Applying Machine Learning to Gamma-Hadron Separation in Gamma-Ray Astronomy

Researcher: Johannah Moepi, University of the Witwatersrand, JohannesburgSupervisor: Professor Nukri Komin, University of the Witwatersrand, Johannesburg With two types of EAS produced, the IACT’s detect both of them including the background events.As such the IACT’s requires sophisticated image analysis that can be trained to distinguish gamma rays

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Stock Market Forecasting using Wavelet Neural Networks

Researcher: Kgaugelo Mphahlele, University of The Witwatersrand, JohannesburgSupervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg Wavelet Neural Networks were inspired by neural networks as well as wavelet decomposition, and as such Zhang and Beneveniste sort to combine the two concepts. This particular network is often used

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Of Tigers and Lions: Exploring Sino-African Aid relations in Sub-Saharan Africa

Researcher: Elishua Ngoma, University of The Witwatersrand, JohannesburgSupervisor: Professor Rod Alence, University of the Witwatersrand, Johannesburg Over the past two decades Sino-Africa bilateral and multilateral relations have increased at a tremendous rate. Resulting in China becoming the largest trading partner of many African countries. China’s ever-growing economy

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Wind Speed Forecasting Using Long Short-Term Memory (LSTM) Networks

Researcher: Sindisiwe Zulu, University of the Witwatersrand, JohannesburgSupervisor: Mr Rendani Mbuvha, University of the Witwatersrand, Johannesburg Wind energy is seen as the next promising renewable energy to be used for future power generation. The stochastic wind behavior has resulted in the development of improved wind forecasting techniques.

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Credit Card Fraud Detection using Machine Learning

Researcher: Seleme Shoky, University of VendaSupervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg Each year credit card fraud is growing significantly with the advancements of technology resulting in extreme losses to those affected. We build ML model to detect fraudulent activity in credit card transaction systems.

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Understanding The Jet Activities In Association With The Dileptons Using Machine Learning Techniques With The Use Of The ATLAS Detector At LHC

Researcher: Mashaka Molepo, University of VendaSupervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg The use of neural networks as sources for the study in Monte Carlo simulation for the detection of hadronic -decay w boson including strong jet quacks [1]. The need for data science algorithms

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