Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

“…The best performing models are tested and compared for accuracy, speed and robustness for pricing and calibration. …”
Get full text

A comparative study of recurrent neural networks and statistical techniques for forecasting the stock prices of JSE-listed securities by Galant, Rushin

“…The number of input observations utilised were varied from four to fifteen observations whilst making forecasts from one up to ten timesteps into the future. …”
Get full text

Metaheuristics for the selection and scheduling of jobs with time-dependent durations by Le Roux, Gavin James

Get full text

Operational scheduling and investigative planning for electric public transport in South Africa by Wüst, Jacques

Get full text

2D irregular strip packing at Kohler signs by Bossenger, Wayne

Get full text

A decision support framework for machine learning applications by Du Preez, Anli

Get full text

Generating new data points using singular value decomposition by Biyana, Tlhologello

“…Motivated by challenges faced during algorithm development due to small data sets, the study proposes the SVD-based model, evaluates its efficacy in replicating original data attributes and compares model performance with new and original data. …”
Get full text

Variable selection for kernel methods with application to binary classification by Oosthuizen, Surette

Get full text

A generic computer vision human activity recognition tool. by Jacobs, Johannes Jacobus

Get full text

A computer vision framework towards automated scene understanding & analysis by De Greeff, Sarah-lee

Get full text

Extracting failure modes from unstructured, natural language text by Malan, Francina

Get full text

Geometric acceleration of complex chemical equilibrium calculations for inclusion in multiphysics and process models

Get full text

Mobile tolerant hybrid network routing protocol for wireless sensor networks

Get full text
Get full text

Machine learning and high spatial resolution multi-temporal Sentinel-2 imagery for crop type classification by Maponya, Mmamokoma Grace

Get full text

Solving sparse-reward problems in partially observable 3D environments using distributed reinforcement learning by Louw, Jacobus Martin

Get full text

Determining optimal primary sawing and ripping machine settings in the wood manufacturing chain by Lindner, Berndt Gerald

Get full text

Roadmakers pavage, pulse reformation framework and image segmentation in the discrete pulse transform

Get full text

Extreme value-based novelty detection by Steyn, Matthys Lucas

Get full text

Development of a wayside monitoring system for rail wheel defect detection using thermography and dynamic measurements by Lubbe, Enrico

Get full text

A generic optimisation framework for reinforcement learning in the foreign exchange market by De Wit, John Spencer

Get full text