Efficient spectrum use in cognitive radio networks using dynamic spectrum management

Get full text

ROLAND : a tool for the realistic optimisation of local access network design by Buffler, Simon

Get full text

A Volume of Fluid (VoF) based all-mach HLLC Solver for Multi-Phase Compressible Flow with Surface-Tension by Oomar, Muhammad Yusufali

Get full text

3D Scan Campaign Classification with Representative Training Scan Selection by Pocock, Christopher

Get full text

Acceleration of the noise suppression component of the DUCHAMP source-finder by Badenhorst, Scott James

“…Although this work focuses on 'desktop' hardware, the majority of the improvements developed are general enough to be used within other high performance computing models. …”
Get full text

Spline wavelet image coding and synthesis for a VLSI based difference engine by Marais, Patrick

Get full text

Developing locally relevant applications for rural South Africa : a telemedicine example by Chetty, Marshini

Get full text

Accelerated coplanar facet radio synthesis imaging by Hugo, Benjamin

“…When imaging over wider fields of view, and in particular using telescope arrays with long non-East-West components, significant distortions are introduced in the computed image. …”
Get full text

Leveraging big data resources and data integration in biology: applying computational systems analyses and machine learning to gain insights into the biology of cancers by Sinkala, Musalula

“…We aim to facilitate a multi-scale understanding of these high-dimensional biological data and the complexity of the relationships between the different data types taken from human tumours. …”
Get full text

Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells by Msipa, Sibongiseni Letticia

“…The aim of this study is to comparatively evaluate convolutional neural network (CNN) architectures and Transformer- based models for the multi-label classification of protein subcellular localization in eukaryotic cells, using large-scale immunofluorescence image datasets. …”
Get full text

Using technology and multimedia in Junior Secondary First Language creative writing skills development : new methodology to fit new literacies by Cupido, Josephine

Get full text

Modelling of mass transfer operations with artificial neural networks by Giles, Andre Egerton

Get full text

A multiobjective optimization model for optimal placement of solar collectors

Get full text
Get full text

Simulation-based optimisation of public transport networks by Nnene, Obiora Amamifechukwu

“…Automated Fare Collection (AFC) data from the MyCiTi BRT was used to create this plan. Lastly, the NSGA-II is used to search for an efficient set of network solutions, also known as a Pareto set or a non-dominated set in the context of Multi-objective Optimisation (MOO). …”
Get full text

Evaluation of vision-based robot control configurations for reconfigurable assembly by Steed, Clint Alex

Get full text

Parallel Monte-Carlo tree search in distributed environments by Christoph, Marc

Get full text

Evaluating a human-machine student intervention framework in higher education from legacy data

Get full text

Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

Get full text

High resolution multi-nuclear 1 and 2D NMR characterization of stannous halide complexes of Rh(I/III) in aqueous and non-aqueous solutions by Barkhuysen, Shani

Get full text

A Computational Study of CoCrFeNiTi High Entropy Alloys: Phase Diagrams, Thermodynamics, and Mechanical Properties from CALPHAD and First Principles by Anis, Geraldine

“…High entropy alloys (HEAs) are multi-component alloys, which are often defined as those consisting of at least 5 principal elements with concentrations ranging between 5 and 35 atomic weight percent (at.%). …”
Get full text
Get full text