Browsing School Mathematics, Statistics and Computer Science by Title
Now showing items 160-179 of 370
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Identifying and modeling the dynamics of a core cancer sub-network.
(2011)Many recent studies have shown that the initiation of human cancer is due to the malfunction of some genes at the R-checkpoint during the G1-to-S transition of the cell cycle. Identifying and modeling the dynamics of ... -
Identifying factors associated with smoking in Gauteng in the presence of missing data.
(2014)Smoking still remains one of the leading preventable causes of death in South Africa. It increases the chances of lung diseases such as emphysema, chronic bronchitis and many other diseases. The current research aims to ... -
Impact of exogenous reinfection on TB infection in a genetically susceptible population.
(2013)In this study we investigated the impact of exogenous reinfection on genetically resistant and genetically sensitive sub populations. We qualitatively analysed the dynamics of TB by assuming that TB is transmitted in two ... -
The impact of semen exposure on cytokine response and bacterial vaginosis in the female genital tract.
(2018)Background: Diverse microbial communities and inflammatory cytokine responses in the lower female genital tract (FGT) are closely associated with increased human immunodeficiency virus (HIV-1) risk, possibly through ... -
Improved roach-based algorithms for global optimization problems.
(2014)Optimization of systems plays an important role in various fields including mathematics, economics, engineering and life sciences. A lot of real world optimization problems exist across field of endeavours such as ... -
Improved techniques for phishing email detection based on random forest and firefly-based support vector machine learning algorithms.
(2014)Electronic fraud is one of the major challenges faced by the vast majority of online internet users today. Curbing this menace is not an easy task, primarily because of the rapid rate at which fraudsters ... -
Imputation for nonresponse using the Annual Financial Statistics Survey.
(2011)In this dissertation, we focus on the Annual Financial Statistics (AFS) survey. This is a survey conducted by Statistics South Africa, the national statistics office of South Africa. The main purpose of this survey is ... -
Inference from finite population sampling : a unified approach.
(2007)In this thesis, we have considered the inference aspects of sampling from a finite population. There are significant differences between traditional statistical inference and finite population sampling inference. In the ... -
Initial conditions of the universe : signatures in the cosmic microwave background and baryon acoustic oscillations.
(2012)In this thesis, we investigate the signatures of isocurvature initial conditions in the cosmic microwave background (CMB) through the temperature and polarization anisotropies, and in the large-scale structure distribution ... -
Intelligent instance selection techniques for support vector machine speed optimization with application to e-fraud detection.
(2017)Decision-making is a very important aspect of many businesses. There are grievous penalties involved in wrong decisions, including financial loss, damage of company reputation and reduction in company productivity. Hence, ... -
Interative approaches to convex feasibility problems.
(2001)Solutions to convex feasibility problems are generally found by iteratively constructing sequences that converge strongly or weakly to it. In this study, four types of iteration schemes are considered in an attempt to ... -
An interpretive study of software risk management perspectives.
(2002)This dissertation addresses risk management in the software development context. The discussion commences with the risks in software development and the necessity for a software risk management process. The emergent discourse ... -
Investigating the spatial distribution of diabetes in Africa using both classical and Bayesian approaches.
(2017)Abstract available in PDF file. -
The investigation into an algorithm based on wavelet basis functions for the spatial and frequency decomposition of arbitrary signals.
(1994)The research was directed toward the viability of an O(n) algorithm which could decompose an arbitrary signal (sound, vibration etc.) into its time-frequency space. The well known Fourier Transform uses sine and cosine ... -
An investigation into the use of genetic programming for the induction of novice procedural programming solution algorithms in intelligent programming tutors.
(2004)Intelligent programming tutors have proven to be an economically viable and effective means of assisting novice programmers overcome learning difficulties. However, the large-scale use of intelligent programming tutors ... -
Investigation of fertilizer usage in Malawi within the rural livelihood diversification project using generalized linear models and quantile regression.
(2013)Malawi’s economy relies heavily on agriculture which is threatened by declines in soil fertility. Measures to ensure increased crop productivity at household level include the increased use of inorganic fertilizers. To ... -
Investigation of gravitational collapse of generalized Vaidya spacetimes.
(2015)In this thesis, we study the gravitational collapse of generalized Vaidya spacetimes which describe a combination of lightlike and timelike matter elds, commonly known as Type I and Type II elds, respectively, in the ... -
An investigation of multi-label classification techniques for predicting HIV drug resistance in resource-limited settings.
(2014)South Africa has one of the highest HIV infection rates in the world with more than 5.6 million infected people and consequently has the largest antiretroviral treatment program with more than 1.5 million people on ... -
Investigation of techniques for automatic polyphonic music transcription using wavelets.
(2009)It has been said (although sadly I have no source) that music is one of the most useful yet useless phenomena known to mankind. Useless in that it has, apparently, no tangible or immediately practical function in our lives, ... -
Iterative algorithms for approximating solutions of variational inequality problems and monotone inclusion problems.
(2017)In this work, we introduce and study an iterative algorithm independent of the operator norm for approximating a common solution of split equality variational inequality prob- lem and split equality xed point problem. ...