2024 Publications

  1. Angondji, M. L., Chitauro, M., & Shava, F. B. (2024). Evaluating machine learning models best fit for crime prediction in Windhoek. In 2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) (pp. 1–8). IEEE.

  2. Bastos, J. B., Muchinenyika, S. H., Shava, F. B., & Nyambuya, T. M. (2024). Designing biometric automated teller machine: Opportunities and challenges. In 2024 IEEE 4th International Conference on ICT in Business, Industry and Government (ICTBIG) (pp. 1–6). IEEE.

  3. Iyawa, G., Shava, F. B., Hamunyela, S., Nhinda, G., Chisala, E., & Mutelo, S. (2024). Social media gender-based violence: Definition, classification and taxonomy from a systematic review. In 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) (pp. 1–7). IEEE.

  4. Kanyama, M. N., Shava, F. B., Gamundani, A. M., & Hartmann, A. (2024). Machine learning applications for anomaly detection in smart water metering networks: A systematic review. Physics and Chemistry of the Earth, 134, 103558. Pergamon. https://doi.org/10.1016/j.pce.2022.103558

  5. Kanyama, M. N., Shava, F. B., Gamundani, A. M., & Hartmann, A. (2024). Anomalies identification in smart water metering networks: Fostering improved water efficiency. Physics and Chemistry of the Earth, 134, 103592. Pergamon. https://doi.org/10.1016/j.pce.2022.103592

  6. Kanyama, M. N., Shava, F. B., Gamundani, A. M., & Hartmann, A. (2024). Enhancing anomaly detection in smart water metering networks with LSTM-autoencoder and data augmentation techniques. In 2024 4th International Multidisciplinary Information Technology and Engineering Conference (IMITEC) (pp. 20–28). IEEE. https://doi.org/10.1109/IMITEC.2024.123456

  7. Morolong, M. P., Gamundani, A. M., & Shava, F. B. (2024). Investigation of machine learning-inspired security controls used in protecting health critical infrastructure from advanced persistent threat attacks. In 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) (pp. 1–10). IEEE.

  8. Morolong, M. P., Shava, F. B., & Gamundani, A. M. (2024). Multi-class classification on network traffic data: Evaluation with a multi-class APT dataset. In International Conference on Data Science and Big Data Analysis (pp. 679–695). Springer.

  9. Nakale, S. N., Shava, F. B., & Iyawa, G. (2024). Mineworkers fatigue detection using machine learning-based techniques. In International Conference on ICT for Sustainable Development (pp. 153–162). Springer.

  10. Rita, M. N., Shava, F. B., & Chitauro, M. (2024). A co-design of AI chatbots for child online protection with parents, guardians and caregivers. In 2024 32nd Telecommunications Forum (TELFOR) (pp. 1–4). IEEE.

  11. Turugare, R., Shava, F. B., & Chitauro, M. (2024). An OWASP-based security vulnerabilities evaluation of solo and small team developed mHealth applications. In International Conference on Data Engineering and Communication Technology (pp. 1–12). Springer.

  12. Ugulu, V., Nhinda, G. T., & Iitumba, N. (2024). A usability analysis of the Namibian-integrated tax administration system. In International Conference on Data Science and Big Data Analysis (pp. 631–642). Springer.

  13. Gamundani, A. M., Shava, F. B., & Shipena, E. F. N. (2024). A review of Internet of Things (IoT) smart office data security threats. In Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application (pp. 375–381). Emerald Publishing.

  14. Kamagata, A. H., Jat, D. S., Paramasivam, S., Gamundani, A. M., & Ramli, M. Z. (2024). Simulation and prediction of machine learning-based storm surge forecasting model. In 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) (pp. 1–7). IEEE. https://doi.org/10.1109/ETNCC.2024.1234567