“They Steal Our Jobs”: An analysis of Group Threat Theory toward immigrants. A case study of South Africa and the European Refugee Crisis

Researcher: Yasmin Sizwe, University of the Witwatersrand, JohannesburgSupervisors: Professor Rod Alence, University of the Witwatersrand, Johannesburg This research will be testing the theory of group threat which hypothesizes that economic conditions and immigrant populations are the main influences of negative perceptions towards immigrants in host countries. This

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Reviews & Ratings: Do they match?

Researcher: Olatomiwa Akinlaja, Sol Plaatje UniversitySupervisor: Dr M.S Mosia, Sol Plaatje University Reviews and ratings influence us every day. We have all experienced reviews and ratings in one form or the other, usually from the applications and online platforms that require us to leave a review based

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The Relationship Between Climate Change and Human Fertility

Researcher: Ayrton Altorio, University of the Witwatersrand, JohannesburgSupervisor: Prof. Nicole de Wet-Billings, University of the Witwatersrand, Johannesburg Climate change, as we know it, has been a key point of academic discussion for many decades. Throughout these years there has been scarce research interest directed towards the relationship

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Attention-based LSTM algorithm with ARIMA on wavelet denoised Bitcoin prices

Researcher: Ndamulelo Innocent Nelwamondo, University of the Witwatersrand, JohannesburgSupervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg The cryptocurrency market is recognized for its intense uncertainty and instability, and people are still searching for a reliable and convenient way to direct cryptocurrency trading. An overall of 4

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Event classification for gamma-hadron separation for H.E.S.S

Researcher: WandileLesejane, University of the Witwatersrand, JohannesburgSupervisor: Prof Nukri Komin, University of the Witwatersrand, Johannesburg The H.E.S.S is one of the best IACTs and is crucial for studying cosmic particles, particularly gamma induced particles. It is able todetect particles with energies ranging from tens of GeV to

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Customer churn prediction in telecoms industry using random forest

Researcher: Fortune Mhlanga, University of the Witwatersrand, JohannesburgSupervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, Johannesburg The telecommunications industry lose customers to their competitors daily in the world. The churning of customers always leads to reduced revenues. The need to create predictive models that would predict customers

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