Spectrum pricing, engineering and audit
Technical training connecting spectrum engineering, implementation lessons and management practice.
Spectrum pricing, engineering and audit Read More »
Technical training connecting spectrum engineering, implementation lessons and management practice.
Spectrum pricing, engineering and audit Read More »
A conversation about cybersecurity and the people and practices that help protect digital systems.
Namibia Connect unpacking cybersecurity Read More »
Shipena E.F.N.; Gamundani A.M. (2024). A REVIEW OF INTERNET OF THINGS (IOT) SMART OFFICE DATA SECURITY THREATS. Studies in Managerial and Financial Accounting, 36, 375–381.
A Review of Internet of Things (IoT) Smart Office Data Security Threats Read More »
Kanyama M.N.; Bhunu Shava F.; Gamundani A.M.; Hartmann A. (2024). Anomalies identification in Smart Water Metering Networks: Fostering improved water efficiency. Physics and Chemistry of the Earth, 134, article 103592.
Nelago Kanyama M.; Bhunu Shava F.; Gamundani A.M.; Hartmann A. (2024). Enhancing Anomaly Detection in Smart Water Metering Networks with LSTM -Autoencoder and Data Augmentation Techniques. Proceedings of 2024 4th International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2024, 20–28.
Morolong M.; Gamundani A.; Shava F.B. (2024). Investigation of Machine Learning-Inspired Security Controls Used in Protecting Health Critical Infrastructure from Advanced Persistent Threat Attacks: Review. 2024 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024 – Proceedings, 207–216.
Ndjene J.; Gamundani A.M.; Kanyama M.N. (2024). Leveraging Machine Learning to Detect and Predict Diabetes in Polycystic Ovary Syndrome Patients: A Review. 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 – Proceedings.
Kanyama M.N.; Bhunu Shava F.; 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, article 103558.
Nantinda T.; Gamundani A.M.; Kanyama M.N. (2024). Machine-Learning Application for Detection and Prediction of Stroke Risk and Post -Stroke Outcomes: A Comprehensive Review. 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 – Proceedings.
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. 2024 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024 – Proceedings, 568–574.
Simulation and Prediction of Machine Learning-Based Storm Surge Forecasting Model Read More »