Publications

Academic Journals

Bonnet, W. & Celik, T. 2021. Random Sampling-Based Relative. IEEE Geoscience and Remote Sensing Letters. 9321136:1–4.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. https://doi.org/10.1158/1557-3265.adi21-pr-12

Byamugisha, J., Saib, W., Gaelejwe, T., Jeewa, A., & Molapo, M. (2020b). Towards Verifying Results from Biomedical NLP Machine Learning Models Using the UMLS: Cases of Classification and Named Entity Recognition. www.aaai.org

Chabumba, D.R., Jadhav, A. & Ajoodha, R. 2021. Predicting Telecommunication Customer Churn using Machine Learning Techniques. Interdisciplinary Research in Technology and Management. (September, 14):625–636.

Choma, J., Correa, F., Dahbi, S.-E., Dwolatzky, B., Dwolatzky, L., Hayasi, K., Lieberman, B., Maslo, C., et al. (in press). Worldwide Effectiveness of Various Non-Pharmaceutical Intervention Control Strategies on the Global COVID-19 Pandemic: A Linearised Control Model. medRxiv. (May, 12):2020.04.30.20085316.

Daniel, L.O., Sigauke, C., Chibaya, C. & Mbuvha, R. 2020. Short-term wind speed forecasting using statistical and machine learning methods. Algorithms. 13(6).

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), 4004–4013. https://doi.org/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):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(1820).

Harling, G., Gómez-Olivé, F.X., Tlouyamma, J., Mutevedzi, T., Kabudula, C.W., Mahlako, R., Singh, U., Ohene-Kwofie, D., Mahlako R., et al. 2021. Protective behaviors and secondary harms resulting from nonpharmaceutical interventions during the COVID-19 epidemic in South Africa: Multisite, prospective longitudinal study. JMIR Public Health and Surveillance. 7(5):1–17.

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. 643–651.

Masangu, L., Jadhav, A. & Ajoodha, R. 2021. Predicting student academic performance using data mining techniques. Advances in Science, Technology and Engineering Systems. 6(1):153–163.

Mutavhatsindi, T., Sigauke, C. & Mbuvha, A.R. 2020. Forecasting hourly global horizontal solar irradiance in South Africa using machine learning models. IEEE Access. 8:198872–198885.

Ngwenduna, K.S. & Mbuvha, R. 2021. Alleviating class imbalance in actuarial applications using generative adversarial networks. Risks. 9(3):1–33.

Nkolele, R. 2020. Mapping of Narrative Text Fields To ICD-10 Codes Using Natural Language Processing and Machine Learning. in Proceedings of the The Fourth Widening Natural Language Processing Workshop Association for Computational Linguistics (ACL). 131–135.

Orievulu, K. S. (2020). (Re-engaging) the “tyranny” of process in participatory development programming in Africa: Fadama in Nigeria as a case study. South African Journal of International Affairs, 27(2), 243–264. https://doi.org/10.1080/10220461.2020.1785930

Ratshilengo, M., Sigauke, C. & Bere, A. 2021. Short-term Solar Power Forecasting using Genetic Algorithms: An Application using South African Data. Applied Sciences (Switzerland). 11(9).

Ohamadike, Nnaemeka, Orakwe, E.C. “The Role of Education in the Public Perception of Corruption in Sudan and Zimbabwe”. Politeia, 11 pages . https://doi.org/10.25159/2663-6689/13663.

Conference Proceedings

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: https://events.saip.org.za/event/144/contributions/1492/attachments/284/388/NBaloyi_SAIP_Proceedings.pdf [2021, September 21].

Byamugisha, J., Saib, W., Gaelejwe, T., Jeewa, A., & Molapo, M. (2020). 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. https://doi.org/10.1158/1557-3265.adi21-pr-12

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 in association. [Online], Available: www.kaggle.com.

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 2020 Institute of Electrical and Electronics Engineers Inc.

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 2021 – Proceedings.

Essa, Y., Ajoodha, R. & Hunt, H.G.P. 2021. A LSTM Recurrent Neural Network for Lightning Flash Prediction within Southern Africa using Historical Time-series Data. in 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC).

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 2020.

Mabunda, K. & 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) IEEE. 1–5.

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 2021 IEEE.

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 2020.

Mawela, V. & Chibaya, C. 2020. Generation of Virtual Reality Environments in which to Evaluate Swarm Adherence to Prescribed Control Rules. 2020 2nd International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2020. 9–12.

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 2020 Institute of Electrical and Electronics Engineers Inc. 1–8.

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 2021 Institute of Electrical and Electronics Engineers Inc.

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 2021 IEEE.

Ntsenge, K.Y. 2022. Indigenous women moving from physical to digital fires: the evolution of methods of transmission of indigenous knowledge. in Digital Humanities in Precarious Times. [Online], Available: https://humanities.nwu.ac.za/humanities/digital-humanities-precarious-times.

Oni, O.O. & Zyl, T.L. van. 2020. A Comparative Study of Ensemble Approaches to Fact-Checking for the FEVER Shared Task. in 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). 1–8.

Ramalivhana, D.D., Chibaya, C. & Madzima, K. 2021. Trends Matching as a Dataset Attack Detection Strategy during Machine Learning. in 2021 3rd International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2021 IEEE.Thulare, E., Ajoodha, R. & Jadhav, A. 2021. An Empirical Analysis and Application of the Expectation-Maximization and Matrix Completion Algorithms for Varying Degrees of Missing Data. in 2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2021 Institute of Electrical and Electronics Engineers Inc.