Data.
Abstract Alzheimer’s disease (AD) is an irreversible, progressive neurological disorder that causes memory and thinking skill loss. Many different methods and algorithms have been applied to extract patterns from ... 
DiseaseGene Association Using a Genetic Algorithm
(Brock University, 20141009)Understanding the relationship between genetic diseases and the genes associated with them is an important problem regarding human health. The vast amount of data created from a large number of highthroughput experiments ... 
DiseaseGene Association Using Genetic Programming
As a result of mutation in genes, which is a simple change in our DNA, we will have undesirable phenotypes which are known as genetic diseases or disorders. These small changes, which happen frequently, can have extreme ... 
Effect of the Side Effect Machines in Edit Metric Decoding
The development of general edit metric decoders is a challenging problem, especially with the inclusion of additional biological restrictions that can occur in DNA error correcting codes. Side effect machines (SEMs), an ... 
Elliptic Curve Cryptography using Computational Intelligence
Publickey cryptography is a fundamental component of modern electronic communication that can be constructed with many different mathematical processes. Presently, cryptosystems based on elliptic curves are becoming popular ...