• 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 ...
• 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 ...
• 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 ...
• Exploring COVID-19 public perceptions in South Africa through sentiment analysis and topic modelling of Twitter posts 

  Kekere, Temitope; Marivate, Vukosi; Hattingh, Maria J. (Marie) (Learning Information Networking and Knowledge (LINK) Centre, Graduate School of Public and Development, 2023)

  The narratives shared on social media during a health crisis such as COVID-19 reflect public perceptions of the crisis. This article provides findings from a study of the perceptions of South African citizens regarding ...
• Neural network crossover in genetic algorithms using genetic programming 

  Pretorius, Kyle; Pillay, Nelishia (Springer, 2024-06)

  The use of genetic algorithms (GAs) to evolve neural network (NN) weights has risen in popularity in recent years, particularly when used together with gradient descent as a mutation operator. However, crossover operators ...
• A genetic programming approach to the automated design of CNN models for image classification and video shorts creation 

  Kapoor, Rahul; Pillay, Nelishia (Springer, 2024-03)

  Neural architecture search (NAS) is a rapidly growing field which focuses on the automated design of neural network architectures. Genetic algorithms (GAs) have been predominantly used for evolving neural network architectures. ...
• Combating hate : how multilingual transformers can help detect topical hate speech 

  Srikissoon, Trishanta; Marivate, Vukosi (Easychair, 2023)

  Automated hate speech detection is important to protecting people’s dignity, online experiences, and physical safety in Society 5.0. Transformers are sophisticated pre-trained language models that can be fine-tuned for ...
• Regularised feed forward neural networks for streamed data classification problems 

  Ellis, Mathys; Bosman, Anna Sergeevna; Engelbrecht, Andries P. (Elsevier, 2024-07)

  Streamed data classification problems (SDCPs) require classifiers to not just find the optimal decision boundaries that describe the relationships within a data stream, but also to adapt to changes in the decision boundaries ...
• Application of deep reinforcement learning in asset liability management 

  Wekwete, Takura Asael; Kufakunesu, Rodwell; Van Zyl, A.J. (Gusti) (Elsevier, 2023-11)

  Asset Liability Management (ALM) is an essential risk management technique in Quantitative Finance and Actuarial Science. It aims to maximise a risk-taker’s ability to fulfil future liabilities. ALM is especially critical in ...
• Technology-enhanced learning, data sharing, and machine learning challenges in South African education 

  Combrink, Herkulaas MvE; Marivate, Vukosi; Masikisiki, Baphumelele (MDPI, 2023-04-24)

  The objective of this paper was to scope the challenges associated with data-sharing governance for machine learning applications in education research (MLER) within the South African context. Machine learning applications ...

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