School Mathematics, Statistics and Computer Science
Sub-communities within this community
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Applied Mathematics [114]
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Computer Science [95]
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Pure Mathematics [42]
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Statistics [119]
Recent Submissions
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Meta-analysis of time to seizure relapse after a post-operative epilepsy surgery.
(2020)Epilepsy is a common disease world-wide whose suggested treatment vary from surgical to non-surgical. Although surgical treatments may be commonly recommended and successful in pharmacoresistant epilepsy for patients ... -
Age, period and cohort analysis of young adult mortality due to HIV and TB in South Africa: 1997-2015.
(2019)Young adult mortality is very important in South Africa with the impact of Human Immunodeficiency Virus /Acquired Immune deficiency Syndrome (HIV/AIDS), Tuberculosis (TB), injuries and emerging non-communicable diseases ... -
Epidemiological modelling of foot and mouth disease control in cattle: incorporating time and spatial spread of disease dynamics.
(2019)Foot and mouth disease (FMD) is a contagious animal viral infection that can spread rapidly if the disease is not monitored and controlled. Therefore, protecting livestock and controlling foot and mouth disease is important ... -
A numerical study of heat and mass transfer in non-Newtonian nanofluid models.
(2019)A theoretical study of boundary layer flow, heat and mass transport in non-Newtonian nanofluids is presented. Because of the diversity in the physical structure and properties of non-Newtonian fluids, it is not possible ... -
Self-adaptive inertial algorithms for approximating solutions of split feasilbility, monotone inclusion, variational inequality and fixed point problems.
(2020)In this dissertation, we introduce a self-adaptive hybrid inertial algorithm for approximating a solution of split feasibility problem which also solves a monotone inclusion problem and a fixed point problem in p-uniformly ... -
The adoption of Web 2.0 tools in teaching and learning by in-service secondary school teachers: the Mauritian context.
(2018)With the current rapid increase in use of Web 2.0 tools by students, it is becoming necessary for teachers to understand what is happening in this social networking phenomenon, so that they can better understand the new ... -
Network intrusion detection using genetic programming.
(2018)Network intrusion detection is a real-world problem that involves detecting intrusions on a computer network. Detecting whether a network connection is intrusive or non-intrusive is essentially a binary classification ... -
Meta-analysis with application to estimating combined estimators of effect sizes in biomedical research.
(2018)Meta-analysis is a statistical analysis that combines results from different independent studies. In meta-analysis a number of statistical methods are currently used for combining effect sizes of different studies. The ... -
Modelling the physical dynamics of estuaries for management.
(1996)South African estuaries are characterised by highly variable inflows owing to the semi-arid nature of the land mass which they drain. The interaction of this variability with that of the marine environment (seasonality, ... -
A numerical study of entropy generation, heat and mass transfer in boundary layer flows.
(2018)This study lies at the interface between mathematical modelling of fluid flows and numerical methods for differential equations. It is an investigation, through modelling techniques, of entropy generation in Newtonian ... -
Bayesian spatial modeling of malnutrition and mortality among under-five children in sub-Saharan Africa.
(2019)The aim of this thesis is to develop and extend Bayesian statistical models in the area of spatial modeling and apply them to child health outcomes, with particular focus on childhood malnutrition and mortality among ... -
Bayesian modelling of non–gaussian time series of serve acute respiratory illness.
(2019)Respiratory syncytial virus (RSV), Human metapneumovirus (HMPV) and Influenza are some of the major causes of acute lower respiratory tract infections (ALRTI) in children. Children younger than 1 year are the most ... -
Automated design of genetic programming of classification algorithms.
(2018)Over the past decades, there has been an increase in the use of evolutionary algorithms (EAs) for data mining and knowledge discovery in a wide range of application domains. Data classification, a real-world application ... -
An assessment of modified systematic sampling designs in the presence of linear trend.
(2017)Sampling is used to estimate population parameters, as it is usually impossible to study a whole population, due to time and budget restrictions. There are various sampling designs to address this issue and this thesis ... -
Spatial and spatio-temporal modeling and mapping of self-reported health among individuals between the ages of 15-49 years in South Africa.
(2019)Self-reported health has been commonly used as a measure of individuals health in public health studies. Health presents a complete physical, emotional, and social well-being. It also plays an important role in the ... -
Adjusting the effect of integrating antiretroviral therapy and tuberculosis treatment on mortality for non-compliance : an instrumental variables analysis using a time-varying exposure.
(2018)In South Africa and elsewhere, research has shown that the integration of antiretroviral therapy (ART) and tuberculosis (TB) treatment saves lives. The randomised controlled trials (RCTs) which provided this compelling ... -
Statistical models to study the BMI of under five children in Ethopia.
(2018)Maternal and child malnutrition has long and short-term consequences on the health status of the people and on the country’s economy. It is among the major public health problems in Ethiopia. Worldwide, maternal and child ... -
On paired decoupled quasi-linearization methods for solving nonlinear systems of differential equations that model boundary layer fluid flow problems.
(2018)Two numerical methods, namely the spectral quasilinearization method (SQLM) and the spectral local linearization method (SLLM), have been found to be highly efficient methods for solving boundary layer flow problems that ...
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