Our Research
Using discrete emotions and review discrepency to predict the helpfulness of mobile app reviews
Supervisor: Dr S. Verkijika, University of the Witwatersrand, …
Safe urban futures: exploring the nexus between urban safety and quality of life in South African cities
Supervisor: Helen Sarah Robertson, University of the Witwatersrand, …
Temporal Dependency Modeling in Financial Markets
Supervisor: Dr. Walter Mudzimbabwe, University of the Witwatersrand, …
Comparison of ensemble nlearning and neural network models for default risk analysis: a reproduction study
Supervisor: Assoc. Prof. YudhvirSeetharam, University of the Witwatersrand, …
Email monitoring system using machine learning
Supervisor: Dr Ibidun Obagbuwa, University of the Witwatersrand, Johannesburg This …
Effective evaluation methods of statistical and machine learning survival models
Supervisor: Prof Justine Nasejje, University of the Witwatersrand, Johannesburg …
Harnessing Wind’s Potential: Can It Energize Tomorrow?
Supervisor: Prof C. Sigauke, University of the Witwatersrand, Johannesburg …
Ever wondered what to use to make the right investment decision?
Supervisor: Dr Martins Arasomwan, University of the Witwatersrand, …
Customer segmentation using the self-organizing map and its variants
Supervisor: Dr Martins Arasomwan, University of the Witwatersrand, …
Automatic pothole detection
Supervisor: Dr. Michael Olusanya , Sol Plaatje University This …
Classification Problems Within Particle Physics
Supervisor: Prof Prince Ntimeni The Higgs boson, a …
Predicting the probability of customer churn using deep survival models
Supervisor: Dr. M. Arasomwan …
Application of Support Vector Regression in South AfricanStock Price Prediction with Feature Selection Using Principal Component Analysis
Supervisor: Dr. M. Arasomwan …
Assessing the impact of climate variability on wheat yield in Bloemfontein
Supervisor: Dr Ibidun Obagbuwa Bloemfontein, a city, where wheat has …
Market Demand Forecasting: Analyzing Amazon Sales using Machine learning
Supervisor: Dr Martins Arosamwan, University of the Witwatersrand, Johannesburg The …
Comparative study of ML algorithms in Credit Card Fraud Detection
Supervisor: Dr C. Obagbuwa Credit Card Fraud (CCF) hasbeen a worldwide conundrumresulting …
A New Frontier: Pseudo-Observation’s Role in Survival Analysis
Supervisor: Dr A Whata Survival analysis is a vital field in statistics, …
Classification Machine Learning Models for Datasets From Various Disciplines
Stock Market Forecasting Based on Political News and Sentimental Analysis Using Machine Learning Tools
Supervisors: Dr. Martins A. Arasomwan, University of the Witwatersrand, Johannesburg …
Beyond the blackouts: A data-driven solutions for South Africa’s electricity Crisis
Supervisors: Dr. Martins A. Arasomwan, University of the …
The own-race bias effect in South Africa
Supervisors: Dr Colin Tredoux, University of Cape Town …
Good Governance is the Driving Force for Participation Amongst IGO’s & TGI’s
Supervisor: Prof. Oliver Westerwinter, University of the Witwatersrand, …
Evaluating banking customer churn Deep Learning model (Deep Neural Network) in terms of explainability
Supervisor: Dr Hairong Bau, University of the Witwatersrand, Johannesburg In …
International Commitments and domestic enforcement against drugs
Supervisor: Dr Oliver Westerwinter, University of the Witwatersrand, Johannesburg State …
Climate Change and Agricultural Production in Developing Countries
Supervisor: Prof. Rod Alence, University of the Witwatersrand, Johannesburg
Agricultural development …
Application of Machine Learning Algorithms for Rainfall Forecasting in KwaZulu Natal Province, South Africa
Supervisor: Dr Ibidun Obagbuwa , Sol Plaatje University This study applied three …
Assessing Financing for Climate Change Mitigation and Adaptation for Developing Countries
Supervisor: Prof. Rod Alence, University of the Witwatersrand, Johannesburg In …
Prediction of breast cancer using machine learning algorithms
Supervisors: Prof. O. Olugbenga Breast cancer is a deadly disease mostly in …
Issuing of loans is associated with risks
Supervisor: Dr Hairong Bau, University of the Witwatersrand, Johannesburg Tree-based …
Regression Model Using Organic Solar Cells Materials
Supervisor: Dr R Maluta, University of Venda Our environment’s …
Determinants of Age at First Marriage Among Women in South Africa
Supervisor: Dr Alphonce Bere, University of Venda The study uses a recursive …
Does poverty cause terrorism?
