Now showing items 12-31 of 72

  • Decoding algorithms using side-effect machines 

    Brown, Joseph Alexander (Brock University, 2010-03-09)
    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 ...
  • A Deep Learning Pipeline for Classifying Different Stages of Alzheimer's Disease from fMRI Data. 

    kazemi, yosra
    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 ...
  • Disease-Gene Association Using a Genetic Algorithm 

    Tahmasebipour, Koosha (Brock University, 2014-10-09)
    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 high-throughput experiments ...
  • Disease-Gene Association Using Genetic Programming 

    Entezari Heravi, Ashkan
    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 ...
  • Elliptic Curve Cryptography using Computational Intelligence 

    Ribaric, Tim
    Public-key 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 ...
  • Enabling and Measuring Complexity in Evolving Designs using Generative Representations for Artificial Architecture 

    Harrington, Adrian (Brock University, 2012-11-07)
    As the complexity of evolutionary design problems grow, so too must the quality of solutions scale to that complexity. In this research, we develop a genetic programming system with individuals encoded as tree-based ...
  • Equational Reasoning about Object-Oriented Programs 

    Hossain, Md. Nour (2013-04-08)
    Formal verification of software can be an enormous task. This fact brought some software engineers to claim that formal verification is not feasible in practice. One possible method of supporting the verification process ...
  • Evolution of architectural floor plans 

    Flack, Robert W. J. (Brock University, 2011-10-13)
    Layout planning is a process of sizing and placing rooms (e.g. in a house) while a t t empt ing to optimize various criteria. Often the r e are conflicting c r i t e r i a such as construction ...
  • Evolutionary synthesis of stochastic gene network models using feature-based search spaces 

    Imada, Janine. (Brock University, 2009-01-28)
    A feature-based fitness function is applied in a genetic programming system to synthesize stochastic gene regulatory network models whose behaviour is defined by a time course of protein expression levels. Typically, ...
  • Extending relAPS to first order logic 

    Aameri, Bahar (Brock University, 2011-03-08)
    RelAPS is an interactive system assisting in proving relation-algebraic theorems. The aim of the system is to provide an environment where a user can perform a relation-algebraic proof similar to doing it using pencil ...
  • Feature Selection and Classification Using Age Layered Population Structure Genetic Programming 

    Awuley, Anthony
    The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is ...
  • Formalizing affordances in situation 

    Lenarcic, Adam (2012-04-03)
    The representation of a perceptual scene by a computer is usually limited to numbers representing dimensions and colours. The theory of affordances attempted to provide a new way of representing an environment, with ...
  • GA approach for finding Rough Set decision rules based on bireducts 

    Rybkin, Oleg
    Feature selection plays an important role in knowledge discovery and data mining nowadays. In traditional rough set theory, feature selection using reduct - the minimal discerning set of attributes - is an important area. ...
  • Generating Aesthetically Pleasing Images in a Virtual Environment using Particle Swarm Optimization 

    Barry, William (Brock University, 2012-11-07)
    This research focuses on generating aesthetically pleasing images in virtual environments using the particle swarm optimization (PSO) algorithm. The PSO is a stochastic population based search algorithm that is inspired ...
  • Generating finite integral relation algebras 

    Zhang, Si (Brock University, 2011-03-08)
    Relation algebras and categories of relations in particular have proven to be extremely useful as a fundamental tool in mathematics and computer science. Since relation algebras are Boolean algebras with some well-behaved ...
  • Generating Relation Algebras for Qualitative Spatial Reasoning 

    Siddavaatam, Prathap (2013-04-15)
    Basic relationships between certain regions of space are formulated in natural language in everyday situations. For example, a customer specifies the outline of his future home to the architect by indicating which rooms ...
  • Generator Matrix Based Search for Extremal Self-Dual Binary Error-Correcting Codes 

    Derka, Martin (Brock University, 2012-09-18)
    Self-dual doubly even linear binary error-correcting codes, often referred to as Type II codes, are codes closely related to many combinatorial structures such as 5-designs. Extremal codes are codes that have the largest ...
  • Generic Matrix Manipulator System 

    Killingbeck, Dylan
    In this thesis we describe in detail a generic matrix manipulator system that performs operations on matrices in a flexible way, using a graphical user interface. A user defines allowable data entries called a coefficient ...
  • Genetic Programming for Non-Photorealistic Rendering 

    Baniasadi, Maryam (Brock University, 2013-04-18)
    This thesis focuses on developing an evolutionary art system using genetic programming. The main goal is to produce new forms of evolutionary art that filter existing images into new non-photorealistic (NPR) styles, by ...
  • Genetic programming for the RoboCup Rescue Simulation System 

    Runka, Andrew (Brock University, 2011-03-08)
    The Robocup Rescue Simulation System (RCRSS) is a dynamic system of multi-agent interaction, simulating a large-scale urban disaster scenario. Teams of rescue agents are charged with the tasks of minimizing civilian ...