A critical review of emerging technologies for tackling COVID‐19 pandemic E Mbunge, B Akinnuwesi, SG Fashoto, AS Metfula, P Mashwama Human behavior and emerging technologies 3 (1), 25-39, 2021 | 226 | 2021 |
Application of deep learning and machine learning models to detect COVID-19 face masks-A review E Mbunge, S Simelane, SG Fashoto, B Akinnuwesi, AS Metfula Sustainable Operations and Computers 2, 235-245, 2021 | 82 | 2021 |
A review on mHealth research in developing countries W Chigona, M Nyemba, A Metfula The Journal of Community Informatics 9 (2), 2013 | 68 | 2013 |
Ethics for integrating emerging technologies to contain COVID‐19 in Zimbabwe E Mbunge, SG Fashoto, B Akinnuwesi, A Metfula, S Simelane, N Ndumiso Human Behavior and Emerging Technologies 3 (5), 876-890, 2021 | 51 | 2021 |
COVID-19 pandemic in higher education: critical role of emerging technologies in Zimbabwe E Mbunge, S Fashoto, B Akinnuwesi, C Gurajena, A Metfula, ... Available at SSRN 3743246, 2020 | 39 | 2020 |
Challenges of Social distancing and self-isolation during COVID-19 pandemic in Africa: A Critical Review E Mbunge, S Fashoto, B Akinnuwesi, C Gurajena, A Metfula Available at SSRN 3740202, 2020 | 28 | 2020 |
Application of intelligence-based computational techniques for classification and early differential diagnosis of COVID-19 disease BA Akinnuwesi, SG Fashoto, E Mbunge, A Odumabo, AS Metfula, ... Data Science and Management 4, 10-18, 2021 | 22 | 2021 |
Experimental application of machine learning on financial inclusion data for governance in Eswatini BA Akinnuwesi, SG Fashoto, AS Metfula, AN Akinnuwesi Responsible Design, Implementation and Use of Information and Communication …, 2020 | 15 | 2020 |
Predicting student dropout in massive open online courses using deep learning models-a systematic review E Mbunge, J Batani, R Mafumbate, C Gurajena, S Fashoto, T Rugube, ... Computer Science On-Line Conference, 212-231, 2022 | 13 | 2022 |
The Interplay Between Policy Network Actors and Information and Communication Technology Policies in Developing Country Context AS Metfula University of Cape Town, 2013 | 8 | 2013 |
Challenges of Social Distancing and Self-Isolation during COVID-19 Pandemic in Africa: A Critical Review. SSRN Electron J 2020 E Mbunge, S Fashoto, B Akinnuwesi, C Gurajena, A Metfula | 7 | |
Challenges of Social distancing and self-isolation during COVID-19 pandemic in Africa E Mbunge, S Fashoto, B Akinnuwesi, C Gurajena, A Metfula A Critical Review, 2020 | 6 | 2020 |
Application of deep learning and machine learning models to detect COVID-19 face masks-a review. Sustain. Oper. Comput. 2, 235–245 (2021) E Mbunge, S Simelane, SG Fashoto, B Akinnuwesi, AS Metfula | 5 | |
Emphasizing the digital shift of hospitality towards hyper-personalization: application of machine learning clustering algorithms to analyze travelers N Gustavo, E Mbunge, M Belo, SG Fashoto, JM Pronto, AS Metfula, ... Optimizing digital solutions for hyper-personalization in tourism and …, 2022 | 4 | 2022 |
Assessment of the Readiness of Academic Staff of a Tertiary Institution for Performance Evaluation using a Dynamic Human Resource Information System SG Fashoto, P Ajiboye, O Owolabi, A Metfula, OY Fashoto African Journal of Computing and ICT 11 (2), 53-75, 2018 | 4 | 2018 |
The influence of external actors in the formulation of national information and communications technology policies in developing countries: Case of Swaziland AS Metfula, G Kunyenje, W Chigona 2016 International Conference on Advances in Computing and Communication …, 2016 | 4 | 2016 |
In search of development in a national ICT policy: The case of Swaziland AS Metfula, W Chigona Proceedings of the Southern African Institute for Computer Scientist and …, 2014 | 4 | 2014 |
The future of next generation web: Juxtaposing machine learning and deep learning-based web cache replacement models in web caching systems E Mbunge, J Batani, SG Fashoto, B Akinnuwesi, C Gurajena, ... Computer Science On-line Conference, 426-450, 2023 | 3 | 2023 |
Financial inclusion dataset classification in Eswatini using support vector machine and logistic regression SG Fashoto, BA Akinnuwesi, E Mbunge, AS Metfula International Journal of Business Information Systems 43 (4), 507-527, 2023 | 3 | 2023 |
Evaluating the performance of two hybrid feature selection model of machine learning for credit card fraud detection on classification and prediction methods SG Fashoto, O Owolabi, E Mbunge, AS Metfula BP International, 2019 | 3 | 2019 |