Supervisor: Prof. Rod Alence, University of the Witwatersrand, Johannesburg This …
The Impact of Road Transport Infrastructure on Residential Real Estate Prices in the City of Johannesburg
Supervisor: Dr Babatunde Oluwayomi, University of the Witwatersrand, …
Does Entrepreneurial support influence entrepreneurial intentions in South Africa?
Supervisor: Prof. Rod Alence, University of the Witwatersrand, Johannesburg High …
Parallel Algorithm for Genotype Data
Supervisor: Prof. Scott Hazelhurst, University of the Witwatersrand, Johannesburg Genotype data …
Shutting it down: The Relationship between Regime Types and Internet Shutdowns during Elections
Supervisor: Prof. Rod Alence, University of the Witwatersrand, Johannesburg The …
An Investigation into the Design of Bee-inspired Swarm Intelligence Ontology
Supervisor: Dr Colin Chibaya, Sol Plaatje University Swarm robotics is an AI …
Automatic Karyotyping using Image Semantic Segmentation to Separate Overlapping Chromosomes
Supervisors: Dr Albert Whata, Sol Plaatje University This study aims to …
Solving electricity crisis in SA
Supervisor: Dr Caston Sigauke, University of Venda According to Council for Scientific …
From Above the Sky to Below the Earth: Crop type classification using satellite imagery and deep learning
Supervisor: Prof Adam Elhadi, University of the Witwatersrand, …
Aspects of simulated ant agents for creating an ant-inspired ontology
Supervisor: Dr Colin Chibaya, Sol Plaatje University A formal knowledge domain has …
Determining & Understanding Student Engagement Levels on Online Educational Platforms
Supervisor: Dr Moeketsi Mosia, Sol Plaatje University In recent times, universities have …
Battery as the source of energy
Supervisors: Dr. N.E Maluta , Prof. R.R Maphanga Mr. R.S Dima, University …
Volatility estimate of Telkom shares under GARCH models
Supervisor: Dr Jean-Claude Ndogmo, University of Venda The study compares the performance …
Elements of a bird inspired Swarm Intelligence Ontology for controlling robotic devices
Supervisor: Dr. Colin Chibaya, Sol Plaatje University It has taken …
Studies In Supervised Machine Learning for Stock Price Prediction
Supervisor: Dr Martins Aramsowna, University of Venda Internet and Web …
Investigation of building blocks of fish swarm to Imitate in robotic device
Supervisor: Dr Colin Chibaya, Sol Plaatje University Animals have a …
Uncertainty Quantification in Global PGM Production using Stochastic and Machine Learning Forecasting Algorithms
Supervisor: Prof. G Nwaila, University of the Witwatersrand, …
Why does data on election violence only include fatal incidents?
Supervisor: Prof, Rod Alence, University of the Witwatersrand, …
A comparative study of Investor sentiment index and machine learning techniques in forecasting asset prices
Supervisor: Prof. Yudhvir Seetharam, University of the Witwatersrand, …
Risk reduction in mining projects using Kriging and Gaussian Simulation
Supervisor: Prof. Glen Nwaila, University of the Witwatersrand, Johannesburg …
Effect of sampling on accuracy assessment in remote sensing
Supervisor: Renate Thiede and Dr Inger Fabris-Rotelli, University of Pretoria …
Do You Have An Influence On Digital Transformation?
Supervisors: Prof. Rod Alence Prof. Sumaya Laher, …
Forecasting Monthly Rainfall using Neural Networks – A Case of Mbombela
Supervisors: Dr Ritesh Ajoodha and Dr Ashwini Jadhav, …
Don’t be caught unprepared!
