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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Aspects of simulated ant agents for creating an ant-inspired ontology

Researcher:  Shirindi Ntshuxeko, Sol Plaatje UniversitySupervisor: Dr Colin Chibaya, Sol Plaatje University A formal knowledge domain has not been well represented in earlier studies.  There has been a lack of a particular set of procedures required to produce an ant ontology.  To create an ant colony ontology, this work

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From Above the Sky to Below the Earth: Crop type classification using satellite imagery and deep learning

Researcher:  Yusuf Mansoor, University of the Witwatersrand, JohannesburgSupervisor: Prof Adam Elhadi, University of the Witwatersrand, Johannesburg Crop type mapping and classification is necessary for optimal cropland management. Remote sensing with satellite imagery has gained popularity due to the ease of accessibility and availability.  For this study deep learning neural

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Solving electricity crisis in SA

Researcher:  Kgothatso Makubyane, University of LimpopoSupervisor: Dr Caston Sigauke, University of Venda According to Council for Scientific and Industrial Research (CSIR), South Africa is experiencing the worse year of load shedding. However, the is a solution to this obstacle Renewable energy resources (Wind, Sun and Water). The primary subject

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Automatic Karyotyping using Image Semantic Segmentation to Separate Overlapping Chromosomes

Researcher:  Boineelo Sekori, Sol Plaatje UniversitySupervisors:  Dr Albert Whata, Sol Plaatje University This study aims to automate karyotyping to successfully separate the overlapping human chromosomes.  The objectives are as follows:1. Automate semantic segmentation task for separating overlapping chromosomes.2. Perform human karyotype chromosome segmentation using deep learning algorithms.3. Assessing

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An Investigation into the Design of Bee-inspired Swarm Intelligence Ontology

Researcher:  Mukhethwa Mulangaphuma, Sol Plaatje UniversitySupervisor: Dr Colin Chibaya, Sol Plaatje University Swarm robotics is an AI field focused on applying swarm intelligence paradigms and methodologies to groups of homogeneous robots to perform difficult tasks that individuals cannot.  Social insects and other living creatures inspire swarm robotics. This research

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Shutting it down: The Relationship between Regime Types and Internet Shutdowns during Elections

Researcher:  Nerissa Muthayan, University of the Witwatersrand, JohannesburgSupervisor:  Prof. Rod Alence, University of the Witwatersrand, Johannesburg The principles of democracy are crumbling, as the internet is becoming more censored.  Internet shutdowns during elections are detrimental to democracy and indicate a dangerous disregard for human rights and effective governance.  This

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Parallel Algorithm for Genotype Data

Researcher:  Taryn Michael, Sol Plaatje UniversitySupervisor:  Prof. Scott Hazelhurst, University of the Witwatersrand, Johannesburg Genotype data helps understand how genetic variations lead to genetic diseases This data is extremely large to store and analyze efficiently Thus, the PLINK format was introduced to save storage space.  This research implemented

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