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Elliot Mbunge
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Journal Articles
- 2023
- [j5]Elliot Mbunge, Benhildah Muchemwa, John Batani, Nobuhle Mbuyisa:
A review of deep learning models to detect malware in Android applications. Cyber Secur. Appl. 1: 100014 (2023) - [j4]Stephen Gbenga Fashoto, Boluwaji A. Akinnuwesi, Elliot Mbunge, Andile Simphiwe Metfula:
Financial inclusion dataset classification in Eswatini using support vector machine and logistic regression. Int. J. Bus. Inf. Syst. 43(4): 507-527 (2023) - 2022
- [j3]Elliot Mbunge, Stephen Gbenga Fashoto, Happyson Bimha:
Prediction of box-office success: a review of trends and machine learning computational models. Int. J. Bus. Intell. Data Min. 20(2): 192-207 (2022) - [j2]Boluwaji A. Akinnuwesi, Stephen Gbenga Fashoto, Elliot Mbunge, Petros Mashwama, Patrick Adeomo Owate:
A SWOT Analysis of Software Requirement Validation Techniques. Int. J. Softw. Innov. 10(1): 1-24 (2022) - 2020
- [j1]Petros Mashwama, Stephen Gbenga Fashoto, Elliot Mbunge, Simanga Gwebu:
Development of a Mobile Inter-Vehicular Communication System Based on Gossip Algorithm. Int. J. Interact. Mob. Technol. 14(11): 4-21 (2020)
Conference and Workshop Papers
- 2024
- [c8]John Batani, Elliot Mbunge, Lipuo Leokana:
A Deep Learning-Based Chatbot to Enhance Maternal Health Education. ICTAS 2024: 7-11 - [c7]John Batani, Matau Rosina Mothabeng, Elliot Mbunge:
Towards Artificial Intelligence-Driven Marketing: An Adoption Framework for Lesotho. ICTAS 2024: 12-19 - [c6]Akinpelumi Saheed Faremi, Boluwaji A. Akinnuwesi, Elliot Mbunge, Petros Mashwama, Stephen Gbenga Fashoto, Zenzo Polite Ncube, John Batani, Shamsudeen A. Sanni, Yinusa A. Faremi, Andile Simphiwe Metfula:
Machine Learning Models for Identifying Factors Influencing and Predicting Malaria Among Children Under Five Years in Nigeria. ICTAS 2024: 88-94 - 2023
- [c5]Elliot Mbunge, Stephen Gbenga Fashoto, Benhildah Muchemwa, Richard C. Millham, Garikayi Chemhaka, Maureen Nokuthula Sibiya, Tafadzwa Dzinamarira, Jolly Buwerimwe:
Application of machine learning techniques for predicting child mortality and identifying associated risk factors. ICTAS 2023: 1-5 - [c4]Elliot Mbunge, Maureen Nokuthula Sibiya, Sam Takavarasha, Richard C. Millham, Garikayi Chemhaka, Benhildah Muchemwa, Tafadzwa Dzinamarira:
Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches. ICTAS 2023: 1-6 - 2022
- [c3]Elliot Mbunge, Richard C. Millham, Maureen Nokuthula Sibiya, Sam Takavarasha:
Application of machine learning models to predict malaria using malaria cases and environmental risk factors. ICTAS 2022: 1-5 - 2021
- [c2]Elliot Mbunge, Maureen Nokuthula Sibiya, Richard C. Millham, Sam Takavarasha:
Micro-spatial modelling of malaria cases and environmental risk factors in Buhera rural district, Zimbabwe. ICTAS 2021: 52-58 - [c1]Elliot Mbunge, Maureen Nokuthula Sibiya, Richard C. Millham, Sam Takavarasha:
m-health framework for improving malaria information dissemination in Buhera rural district amid COVID-19 and beyond. ICTAS 2021: 59-66
Coauthor Index
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