Department of Applied Mathematics
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Video classification using deep learning
(Stellenbosch : Stellenbosch University., 2020-03)ENGLISH ABSTRACT: To help analyse, classify, and monitor video data we need scalable algorithms that can handle video sequences of various lengths. Existing approaches tend to be both computationally expensive and ... -
Applications of natural language processing for low-resource languages in the healthcare domain
(Stellenbosch : Stellenbosch University., 2020-03)ENGLISH ABSTRACT: Since 2014 MomConnect has provided healthcare information and emotional support in all 11 official languages of South Africa to over 2.6 million pregnant and breastfeeding women, via SMS and WhatsApp. ... -
Multitask learning and data distribution search in visual relationship recognition
(Stellenbosch : Stellenbosch University., 2020-03)ENGLISH ABSTRACT: An image can be described by the objects within it, as well as the interactions between those objects. A pair of object labels together with an interaction label can be assembled into what is known as ... -
Image and attribute based identification of Protea species
(Stellenbosch : Stellenbosch University., 2020-04)ENGLISH ABSTRACT: The flowering plant genus Protea is a dominant representative for the biodiversity of the Cape Floristic Region in South Africa, and from a conservation point of view important to monitor. The recent surge ... -
Automatic video captioning using spatiotemporal convolutions on temporally sampled frames
(Stellenbosch : Stellenbosch University., 2020-03)ENGLISH ABSTRACT: Being able to concisely describe content in a video has tremendous potential to enable better categorisation, indexed based-search and fast content-based retrieval from large video databases. Automatic ... -
Geometric versus kinetic modelling approach for characterizing porous metal foams
(WIT Press, 2019)Knowledge of the geometric and kinematic parameters of porous foams are of great importance since it is used in a wide variety of industrial multiphase flow applications that require optimal functionality, e.g. gas filters, ... -
Path planning for wheeled mobile robots using an optimal control approach
(Stellenbosch : Stellenbosch University, 2019-12)ENGLISH ABSTRACT: The capability and practical use of wheeled mobile robots in real-world applications have resulted in them being a topic of recent interest. These systems are most prevalent because of their simple ... -
Evaluating the effectiveness of neural network techniques in the forecasting of South African basic fuel prices
(Stellenbosch : Stellenbosch University, 2019-04)ENGLISH ABSTRACT : South Africa has a number of fuel grades available to consumers, one of the most popular being the 95 unleaded standard. The price of this fuel is comprised of many components including transport fees, ... -
Data-driven river flow routing using deep learning: predicting flow along the lower Orange river, Southern Africa
(Stellenbosch : Stellenbosch University, 2019-04)ENGLISH ABSTRACT : The Vanderkloof Dam, located on the Orange River, is responsible for the water supply to consumers along its 1 400 km reach up to where it flows into the Atlantic Ocean. The Vaal River, which joins the ... -
Ear-based biometric authentication
(Stellenbosch : Stellenbosch University, 2019-04)ENGLISH ABSTRACT : In this thesis novel semi-automated and fully automated ear-based biometric authentication systems are proposed. Within the context of the semiautomated system, a region of interest (ROI) that contains ... -
Computational modelling and optimal control of Ebola virus disease with non-linear incidence rate
(IOP Publishing, 2017)The 2014 Ebola outbreak in West Africa has exposed the need to connect modellers and those with relevant data as pivotal to better understanding of how the disease spreads and quantifying the effects of possible interventions. ... -
Minimum density hyperplanes
(Journal of Machine Learning Research, 2016)Associating distinct groups of objects (clusters) with contiguous regions of high probability density (high-density clusters), is central to many statistical and machine learning approaches to the classification of unlabelled ... -
Transcriptomic profile based cancer disease prediction and patient survival time differentiation
(Stellenbosch : Stellenbosch University, 2018-12)ENGLISH ABSTRACT : Cancer disease is an abnormal growth of cells, which may be caused by mutations in genes which, as a result, alter the way cells function mainly in the way they grow and divide. Cancer cells are regulated ... -
Systems level cancer disease target identification using tumor microenvironment dynamics
(Stellenbosch : Stellenbosch University, 2018-12)ENGLISH ABSTRACT : Cancer is the second driving reasons for death around the world. It is an abnormal growth of cells which can migrate and recreate cellular microenvironment and can also be caused by successive alterations ... -
Application of convolutional neural networks to building segmentation in aerial images
(Stellenbosch : Stellenbosch University, 2018-12)ENGLISH ABSTRACT : Aerial image labelling has found relevance in diverse areas including urban management, agriculture, climate, mining, and cartography. As a result, research efforts have been intensified to find fast ... -
Incompressible flow with variations in density
(Stellenbosch : Stellenbosch University, 2018-12)ENGLISH ABSTRACT : This study involves the investigation of incompressible flow with variable density. The fact that variable density does not necessarily imply that the flow is compressible, may require some clarification. ... -
Comparison of methods for solving Sylvester systems
(Stellenbosch : Stellenbosch University, 2018-12)ENGLISH ABSTRACT :This thesis serves as a comparative study of numerical methods for solving Sylvester equations, which are linear matrix equations of the form AX + XB + C = 0. These equations have important applications ... -
Hand vein-based biometric authentication with limited training samples
(Stellenbosch : Stellenbosch University, 2018-03)ENGLISH ABSTRACT : A number of novel hand vein-based biometric authentication systems are proposed. Said systems are non-intrusive and may for example assist with user authentication at automated teller machines. An ... -
Short-term stream flow forecasting and downstream gap infilling using machine learning techniques
(Stellenbosch : Stellenbosch University, 2018-03)ENGLISH ABSTRACT : Stream flow is an important component in the hydrological cycle and plays a vital role in many hydrological applications. Accurate stream flow forecasts may be used for the study of various hydro-environmental ... -
Automated elephant detection and classification from aerial infrared and colour images using deep learning
(Stellenbosch : Stellenbosch University, 2018-03)ENGLISH ABSTRACT : In this study we attempt to detect and classify elephants in aerial images using deep learning. This is not a trivial task even for a human since elephants naturally blend in with their surroundings, making ...
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