Development of a Mobile Inter-Vehicular Communication System Based on Gossip Algorithm. - Petros Mashwama; Stephen Gbenga Fashoto; Elliot Mbunge; Simanga Gwebu (Int. J. Interact. Mob. Technol., 2020)

Micro-spatial modelling of malaria cases and environmental risk factors in Buhera rural district, Zimbabwe. - Elliot Mbunge; Maureen Nokuthula Sibiya; Richard C. Millham; Sam Takavarasha (ICTAS, 2021)

m-health framework for improving malaria information dissemination in Buhera rural district amid COVID-19 and beyond. - Elliot Mbunge; Maureen Nokuthula Sibiya; Richard C. Millham; Sam Takavarasha (ICTAS, 2021)

Application of machine learning models to predict malaria using malaria cases and environmental risk factors. - Elliot Mbunge; Richard C. Millham; Maureen Nokuthula Sibiya; Sam Takavarasha (ICTAS, 2022)

Prediction of box-office success: a review of trends and machine learning computational models. - Elliot Mbunge; Stephen Gbenga Fashoto; Happyson Bimha (Int. J. Bus. Intell. Data Min., 2022)

A SWOT Analysis of Software Requirement Validation Techniques. - Boluwaji A. Akinnuwesi; Stephen Gbenga Fashoto; Elliot Mbunge; Petros Mashwama; Patrick Adeomo Owate (Int. J. Softw. Innov., 2022)

Application of machine learning techniques for predicting child mortality and identifying associated risk factors. - Elliot Mbunge; Stephen Gbenga Fashoto; Benhildah Muchemwa; Richard C. Millham; Garikayi Chemhaka; Maureen Nokuthula Sibiya; Tafadzwa Dzinamarira; Jolly Buwerimwe (ICTAS, 2023)

Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches. - Elliot Mbunge; Maureen Nokuthula Sibiya; Sam Takavarasha; Richard C. Millham; Garikayi Chemhaka; Benhildah Muchemwa; Tafadzwa Dzinamarira (ICTAS, 2023)

Financial inclusion dataset classification in Eswatini using support vector machine and logistic regression. - Stephen Gbenga Fashoto; Boluwaji A. Akinnuwesi; Elliot Mbunge; Andile Simphiwe Metfula (Int. J. Bus. Inf. Syst., 2023)

A review of deep learning models to detect malware in Android applications. - Elliot Mbunge; Benhildah Muchemwa; John Batani; Nobuhle Mbuyisa (Cyber Secur. Appl., 2023)

A Deep Learning-Based Chatbot to Enhance Maternal Health Education. - John Batani; Elliot Mbunge; Lipuo Leokana (ICTAS, 2024)

Towards Artificial Intelligence-Driven Marketing: An Adoption Framework for Lesotho. - John Batani; Matau Rosina Mothabeng; Elliot Mbunge (ICTAS, 2024)

Machine Learning Models for Identifying Factors Influencing and Predicting Malaria Among Children Under Five Years in Nigeria. - 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 (ICTAS, 2024)