• Construction of designs and codes invariant under the group PSp4 (q), where q is a prime power 

  Mokalapa, Clarence Kareana (2025)

  In this thesis, we aim to construct some designs and their codes from the projective symplectic group PSp4(q), where “q” is a prime power. We study the primitive permutation representations and conjugacy classes of ...
• Development of a Sepedi-English code-switching automatic speech recognition system using connectionist temporal classification 

  Phaladi, Amanda (2025)

  Speech technology includes several approaches and technologies that allow ma- chines to engage with spoken language, which include spoken dialog systems and automatic speech recognition. The end-to-end (E2E) techniques, ...
• Analysing the explainability of credit scoring machine learning models using Shapley Additive Explanations approach 

  Thoka, Merriam Ramakgahlele (2025)

  In recent years, machine learning models have gained popularity in credit scoring applications due to their ability to handle large volumes of data and capture complex patterns. However, the lack of transparency and ...
• Development of an end-to-end automatic speech recognition system using connectionist temporal classification for the Tshivenda language 

  Mehlape, Jonas Mosweu (2025)

  This study centers on creating an automatic speech recognition (ASR) system for Tshivenda, one of South Africa's under-resourced languages. Utilizing the Connectionist Temporal Classification (CTC) framework and the NCHLT ...
• Developing a code-mixed sentiment analysis model for Xitsonga-English music review 

  Nkuna, Blessing (2025)

  Sentiment analysis is an essential natural language processing technique for monitoring online discussions about brands, products, and services. Traditionally focused on monolingual data, sentiment analysis has now expanded ...
• Bayesian modelling of malaria cases through the elicitation of prior distribution 

  Sehlabana, Makwelantle Asnath (2025)

  Climate change plays a critical role in shaping both the geographic spread and intensity of malaria outbreaks. Recent research demonstrates that climaterelated factors surpass epidemiological, socio-economic, and ...
• Statistics of extremes with application to extreme floods in Kwazulu Natal Province, South Africa 

  Lutombo, Hulisani (2025)

  Extreme rainfall has become a prevailing natural disaster in the region of Southern Africa. Flooding is one of the natural disasters that pose damage to property, infrastructure, and human lives. This study conducted a ...
• The development of a text generation model for Sepedi language using transformer-based machine-learning techniques 

  Moila, Mahlodi Mercy (2025)

  The transformer-based machine learning technique is a deep learning model that processes the sequential input data using an encoder-decoder process. Transformers process the input data simultaneously using a parallelism ...
• Early detection of breast cancer using machine learning 

  Baloyi, Vekani Reviet (2025)

  Recent developments in artificial intelligence have allowed significant gains in computer vision, cybersecurity, e-Commerce, and healthcare through the application of machine learning and deep learning models. A plethora ...
• Detection of metabolic disorders for African women in a rural South African setting : a case of Ga-Dikgale Limpopo Province, South Africa 

  Phaho, Mmalehu Francin (2024)

  The waist circumference cut-off point for diagnosing metabolic syndrome in Sub-Saharan Africa is based on standards established for European populations. The purpose of this study was to determine the prevalence of ...
• The development and implementation of anomaly-based man-in-the- middle intrusion detection system with an improved ensemble modelling scheme in domain name server and edgecomputing 

  Moila, Ramahlapane Lerato (2025)

  Technology is evolving at a rapid pace and its role in adding value to businesses around the world has come sharply into focus. Due to this rapid growth of devices, the centralised cloud is now experiencing significant ...
• Designing a secure access network technique to mitigate the impact of distributed denial of service attacks on mobile edge computing 

  Ramaleba, Mmaloto Joseph (2024)

  Mobile Edge Computing (MEC) enhances networking technology by bringing computing and storage close to end users. However, this advancement introduces security challenges, particularly its susceptibility to Distributed ...
• Atomistic simulation studies for pentlandite and pentlandite-like systems and density functional theory surface studies of pentlandite doped with platinum group elements (Ru, Rh, Pd, Os, Ir, Pt) 

  Molala, Kgwajana Barnard (2024)

  The aim of the study was to investigate the stability of pentlandite (Fe,Ni)9S8 and Mn, Co, Cu, Os, Pt, Ir, Ru, Rh and Pd on pentlandite (Fe,Ni)9S8 bulk using density functional theory (DFT) and explore the (FeNi)9S8 ...
• Application of survival analysis and machine learning models to age at first marriage among women in South Africa 

  Komane, Malahlane Magdaline (2024)

  Understanding factors influencing the age at first marriage is crucial for addressing social issues, promoting gender equality, and ensuring women’s wellbeing. This research aims to identify key determinants of age at ...
• Prognostic factors of survival time for breast cancer patients in Pietersburg Hospital in Limpopo Province of South Africa 

  Hlungwani, Collen (2024)

  The breast cancer metastasis in women had devastating disease throughout the world with patient goals aimed at improving quality of life and prolonged survival. Advanced treatments have been impressive for women with ...
• Predicting customer churn in telecom companies through a machine-learning approach 

  Khoza, Hlayisani Result (2024)

  The research inspects the application of machine learning approaches to forecasting customer attrition in telecommunication companies. Machine learning models such as extreme gradient boosting, random forest, k-nearest ...
• Performance evaluation of machine learning algorithms for intrusion detection 

  Ndleve, Nsovo Mildred (2024)

  In the cyber security domain, the increasing sophistication of attacks requires the development of improved detection techniques. This research looked at the usefulness of machine learning methods, especially Decision Tree, ...
• Statistical modelling and analysis of business ownership in South Africa 

  Sebola, Lepulana Sylvester (2024)

  Business owners play a vital role in the social and economic development of South Africa by providing employment and services to the country’s citizens. South African infrastructure and community services are maintained ...
• New estimators for cure rate models 

  Ramalata, Aluwani (2024)

  If study subjects are tracked long enough, it is a typical assumption in survival analysis that they will eventually experience the event of interest. However, that is not always the case. In reality, it is not uncommon ...
• Error-correcting codes from 2-representations of the unitary group U(3,3) 

  Nyikadzino, Tapiwanashe Gift (2024)

  In this dissertation, we use modular representation theory to find error-correcting codes admitting finite simple group as a primitive permutation group and show that every binary linear code admitting group G as a primitive ...

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