Browsing Masters Degrees (Computer Science) by Title
Now showing items 39-58 of 81
-
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 ... -
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 ... -
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, ... -
Irenbus - a real-time machine learning based public transport management system.
(2020)The era of Big Data and the Internet of Things is upon us, and it is time for developing countries to take advantage of and pragmatically apply these ideas to solve real-world problems. As the saying goes, "data is the ... -
Model and solutions to campus parking space allocation problem.
(2013)Parking is considered a major land use challenge in campus planning. The problem can be in terms of scarcity (few available spaces compared to demand) or management (ineffi cient usage of available facilities). Many ... -
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 ... -
Neural network assisted software engineered refractive fringe diagnostic of spherical shocks.
(1996)A shock is essentially a propagating variation in the pressure or density of a medium. If the medium is transparent, such as air, and the shock radially symmetric, the refractive fringe diagnostic can be used to examine ... -
On case representation and indexing in a case-based reasoning system for waste management.
(1997)Case-Based Reasoning is a fairly new Artificial Intelligence technique which makes use of past experience as the basis for solving new problems. Typically, a case-based reasoning system stores actual past problems and ... -
On common fixed points approximation of countable families of certain multi-valued maps in hilbert spaces.
(2017)Fixed point theory and its applications have been widely studied by many researchers. Di erent iterative algorithms have been used extensively to approximate solutions of xed point problems and other related problems ... -
On modeling and optimisation of air Traffic flow management problem with en-route capacities.
(2016)The air transportation industry in the past ten years witnessed an upsurge with the number of passengers swelling exponentially. This development has seen a high demand in airport and airspace usage, which consequently ... -
On the performance of metaheuristics for the blood platelet production and inventory problem.
(2016)Abstract available in PDF file. -
On the sample consensus robust estimation paradigm: comprehensive survey and novel algorithms with applications.
(2016)This study begins with a comprehensive survey of existing variants of the Random Sample Consensus (RANSAC) algorithm. Then, five new ones are contributed. RANSAC, arguably the most popular robust estimation algorithm in ... -
The open health information mediator : an architecture for enabling interoperability in low to middle income countries.
(2015)Interoperability and system integration are central problems that limit the effective use of health information systems to improve efficiency and effectiveness of health service delivery. There is currently no proven ... -
Optimized deep learning model for early detection and classification of lung cancer on CT images.
(2022)Recently, researchers have shown an increased interest in the early diagnosis and detection of lung cancer using the characteristics of computed tomography (CT) images. The accurate classification of lung cancer assists ... -
Packing problems on a PC.
(1991)Bin packing is a problem with many applications in various industries. This thesis addresses a specific instance of the this problem, known as the Container Packing problem. Special attention is paid to the Pallet Loading ... -
A patch-based convolutional neural network for localized MRI brain segmentation.
(2020)Accurate segmentation of the brain is an important prerequisite for effective diagnosis, treatment planning, and patient monitoring. The use of manual Magnetic Resonance Imaging (MRI) segmentation in treating brain medical ... -
Planarity testing and embedding algorithms.
(1990)This thesis deals with several aspects of planar graphs, and some of the problems associated with non-planar graphs. Chapter 1 is devoted to introducing some of the fundamental notation and tools used in the remainder of ...