Supervisor: Dr Tapiwa Gundu, Sol Plaatje University In …
Electronic Discharge summary completion: assessing the field completion rate at the Chris Hani Baragwanath Academic Hospital as a surrogate marker of end user acceptance
Supervisor: TBA This study reviewed 18128 discharge records …
Measuring police response to public protest in South Africa
Supervisor: Prof. Rod Alence , University of the …
Demand and Supply Variables Leads to the Worst BTC Return Predictions
Supervisor: Prof. Ritesh Ajoodha, University of the Witwatersrand, Johannesburg Bitcoin …
Analysis of risk factors that contribute to mortality due to cancer in South Africa
Supervisor: TBA A report by World Health Organization support that …
Classification and detection of plant disease using convolutional neural networks
Supervisor: TBA In earlier years, deep learning, a subset of …
Support vector regression is the best method in predicting volatility of Ethereum in the next two days
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, Johannesburg Volatility …
Evidence from West Africa that Education Aid does not Promote Educational Development
Supervisor: Dr Ekeminiabasi Eyita-Okon, University of the Witwatersrand, …
Detecting potential genes that contribute towards development of mental health disorder: Schizophrenia
Supervisor: TBA Mental health problems encompass our overall well-being. These …
My Health Information, My Privacy
Supervisor: Dr Michael Klipin and Prof. Hima Vadapalli, University of the …
News Bias and Fairness in Emerging Markets
Supervisor: TBA This study aimed to investigate …
Corruptions influence on the production of renewable energy in countries between 2000 and 2018
Supervisors: Prof. Rod Alence and Dr Ekeminiabasi Eyita-Okon, …
South African Unemployment Rate Forecasting: A Machine Learning Bayesian Approach
Supervisors: Rudzani Mulaudzi and Dr Ritesh Ajoodha, University …
Stock Market Prediction Using Recurrent Neural Network Based on Time Series Forecasting
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, …
International arms exports: rhetoric vs reality
Supervisor: Dr Michelle Small, University of the Witwatersrand, …
Random Forest Model for Stock Prediction Based on Fundamental Analysis
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, …
Measuring the South African Financial Cycle using Wavelet Analysis
Supervisor: Prof. Gregory Farrell, University of the …
Medicare fraud detection using extreme g radient boosted machines (XGBoost)
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, …
Forecasting Accuracy Comparison of Various Machine Learning and Statistical Models on Stock Market Price Movements
Supervisors: Prof. Terence van Zyl, University of Johannesburg …
The classification and clustering of bank telemarketing data using extreme gradient boost and k-prototype techniques
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, …
Optimisation of hybrid neural network techniques used for stock market predictions
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, …
Rural Governance and Financial Inclusion: Does Rural Governance Matter in the Financial Inclusion in Developing Countries
Supervisor: Dr Nyasha Mahonye, University of the Witwatersrand, …
Prediction of Lightning in South Africa using an LSTM Neural Network Model using Historical Lightning Data
Supervisors: Dr Ritesh Ajoodah and Dr Hugh …
Electoral Accountability in South Africa
Supervisor: Prof. Rod Alence, University of the Witwatersrand, …
Modelling Gold Production Using Sigmoid Models
Supervisor: Dr Caston Sigauke, University of Venda This study approximate …
Investigation of supervised learning methods to classify cell types from single-cell RNA sequencing data
Supervisors: Prof. Terence van Zyl, University of Johannesburg …
Predicting Insurance Claims Fraud using Random Forest
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, …
Credit Card Default Payment Prediction using Random Forest
Supervisor: Dr W Chagwiza, University of the Witwatersrand, Johannesburg Lending …
Customer churn prediction in telecoms industry using random forest
Supervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, …
Event classification for gamma-hadron separation for H.E.S.S
Supervisor: Prof Nukri Komin, University of the Witwatersrand, …
Attention-based LSTM algorithm with ARIMA on wavelet denoised Bitcoin prices
Supervisor: Dr Farai Mlambo, University of the …
Surveying informal settlements in the Gauteng province using Machine Learning
Supervisor: Professor Bruce Mellado, University of the Witwatersrand, …
The Relationship Between Climate Change and Human Fertility
Supervisor: Prof. Nicole de Wet-Billings, University of the …
The prevalence and probability of hypertension among youth 15-34 years old, in South Africa
Supervisor: Prof. Nicole de Wet-Billings, University of the …
How adequate is access to Ante-Natal Care for South African women in public hospitals
Supervisors: Mr Michael Jana and Prof. Rod …
Describing the magnitude spectrum with symbolic notation in musical chords
Supervisor: Dr. Ritesh Ajoodha, University of the Witwatersrand, …
Reviews & Ratings: Do they match?
