Tebogo Bokaba

According to our database, Tebogo Bokaba authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Explainability and interpretability of artificial intelligence use in cybersecurity.

Lizzy Ofusori, Tebogo Bokaba, Siyabonga Mhlongo

Discov. Comput., December, 2025

Explainable Artificial Intelligence for Workplace Mental Health Prediction.

Tsholofelo Mokheleli, Tebogo Bokaba, Elliot Mbunge

Informatics, 2025

Trends and developments in health systems modeling: a bibliometric analysis.

Kudakwashe Maguraushe, Patrick Ndayizigamiye, Tebogo Bokaba

Frontiers Digit. Health, 2025

Resilient Healthcare Systems through AI-Powered Cloud Computing: Perspectives on Resource Allocation.

Tebogo Bokaba, Patrick Ndayizigamiye, Efosa C. Idemudia, Armindo Alexandre Junior

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

A Deep Learning Approach For Predicting Diabetes Stages.

Tsholofelo Mokheleli, Emmanuel Mbuya, Tebogo Bokaba, Patrick Ndayizigamiye, Efosa C. Idemudia

Proceedings of the 31st Americas Conference on Information Systems: Intelligent Technologies for a Better Future, 2025

2024

Artificial Intelligence in Cybersecurity: A Comprehensive Review and Future Direction.

Lizzy Ofusori, Tebogo Bokaba, Siyabonga Mhlongo

Appl. Artif. Intell., December, 2024

The Application of Artificial Intelligence in Diabetes Prediction: A Bibliometric Analysis.

Emmanuel Mbuya, Tsholofelo Mokheleli, Tebogo Bokaba, Patrick Ndayizigamiye

Proceedings of the Implications of Information and Digital Technologies for Development, 2024

2023

Trends and Developments in the Use of Machine Learning for Disaster Management: A Bibliometric Analysis.

Kudakwashe Maguraushe, Patrick Ndayizigamiye, Tebogo Bokaba

Proceedings of the Transfer, Diffusion and Adoption of Next-Generation Digital Technologies, 2023

The Effect of AI-Powered Cloud Computing on the Resilience of Healthcare Systems: A Governance Perspective.

Armindo Alexandre Junior, Patrick Ndayizigamiye, Tebogo Bokaba

Proceedings of the Transfer, Diffusion and Adoption of Next-Generation Digital Technologies, 2023

An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction.

Tsholofelo Mokheleli, Tebogo Bokaba, Tinofirei Museba

Proceedings of the Australasian Conference on Information Systems, 2023

A Multiclass Approach to Predicting Diabetes Using Machine Learning.

Emmanuel Mbuya, Tsholofelo Mokheleli, Tebogo Bokaba, Patrick Ndayizigamiye

Proceedings of the Australasian Conference on Information Systems, 2023