• Misinformation detection : a review for high and low resource languages 

  Rananga, Seani; Modupe, Abiodun; Isong, Abiodun; Marivate, Vukosi (Universitas Bina Darma, 2024-12)

  The rapid spread of misinformation on platforms like Twitter, and Facebook, and in news headlines highlights the urgent need for effective ways to detect it. Currently, researchers are increasingly using machine learning ...
• Optimizing power allocation for URLLCD2D in 5G networks with Rician fading channel 

  Muhammad, Owais; Jiang, Hong; Bilal, Muhammad; Mushtaq, Muhammad Umer (PeerJ Inc., 2025-02)

  The rapid evolution of wireless technologies within the 5G network brings significant challenges in managing the increased connectivity and traffic of mobile devices. This enhanced connectivity brings challenges for base ...
• Advances in energy harvesting for sustainable wireless sensor networks : challenges and opportunities 

  Mushtaq, Muhammad Umer; Venter, H.S. (Hein); Singh, Avinash; Owais, Muhammad (MDPI, 2025-03)

  Energy harvesting wireless sensor networks (EH-WSNs) appear as the fundamental backbone of research that attempts to expand the lifespan and efficiency of sensor networks positioned in resource-constrained environments. ...
• Cognitive strategies for UAV trajectory optimization : ensuring safety and energy efficiency in real-world scenarios 

  Mushtaq, Muhammad Umer; Venter, H.S. (Hein); Muhammad, Owais; Shafique, Tamoor; Awwad, Fuad A.; Ismail, Emad A.A. (Elsevier, 2025-03)

  Many sectors in aerial transportation use unmanned aircraft vehicles (UAVs) extensively. This becomes even more challenging in complex environments where not only it is required to avoid obstacles, but it also must be ...
• Examination of customized questioned digital documents 

  Adedayo, Oluwasola Mary; Olivier, Martin S. (Wiley, 2025-03)

  With the increasing trend of digitization of business processes and personal communication across the globe, digital documents of intrinsic value continue to be created. Whereas the questioned document examination (QDE) ...
• Multi-objective evolutionary neural architecture search for recurrent neural networks 

  Booysen, Reinhard; Bosman, Anna (Springer, 2024-06-18)

  Artificial neural network (NN) architecture design is a nontrivial and time-consuming task that often requires a high level of human expertise. Neural architecture search (NAS) serves to automate the design of NN ...
• Data fingerprinting and visualization for AI-enhanced cyber-defence systems 

  Klopper, Christiaan; Eloff, Jan H.P. (Institute of Electrical and Electronics Engineers, 2024-10)

  Artificial intelligence (AI)-assisted cyber-attacks have evolved to become increasingly successful in every aspect of the cyber-defence life cycle. For example, in the reconnaissance phase, AI-enhanced tools such as MalGAN ...
• Fine-tuning retrieval-augmented generation with an auto-regressive language model for sentiment analysis in financial reviews 

  Mathebula, Miehleketo; Modupe, Abiodun; Marivate, Vukosi (MDPI, 2024-12)

  Sentiment analysis is a well-known task that has been used to analyse customer feedback reviews and media headlines to detect the sentimental personality or polarisation of a given text. With the growth of social media ...
• Training feedforward neural networks with Bayesian hyper-heuristics 

  Schreuder, Arné; Bosman, Anna Sergeevna; Engelbrecht, Andries P.; Cleghorn, Christopher W. (Elsevier, 2025-01)

  The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means of a high-level probabilistic-based ...
• ChatGPT as a text annotation tool to evaluate sentiment analysis on South African financial institutions 

  Mathebula, Miehleketo; Modupe, Abiodun; Marivate, Vukosi (Institute of Electrical and Electronics Engineers, 2024-09)

  Social media platforms play a significant role in analyzing customer perceptions of financial products and services in today’s culture. These platforms facilitate the immediate and in-depth sharing of thoughts and ...
• Exploring cross-lingual learning techniques for advancing Tshivenda NLP coverage 

  Nemakhavhani, Ndamulelo (University of Pretoria, 2023-06)

  The information age has been a critical driver in the impressive advancement of Natural Language Processing (NLP) applications in recent years. The benefits of these applications have been prominent in populations with ...
• Learning industrial descriptions : NLP tasks for acronym expansion 

  Johnson, Shaun (University of Pretoria, 2024-02)

  The human language is cryptic since words can be interpreted differently based upon the context within which they occur. The exact meaning of a particular word in its context might be trivial for humans who are generally ...
• Sentiment analysis using unsupervised learning for local government elections in South Africa 

  Matloga, Mokgadi Penelope (University of Pretoria, 2023-11)

  Understanding public sentiment is vital for political parties in order for them to be able to structure their election campaigns around voter expectations. The study focuses on unsupervised learning to assess the variation ...
• Analysing public transport user sentiment 

  Myoya, Rozina L. (University of Pretoria, 2024)

  In many Sub-Saharan countries, the advancement of public transport is frequently overshadowed by more prioritised sectors, highlighting the need for innovative approaches to enhance both the Quality of Service (QoS) and ...
• Using NER and Doc2Vec to cluster South African criminal cases 

  Nchachi, Carel Kagiso (University of Pretoria, 2021)

  The judicial system is the central pillar of law and order across the world. It is re- sponsible for maintaining order amongst citizens and also solving litigations that arise. Although this system has worked quite well, ...
• An investigation of the effectiveness of using Twitter data for predicting South African protests with Graph Neural Networks 

  Ngomane, Derwin (University of Pretoria, 2024-04)

  Social media creates an echo chamber effect that is closely related to social movement theory, which aims to mobilise people to change society. In South Africa, there has been an increase in protests that appear to have ...
• On the transparency of large AI models 

  Wang, Wanying; Wang, Ge; Marivate, Vukosi; Hufton, Andrew L. (Cell Press, 2023-07)

  As large AI models demonstrate increasingly human-like performance on complex tasks, many scientists are developing or adapting these models to empower their research and applications. Because of the substantial costs ...
• Real-time task schedulability analysis via spotlight abstraction 

  Nxumalo, Madoda (University of Pretoria, 2023-12-08)

  The schedulability analysis of real-time systems is challenged by the state space complexity of such systems. It is difficult to develop concrete state space models that can be used to verify the schedulability of real-time ...
• Denoising diffusion post-processing for low-light image enhancement 

  Panagiotou, Savvas; Bosman, Anna (Elsevier, 2024-12)

  Low-light image enhancement (LLIE) techniques attempt to increase the visibility of images captured in low-light scenarios. However, as a result of enhancement, a variety of image degradations such as noise and color bias ...
• Using distributed ledger technology for digital forensic investigation purposes on tendering projects 

  Ramazhamba, T.P.; Venter, H.S. (Hein) (Springer, 2023-03-09)

  The South African Local Government (SALG) uses the tendering system to procure goods and services. Some of these tendering projects are aimed at promoting socio-economic and industrial policies. Hence, the tendering system ...

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