Supervisor: Dr M.S Mosia, Sol Plaatje University Reviews and ratings …
“They Steal Our Jobs”: An analysis of Group Threat Theory toward immigrants. A case study of South Africa and the European Refugee Crisis
Supervisors: Professor Rod Alence, University of the Witwatersrand, …
Bank Credit Card Default Prediction Using Machine Learning Techniques
Supervisors: Mr Rendani Mbuvha, University of the Witwatersrand, …
Using text mining on reviews of Accommodation establishments on TripAdvisor to draw insights on perceived South African weather
Supervisors: Dr Jennifer Fitchett, University of the Witwatersrand, …
Survival Analysis: Modelling Time to Event Data with Time Varying Features using Survival Trees and Forests
Supervisors: Dr Justine Nasejje, University of the Witwatersrand, Johannesburg This …
Deep Learning & Its Application To Searches Beyond The Standard Model With The ATLAS Detector At The Large Hadron Collider
Supervisors: Prof. Bruce Mellado, University of the Witwatersrand, …
Market Fraction Hypothesis: Application to the South African Financial Market
Supervisor: Dr Yudhvir Seetharam, University of the Witwatersrand, …
Understanding The Jet Activities In Association With The Dileptons Using Machine Learning Techniques With The Use Of The ATLAS Detector At LHC
Supervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg The …
Comparative Analysis of Logistic Regression over Homomorphically Encrypted Data and Decrypted Data
Supervisor: Professor Augustine Munagi and Professor Turgay Çelik, University of …
The development of Extreme Learning Machine with di-lepton data from the ATLAS detector at the LHC
Supervisor: Dr Farai Mlambo, University of the Witwatersrand, …
Credit Card Fraud Detection using Machine Learning
Supervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg Each …
Wind Speed Forecasting Using Long Short-Term Memory (LSTM) Networks
Supervisor: Mr Rendani Mbuvha, University of the Witwatersrand, …
Contrasting trained Wavelet Neural Networks with an application to bankruptcy prediction in banks
Supervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg …
Of Tigers and Lions: Exploring Sino-African Aid relations in Sub-Saharan Africa
Supervisor: Professor Rod Alence, University of the Witwatersrand, …
Stock Market Forecasting using Wavelet Neural Networks
Supervisor: Dr Farai Mlambo, University of the Witwatersrand, …
Applying Machine Learning to Gamma-Hadron Separation in Gamma-Ray Astronomy
Supervisor: Professor Nukri Komin, University of the Witwatersrand, …
Computational Techniques to Predict ICD10 and Diagnosis Code from Native Pathology Images
Supervisor: Professor Turgay Çelik and Dr Michael Klipin, University of the …
Text Mining and the TRC: An inquiry into methodological viability
Supervisor: Professor Rod Alence, University of the Witwatersrand, …
Fingerprint Image Compression using DCT-based Algorithms
Supervisors: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg The …
Automated Text Analysis as an Exploratory Aid to Traditional Content Analysis
Supervisor: Professor Rod Alence, University of the Witwatersrand, …
The use of machine learning to extract a physics model from ATLAS experiment at the LHC
Supervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg The …
Population Density and National-Level Governance in Africa
Supervisor: Professor Rod Alence, University of the Witwatersrand, …
Deep Machine Learning in the search for new bosons at the Large Hadron Collider”
Supervisors: Professor Bruce Mellado, University of the Witwatersrand, …
The Impact of Initialization Strategies on the K-Means Convergence
Supervisor: Ms Nothabo Ndebele, University of the Witwatersrand, Johannesburg Clustering …
Supervised versus Semi-supervised Machine Learning in the search for new Physics with the ATLAS data
Supervisor: Professor Bruce Mellado, University of the Witwatersrand, …
Identifying themes in online harassment using text analytics
Supervisor: Professor Rod Alence, University of the …
Using multisource machine learning to map Prosopis glandulosa in the Griekwastadarea
Supervisors: Elhadi Adam and Turgay Çelik, University of …
The use of machine learning in the search for di-photons in association with missing energy
Supervisor: Prof. Bruce Mellado The Large Hadron …
Prediction of Customer Churn in Telecommunication using Machine Learning Algorithms
Supervisor: Dr. Hairong Wang Loss of customers in …
Predicting Particle Fineness in a Cement Mill
Supervisors: Prof. Anton van Wyk, Dr. Terence van …
Indigenous Women Moving From Physical to Digital Fires: The Evolution of Methods of Transmission of Indigenous Knowledge
Supervisors: Dr Constance Khupe and Prof. Rod …
Akinlaja, O. & Mosia, M., 2021. Using deep learning and sentiment analysis to identify mismatches between online courses’ reviews and ratings. In: 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Windhoek, Namibia, pp.1–6. doi:10.1109/IMITEC52926.2021.9714655.
