• Reducion of a, B-alkynyl carbonyl compounds using SnCl2 and computational investigationof the reaction mechanism. 

  Ralepelle, Ursula (2023)

  The development of an efficient method for the reduction of α, β-alkynyl carbonyl compounds, is mostly important in organic synthesis, playing a crucial role in the synthesis of pharmaceuticals, pesticides, polymers, and ...
• Design and synthesis of quinoline-triazole schiff base metal complexes as potential anti-cancer agents 

  Mokoena, Terrinne Palesa (2023)

  The aim of the project was to synthesize quinoline-1,2,3-triazole Schiff base hybrids as promising anti-cancer agents. A laboratory prepared 2-Amino-3,5dibromoactophenone was subjected to Claisen-Schmidt aldol-condensation ...
• Efficient design towards highly selective low/self-powered gas sensor 

  Mamabolo, Mashaole Stuart (2023)

  The daily population activities linked to the emission of various hazardous gases that can be toxic, explosive, and flammable such as CO, H2S, SO2, NOx, CO2, and volatile organic compounds have a negative impact on human ...
• Development of machine learning models for predicting properties of sodium-ion battery materials 

  Monareng, Keletso Mabel (2023)

  In this work, machine learning regression techniques are applied to a large amount of data from Materials Project Database, to develop machine learning models capable of accurately predicting the properties of sodium-ion ...
• Degree of namatode residence in rosemary on meloidogyne specie and related mechanism of residence 

  Shalang, Lehlogonolo Quecious (2023)

  Tropical root-knot nematodes, Meloidogyne enterolobii, M. incognita and M. javanica, are highly damaging and difficult pests to manage in agricultural crops. The use of resistant cultivars had been the most promising ...
• Detection cerebrovascular disease in brain images using convolutional neural network 

  Sethibela, Lehlohonolo Bridget (2023)

  Cerebrovascular disease is the world's second major cause of mortality and disability, and the fourth major cause of mortality and disability in South Africa. Cerebrovascular disease occurs due to issues of the brain's ...
• Sarcasm detection in political speeches using recurrent neural networks 

  Mulaudzi, Thikho (2024)

  Sarcasm detection is a challenging task in natural language processing (NLP) that has received significant attention in recent years. Sarcasm is a form of indirect speech in which the speaker says the opposite of what ...
• Implementing learning-based (ML-based) hybrid model to mitigate distributed denial of service (DDoS) attacks in mobile edge computing (MEC) 

  Chaki, Emmanuel Sibusiso (2023)

  5G technology constitutes a considerable part of solving the problem of security in mobile communications. Multi-Access Edge Computing or mobile edge computing (MEC) extends the capabilities of cloud computing by locating ...
• Competitiveness of the South Africa citrus fruit industry relative to it's Southern Hemisphere counterparts from 1989 to 2019 

  Mokonyane, Lefa Given (2024)

  The citrus fruit industry holds a significant position within South Africa's agricultural sector due to its labour-intensive and export-oriented practices. However, this industry faces growing competition not only on a ...
• Seed germination and seedling development of Jatropha Zeyheri :an indigenous tea plant in Limpopo Province of South Africa 

  Lehlokoa, Bertha Mogaleadi (2023)

  Indigenous teas are receiving much attention and global interest as a result of their nutraceutical and pharmaceutical benefits. Most of these tea plants are still collected from the wild and their domestication has become ...
• Interactive effect of maturity stages and fruit accessions on primary and secondary metabolites profile of Mimusops zeyheri sond 

  Teffo, Kamogelo Pollen (2024)

  Mimusops zeyheri Sond is a member of the Sapotaceae Family and it is an undervalued or unappreciated indigenous fruit tree consumed raw as a healthful snack in rural communities across Sub-Saharan Africa. It is known for ...
• Synthesis of imidazopyridazine and pyrazolopyrimidine derivatives as potential inhibitors of Plasmodium kinases P14K and PKG 

  Mabatamela, Lebogang Frans (2023)

  Malaria is a disease that is caused by various Plasmodium species, with Plasmodium falciparum and vivax being the most prevalent. The disease is usually mostly severe in pregnant women and children under the age of five. ...
• The perception of emerging cattle farmers on extension and advisory services in improving the welfare of their cattle in Sinthumule-Kutama Areas of Makhado Municipality in Vhembe District, in Limpopo Province 

  Thononda, Muano (2023)

  The study was carried to find out the perceptions that emerging cattle farmers hold regarding the importance of agricultural extension, the role and the impact of extension advisors in improving the welfare of their ...
• Enhenced gas sensing perfomance induced by CuO-ZnO heterostructure towards NO2 gas 

  Maebana, Lekgolo Malesela (2023)

  The selective detection of gaseous benzene, toluene, ethylbenzene, and xylene (BTEX) is challenging due to their similar molecular structures. In addition, BTEX vapours are extremely hazardous and carcinogenic. Thus, ...
• Multi-scale modelling of oxide-based solid state battery 

  Maphoto, Refiloe Innocencia (2023)

  The oxide garnet Li7La3Zr2O12 (LLZO) exhibits high Li-ion conductivity and chemical stability when in contact with lithium metal anodes, making it a promising solid electrolyte for Li-based batteries. The tetragonal ...
• Characterisation and propagation of hibiscus coddii subsp. barnardii, an indigenous plant with ornamental potential from Sekhukhuneland, Limpopo Province, South Africa 

  Du Plessis, Helena Jacoba (2020)

  South Africa is known globally for its rich floral biodiversity. A number of the country’s indigenous plants are commercialised and grown worldwide. An increased interest in growing drought-tolerant plants due to limited ...
• Insurance fraud detection using extreme gradient boosting and random forest algorithms 

  Mabunda, Judith Goodness Khanyisa (2023)

  The rising amount of fraud in claims has been of great concern to the insurance companies. In this research work, we developed two machine learning models namely, Extreme Gradient Boosting (XGBoost) and Random Forest for ...
• An analysis of the relationship between exports and economic growth in South Africa, 2000-2020 

  Ramakgasha, Molobe Joyce (2024)

  Since 1994, the South African government has prioritised rapid economic growth. Despite theorists’ contradicting views, the country considered the global market as one of the gateways to accelerated economic growth. In the ...
• Detecting and mitigating the distributed denial of service attacks in software defined networks using machine learning approach - the integrated random forest and K-nearest neighbours classifiers 

  Ledwaba, Matlala (2023)

  Distributed Denial of Service (DDoS) attacks present substantial risks to network availability and stability, especially within the realm of Software Defined Networks (SDNs). Inventive and efficient detection and mitigation ...
• An assessment of domestic greywater reuse : a case study of Ga-Thoka Village in Polokwane Local Municipality, South Africa 

  Sekgobela, Mokitlana Rinkie (2023)

  South Africa is a water scarce country, the 30th driest in the world. Certain parts of the country have been experiencing severe droughts since 2015. The study titled: An assessment of domestic greywater reuse: A case ...

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