Ambambi V.N.; Gamundani A.M. (2025). Synthetic Data-Driven Anomaly Detection for Safety-Critical Green Hydrogen Systems. 2025 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2025 – Proceedings, 816–821.
Synthetic Data-Driven Anomaly Detection for Safety-Critical Green Hydrogen Systems Read More »
Sibanda B.K.; Iyawa G.E.; Gamundani A.M. (2021). Mobile apps utilising AI for plant disease identification: A systematic review of user reviews. 2021 3rd International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2021.
Attlee M. Gamundani (2025). The Human Firewall: Reclaiming Digital Sovereignty in an Age of Artificial Intelligence. Lulu.
The Human Firewall: Reclaiming Digital Sovereignty in an Age of Artificial Intelligence Read More »
Sibanda B.K.; Iyawa G.E.; Gamundani A.M. (2021). Systematic Review of Plant Pest and Disease Identification Strategies and Techniques in Mobile Apps. Advances in Intelligent Systems and Computing, 1366 AISC, 491–502.
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.