Antwi, A., Kammies, E.T., Chaka, L. & Arasomwan, M.A., 2025. Forecasting South African grain prices and assessing the non-linear impact of inflation and rainfall using a dynamic Bayesian generalized additive model. Frontiers in Applied Mathematics and Statistics, 11. doi:10.3389/fams.2025.1582609.
Baloyi, N., Mellado, B. & Ruan, X., 2021. Discrimination of signal-background events with supervised and semi-supervised learning in the search for new bosons decaying to the Z + γ final state. In: SAIP Conference. [online] Available at: https://events.saip.org.za/event/144/contributions/1492/attachments/284/388/NBaloyi_SAIP_Proceedings.pdf [Accessed 21 Sep. 2021].
Bokgoshi, L., Sixhaxa, K., Jadhav, A., Nyamane, S. & Ajoodha, R., 2023. Enhancing timely graduations: An explainable AI approach to predict academic risks in South African students. In: 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa, pp.1–7. doi:10.1109/ICECET58911.2023.10389444.
Bonnet, W. & Celik, T., 2021. Random sampling-based relative. IEEE Geoscience and Remote Sensing Letters, 9321136, pp.1–4.
Byamugisha, J., Saib, W., Gaelejwe, T., Jeewa, A. & Molapo, M., 2020a. Abstract PR-12: Towards verifying results from biomedical deep learning models using the UMLS: Cases of primary tumor site classification and cancer Named Entity Recognition. Association for the Advancement of Artificial Intelligence, PR-12-PR-12. Available at: https://doi.org/10.1158/1557-3265.adi21-pr-12.
Chabumba, D.R., Jadhav, A. & Ajoodha, R., 2021. Predicting telecommunication customer churn using machine learning techniques. Interdisciplinary Research in Technology and Management, 14 September, pp.625–636.
Chabumba, R., Ajoodha, R. & Jadhav, A., 2021. Predicting telecommunication customer churn using machine learning techniques. In: International Conference on Interdisciplinary Research in Technology and Management. [online] Available at: www.kaggle.com.
Daniel, L.O., Mashao, D., Olukanmi, P. & Singh, G., 2025. Network slicing for mitigating interference in dense deployments. In: 2025 IEEE 3rd Wireless Africa Conference (WAC), Pretoria, South Africa, pp.1–6. doi:10.1109/WAC63911.2025.10992603.
Daniel, L.O., Sigauke, C., Chibaya, C. & Mbuvha, R., 2020. Short-term wind speed forecasting using statistical and machine learning methods. Algorithms, 13(6).
Daniel, L.O., Singh, G., Mashao, D. & Olukanmi, P., 2024. Optimized coordinated resource allocation and power control for wireless communication networks. In: 2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Port Louis, Mauritius, pp.1–10. doi:10.1109/icABCD62167.2024.10645229.
Desai, P. & Harvey, R., 2023. Is the Southern African Development Community afflicted by premature deindustrialisation? The Africa Governance Papers, 1(4). Available at: https://tagp.gga.org/index.php/system/article/view/55 [Accessed 12 Aug. 2025].
Desai, P., 2023. The link between population density, developmental outcomes and perceptions of governance in sub-Saharan Africa. The Africa Governance Papers, 1(3). Available at: http://160.119.143.6/index.php/system/article/view/42.
