Browsing Open Theses & Dissertations by Thesis Supervisor "Kasabov, Nikola"
Now showing items 1-20 of 37
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Adaptive Methods for Spatiotemporal Stream Data Mining
(Auckland University of Technology, 2018)The availability of temporal and spatiotemporal data is increasing, and the use of traditional statistical techniques to deal with such data is insufficient. Novel methods that are capable of adapting to changing patterns ... -
Age Invariant Face Recognition Via Aging Modelling
(Auckland University of Technology, 2017)Aging is a complex problem because at different age points different changes occur in the human face. From childhood to teenage the changes are mostly related to craniofacial growth. At maturity the changes are mostly ... -
An ontology driven knowledge discovery framework for Dynamic Domains: methodology, tools and a Biomedical case
(Auckland University of Technology, 2010)The explosive growth in the volume of data and the growing number of disparate data sources is bringing enormous opportunities and challenges to many research communities. In the biomedical domain, the challenge of knowledge ... -
A brain-computer interface based on a spiking neural network architecture – NeuCube and neuro-feedback
(Auckland University of Technology, 2015)In an average human brain, there are about 100 billion neurons connected by synapses that transmits electro-chemical signals to the different parts of the body. Brain Computer Interfacing (BCI) can be used to study and ... -
Comparative Analysis of Traditional Machine Learning Methods and Spiking Neural Networks for Spatio-temporal Data Mining
(Auckland University of Technology, 2016)A new framework in this study, which uses spiking neural networks for learning spectro-temporal and spatio-temporal data, is the NeuCube. The NeuCube is able to learn and classify and predict data, both in online and offline ... -
Computational Modelling of Spatio-Temporal EEG Brain Data with Spiking Neural Networks
(Auckland University of Technology, 2015)The research presented in this thesis is aimed at modelling, classification and understanding of functional changes in brain activity that forewarn of the onset and/or the progression of a neurodegenerative process that ... -
Connectionist methods for data analysis and modelling of human motion in sporting activities
(Auckland University of Technology, 2012)This research concerns automation of qualitative analysis of human motion in sports, using a novel approach related to assessment and diagnostics, which is required to provide a general user with coaching experience in ... -
CuWITH: a curiosity driven robot for office environmental security
(Auckland University of Technology, 2009)The protection of assets is an important part of daily life. Currently this is done using a combination of passive security cameras and security officers actively patrolling the premises. However, security officers, being ... -
Detection of susceptibility to Multiple Sclerosis from Single Nucleotide Polymorphism data
(Auckland University of Technology, 2013)For many diseases that are genetically based, the date of onset is not predetermined or even predictable. To aid in assisting diagnosis of these diseases it is important to understand the person’s susceptibility to developing ... -
Development of a new computational model for mapping, learning and mining of 3D spatio-temporal fMRI data
(Auckland University of Technology, 2015)The application of data mining techniques, particularly classification of spatio-temporal 3D functional magnetic resonance images has received growing attention in the literature. Spatio or spatial component as well as ... -
Development of Spiking Neural Network Methods for Spatio-temporal Brain Data Analysis
(Auckland University of Technology, 2019)This thesis proposes methods employing an evolving Spiking Neural Network (SNN) architecture for the analysis of spatio-temporal neuroimaging data. Multivariate Spatio-Temporal Brain Data (STBD) is intrinsically complex ... -
Evaluation and Improvement of Current Computational Tools for Metabolomics Data Analysis
(Auckland University of Technology, 2017) -
Evolving connectionist systems for adaptive decision support with application in ecological data modelling
(Auckland University of Technology, 2009)Ecological modelling problems have characteristics both featured in other modelling fields and specific ones, hence, methods developed and tested in other research areas may not be suitable for modelling ecological problems ... -
Evolving probabilistic spiking neural networks for modelling and pattern recognition of spatio-temporal data on the case study of Electroencephalography (EEG) brain data
(Auckland University of Technology, 2012)The use of Electroencephalography (EEG) in Brain Computer Interface (BCI) domain presents a challenging problem due to presence of spatial and temporal aspects inherent in the EEG data. Many studies either transform the ... -
Evolving spiking neural networks for adaptive audiovisual pattern recognition
(Auckland University of Technology, 2008)This dissertation presents new modular and integrative information methods and systems inspired by the way the brain performs information processing, in particular, pattern recognition. The proposed artificial systems use ... -
Evolving Spiking Neural Networks for Spatio- and Spectro- Temporal Data Analysis: Models, Implementations, Applications
(Auckland University of Technology, 2015)Arguably the most significant challenge in modern machine learning regards how we address the complexities of Spatio- and Spectro-Temporal Data (SSTD); i.e., data with some spatial, spectral, and temporal component. ... -
Feasibility analysis of using NeuCube 3D SNN environment for spatio-temporal EEG data classification related to perception of art
(Auckland University of Technology, 2014)This thesis is a feasibility study of using a Spiking Neural Network (SNN) architecture named NeuCube for the classification of electroencephalography (EEG) data related to the perception of art. We have performed ... -
A framework for the integration of the Emotiv EEG System into the NeuCube spiking neural network environment for robotics control
(Auckland University of Technology, 2014)As BCI has been widely studied in recent years, lots of BCI applications have been de-veloped. In this thesis, to implement BCI into individual devices is simulated by con-trolling a robot. Before discussing the experiment, ... -
A fuzzy ontology approach to coding clinical notes: a web-based system
(Auckland University of Technology, 2014)In clinical research, knowledge and data are often recorded in free-text format which is difficult to access reliably because the variety of expression is vast. The most comprehensive clinical vocabulary currently available ... -
Geometric correlation extraction method for intelligent finance data analysis
(Auckland University of Technology, 2012)Trend forecasting could be one of the most challenging things in stock market analysis, as the data associated with stock is the time series data characterized in high intensity, noise, uncertainty, etc. In addition, beyond ...