Tebogo Bokaba

11 papers Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
A Deep Learning Approach For Predicting Diabetes Stages.
AMCIS
Tsholofelo Mokheleli, Emmanuel Mbuya, Tebogo Bokaba, Patrick Ndayizigamiye, Efosa C. Idemudia
2025 J jnl
Explainability and interpretability of artificial intelligence use in cybersecurity.
Discov. Comput.
Lizzy Ofusori, Tebogo Bokaba, Siyabonga Mhlongo
2025 J jnl
Explainable Artificial Intelligence for Workplace Mental Health Prediction.
Informatics
Tsholofelo Mokheleli, Tebogo Bokaba, Elliot Mbunge
2025 — conf
Resilient Healthcare Systems through AI-Powered Cloud Computing: Perspectives on Resource Allocation.
HICSS
Tebogo Bokaba, Patrick Ndayizigamiye, Efosa C. Idemudia, Armindo Alexandre Junior
2025 J jnl
Trends and developments in health systems modeling: a bibliometric analysis.
Frontiers Digit. Health
Kudakwashe Maguraushe, Patrick Ndayizigamiye, Tebogo Bokaba
2024 J jnl
Artificial Intelligence in Cybersecurity: A Comprehensive Review and Future Direction.
Appl. Artif. Intell.
Lizzy Ofusori, Tebogo Bokaba, Siyabonga Mhlongo
2024 — conf
The Application of Artificial Intelligence in Diabetes Prediction: A Bibliometric Analysis.
ICT4D (1)
Emmanuel Mbuya, Tsholofelo Mokheleli, Tebogo Bokaba, Patrick Ndayizigamiye
2023 — conf
A Multiclass Approach to Predicting Diabetes Using Machine Learning.
ACIS
Emmanuel Mbuya, Tsholofelo Mokheleli, Tebogo Bokaba, Patrick Ndayizigamiye
2023 — conf
An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction.
ACIS
Tsholofelo Mokheleli, Tebogo Bokaba, Tinofirei Museba
2023 — conf
The Effect of AI-Powered Cloud Computing on the Resilience of Healthcare Systems: A Governance Perspective.
TDIT (2)
Armindo Alexandre Junior, Patrick Ndayizigamiye, Tebogo Bokaba
2023 — conf
Trends and Developments in the Use of Machine Learning for Disaster Management: A Bibliometric Analysis.
TDIT (2)
Kudakwashe Maguraushe, Patrick Ndayizigamiye, Tebogo Bokaba