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Effect of sampling on accuracy assessment in remote sensing

Researcher: Tshepiso Rangongo, University of PretoriaSupervisor: Renate Thiede and Dr Inger Fabris-Rotelli, University of Pretoria Remote sensing (RS) is the process of obtaining information about something without making physical contact with it.  Remote sensing images are processed to help identify areas. This process is known as land cover image classification.  There

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Risk reduction in mining projects using Kriging and Gaussian Simulation

Researcher: Shalati Baloyi, University of the Witwatersrand, JohannesburgSupervisor: Prof. Glen Nwaila, University of the Witwatersrand, Johannesburg Mining companies are subject to high risk and uncertainty caused by an underestimation or overestimation of mineral resources. Over the years, various techniques have been implemented to estimate mineral resources. This research

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A comparative study of Investor sentiment index and machine learning techniques in forecasting asset prices

Researcher: Sizo Mosibi, University of the Witwatersrand, JohannesburgSupervisor: Prof. Yudhvir Seetharam, University of the Witwatersrand, Johannesburg Predicting future asset prices with higher accuracy has remained a formidable undertaking. Series of techniques have been developed and implemented to attain the intended result, and significant progress has been made.

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Why does data on election violence only include fatal incidents?

Researcher:  Stuart Morrison, University of the Witwatersrand, JohannesburgSupervisor: Prof, Rod Alence, University of the Witwatersrand, Johannesburg In this work I seek to understand the effect that fatalities have on the accuracy of election violence datasets, by asking “what happens to the quality of the dataset if we

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Uncertainty Quantification in Global PGM Production using Stochastic and Machine Learning Forecasting Algorithms

Researcher: Kelly Langa, University of the Witwatersrand, JohannesburgSupervisor: Prof. G Nwaila, University of the Witwatersrand, Johannesburg Uncertainty Quantification in Global PGM Production using Stochastic and Machine Learning Forecasting Algorithms.  The applications of platinum group metals (PGMs) are innumerable and stretch across multiple industries due to their mechanical

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Studies In Supervised Machine Learning for Stock Price Prediction

Researcher: Costa Muthai, University of VendaSupervisor: Dr Martins Aramsowna, University of Venda Internet and Web technologies of today not only enable students to interact more freely with educational resources, friends, and teachers, but they also produce enormous amounts of application data that can be assessed to reveal

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Volatility estimate of Telkom shares under GARCH models

Researcher:  Wandile Nhlapho, University of VendaSupervisor: Dr Jean-Claude Ndogmo, University of Venda The study compares the performance of the ARCH (1) and GARCH (1,1) models in estimating and forecasting the volatility of Telkom share prices.  The Telkom shares are estimated using daily data and the above-mentioned volatility models. We

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Battery as the source of energy

Researcher:  Mbabala Tshimangadzo, University of VendaSupervisors: Dr. N.E Maluta , Prof. R.R Maphanga Mr. R.S Dima, University of Venda There is an increase shortage of energy supply and storage, with the human population and fuel price increasing exponentially this increases the demand of energy supply. Considering battery as the

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