John Batani - Faculty of Engineering and Technology, Botho University

基本信息

Career Trajectory

Bio

A seasoned academic with over nine years of university lecturing experience at three universities in two countries. I have also experience working on hands-on software development projects in the industry, having recently completed a project monitoring and evaluation tool for Lower Guruve Development Association (LGDA) for the JSB (Japanese Supplementary Budget) project funded by the Japanese Embassy in Zimbabwe. LGDA was the implementing partner, while the UN Women Zimbabwe obtained funding from the Japanese Embassy.

Research Interests

Papers共 32 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

A Deep Learning-Based Chatbot to Enhance Maternal Health Education

John Batani,Elliot Mbunge, Lipuo Leokana

Conference on Information Communications Technology and Societypp.7-11, (2024)

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Towards Artificial Intelligence-Driven Marketing: An Adoption Framework for Lesotho

John Batani, Matau Rosina Mothabeng,Elliot Mbunge

Conference on Information Communications Technology and Societypp.12-19, (2024)

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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

Conference on Information Communications Technology and Societypp.88-94, (2024)

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Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning models

Owen Mugurungi,Elliot Mbunge, Rutendo Birri-Makota,Innocent Chingombe, Munyaradzi Mapingure,Brian Moyo, Amon Mpofu,John Batani, Benhildah Muchemwa, Chesterfield Samba, Delight Murigo, Musa Sibindi,

PLOS digital healthno. 7 (2024): e0000541-e0000541

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Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications

Elliot Mbunge,John Batani

Telematics and Informatics Reports (2023): 100097-100097

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The Future of Next Generation Web: Juxtaposing Machine Learning and Deep Learning-Based Web Cache Replacement Models in Web Caching Systems

Elliot Mbunge,John Batani,Stephen Gbenga Fashoto,Boluwaji A. Akinnuwesi, Caroline Gurajena,Ogunleye Gabriel Opeyemi,Andile Simphiwe Metfula, Zenzo Polite Ncube

Lecture notes in networks and systemspp.426-450, (2023)

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A Deep Learning Model for Predicting Under-Five Mortality in Zimbabwe

John Batani

2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)pp.1-6, (2023)

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Emerging Technologies for Tackling Pandemics

Elliot Mbunge,John Batani,Godfrey Musuka,Itai Chitungo,Innocent Chingombe,Tafadzwa Dzinamarira,Benhildah Muchemwa

Emerging Drug Delivery and Biomedical Engineering Technologiespp.211-219, (2023)

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A Framework for the Adoption of Emerging Technologies to Reduce Under-Five Mortality in Zimbabwe

John Batani,Manoj Sewak Maharaj

2023 Conference on Information Communications Technology and Society (ICTAS)pp.24-29, (2023)

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A review of deep learning models to detect malware in Android applications

Elliot Mbunge,Benhildah Muchemwa,John Batani, Nobuhle Mbuyisa

Cyber Security and Applications (2023): 100014-100014

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