Essa, Y. et al., 2024. Classifying single versus multiple ground strike point lightning flashes from high-speed lightning videos using deep learning. In: 37th International Conference on Lightning Protection (ICLP), Dresden, Germany, pp.297–302.
Essa, Y., Ajoodha, R. & Hunt, H.G.P., 2020. A LSTM recurrent neural network for lightning flash prediction within Southern Africa using historical time-series data. In: 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). IEEE.
Essa, Y., Hunt, H.G.P. & Ajoodha, R., 2021. Short-term prediction of lightning in Southern Africa using autoregressive machine learning techniques. In: 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Toronto, ON, Canada, pp.1–5. doi:10.1109/IEMTRONICS52119.2021.9422493.
Essa, Y., Hunt, H.G.P., Gijben, M. & Ajoodha, R., 2022. Deep learning prediction of thunderstorm severity using remote sensing weather data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15(June), pp.4004–4013. doi:10.1109/JSTARS.2022.3172785.
Freeborough, W. & van Zyl, T., 2022. Investigating explainability methods in recurrent neural network architectures for financial time series data. Applied Sciences (Switzerland), 12(3), pp.1–15.
Freeborough, W., Gentle, N. & Rey, M.E.C., 2021. WRKY transcription factors in cassava contribute to regulation of tolerance and susceptibility to cassava mosaic disease through stress responses. Viruses, 13(9), p.1820. Available at: https://doi.org/10.3390/v13091820.
Harvey, R., Morrison, S. & Desai, P., 2025. Is South Africa afflicted by the resource curse? The Extractive Industries and Society, 23, p.101678. Available at: https://doi.org/10.1016/j.exis.2025.101678.
Hayes, B., Ashwal, L.D., Khumalo, K.B. & Iaccheri, L.M., 2024. Major, trace element and Sr-Nd isotope evidence for a sublithospheric mantle source for the Umkondo large igneous province. Geoscience Frontiers, 15(1), p.101719. doi:10.1016/j.gsf.2023.101719.
Kgoale, T., Whata, A., Nasejje, J.B., Rad, N.N. & Mulaudzi, T., 2024. Estimating average and individual treatment effects in the presence of time-dependent covariates. In: Chen, D.G. & Coelho, C.A. (eds.) Biostatistics Modeling and Public Health Applications. Emerging Topics in Statistics and Biostatistics. Springer, Cham. doi:10.1007/978-3-031-69690-9_5.
Khumalo, K.B., Ashwal, L.D., Hayes, B., Iaccheri, L.M., Meintjes, P.G. & Webb, S.J., 2024. Neoarchean lavas of the Ventersdorp Large Igneous Province, South Africa: Sr-Nd-Hf isotopic and trace element evidence for a long-lived plume beneath a stationary African continent. Earth-Science Reviews, 252, p.104752. doi:10.1016/j.earscirev.2024.104752.
Langa, K., Wang, H. & Okuboyejo, O., 2025. Parameter-efficient fine-tuning of pre-trained large language models for financial text analysis. In: Gerber, A., Maritz, J. & Pillay, A.W. (eds.) Artificial Intelligence Research. SACAIR 2024. Communications in Computer and Information Science, vol. 2326. Springer, Cham. doi:10.1007/978-3-031-78255-8_1.
Lange, R., Lange, T. & Van Zyl, T.L., 2020. Predicting particle fineness in a cement mill. In: Proceedings of 2020 23rd International Conference on Information Fusion (FUSION).
Mabunda, J.G.K., Jadhav, A. & Ajoodha, R., 2021. A review: Predicting student success at various levels of their learning journey in a science programme. In: 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Toronto, ON, Canada, pp.1–5. doi:10.1109/IEMTRONICS52119.2021.9422519.
Mabunda, J.G.K., Jadhav, A. & Ajoodha, R., 2021. Sentiment analysis of student textual feedback to improve teaching. In: Interdisciplinary Research in Technology and Management. CRC Press, pp.643–651.
Magoma, P. & Chibaya, C., 2021. Towards a CIA compliant RSA hybrid built on an artificial neural network. In: 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Windhoek, Namibia, pp.1–9. doi:10.1109/IMITEC52926.2021.9714634.
Magoma, P. & Chibaya, C., 2021. Towards a CIA compliant RSA hybrid built on an artificial neural network. In: 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC). IEEE.
Makubyane, K. & Maposa, D., 2024. Forecasting short- and long-term wind speed in Limpopo Province using machine learning and extreme value theory. Forecasting, 6(4), pp.885–907. doi:10.3390/forecast6040044.
Malatsi, T.D. & Kara, A.H., 2022. Invariance, conservation laws and reductions of some classes of “high” order partial differential equations. Transactions of the Royal Society of South Africa, 77(3), pp.255–270. doi:10.1080/0035919X.2022.2164629.
Masangu, L., Jadhav, A. & Ajoodha, R., 2021. Predicting student academic performance using data mining techniques. Advances in Science, Technology and Engineering Systems, 6(1), pp.153–163.
Matsane, L., Jadhav, A. & Ajoodha, R., 2020. The use of automatic speech recognition in education for identifying attitudes of the speakers. In: 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).
Mawela, V. & Chibaya, C., 2020. Generation of virtual reality environments in which to evaluate swarm adherence to prescribed control rules. In: 2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), pp.9–12.
Michael, T.N., Obagbuwa, I.C., Whata, A. & Madzima, K., 2023. A comparative modeling and comprehensive binding site analysis of the South African Beta COVID-19 variant’s spike protein structure. In: Lahby, M., Pilloni, V., Banerjee, J.S. & Mahmud, M. (eds.) Advanced AI and Internet of Health Things for Combating Pandemics. Springer, Cham. doi:10.1007/978-3-031-28631-5_18.
Mngadi, N., Ajoodha, R. & Jadhav, A., 2020. A conceptual model to identify vulnerable undergraduate learners at higher-education institutions. In: 2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC). IEEE, pp.1–8.
Mohale, V.Z. & Obagbuwa, I.C., 2024. Assessing the impact of climate variability on wheat yield in Bloemfontein wheat farms through time series analysis. Edelweiss Applied Science and Technology, 8(5), pp.1213–1234.
Mohale, V.Z. & Obagbuwa, I.C., 2024. Poverty analysis and prediction in South Africa using remotely sensed data. Applied Computational Intelligence and Soft Computing, 2024, p.5137110. doi:10.1155/2024/5137110.
Mohale, V.Z. & Obagbuwa, I.C., 2025. A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhance transparency and interpretability in cybersecurity. Frontiers in Artificial Intelligence, 8, p.1526221. doi:10.3389/frai.2025.1526221.
Mohale, V.Z. & Obagbuwa, I.C., 2025. Evaluating machine learning-based intrusion detection systems with explainable AI: Enhancing transparency and interpretability. Frontiers in Computer Science, 7, p.1520741. doi:10.3389/fcomp.2025.1520741.
Mugware, F.W., Ravele, T. & Sigauke, C., 2025. Short-term predictions of global horizontal irradiance using recurrent neural networks, support vector regression, gradient boosting random forest and advanced stacking ensemble approaches. Computation, 13(3), p.72.
Mugware, F.W., Sigauke, C. & Ravele, T., 2024. Assessing the predictive power of machine learning models for wind speed prediction under different weather conditions. [Details incomplete for full citation].
Mugware, F.W., Sigauke, C. & Ravele, T., 2024. Evaluating wind speed forecasting models: A comparative study of CNN, DAN2, Random Forest and XGBOOST in diverse South African weather conditions. Forecasting, 6(3), pp.672–699. Available at: https://doi.org/10.3390/forecast6030035.
Mulangaphuma, M.P., Chibaya, C. & Madzima, K., 2021. A dynamic nDES model for hiding datasets for machine learning. In: 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Windhoek, Namibia, pp.1–5. doi:10.1109/IMITEC52926.2021.9714631.
Mutavhatsindi, T., Sigauke, C. & Mbuvha, A.R., 2020. Forecasting hourly global horizontal solar irradiance in South Africa using machine learning models. IEEE Access, 8, pp.198872–198885.
Nemavhola, A., Chibaya, C. & Ochara, N.M., 2021. Application of the LSTM – deep neural networks – in forecasting foreign currency exchange rates. In: 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC). IEEE.
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