| A survey of machine learning approaches and techniques for student dropout prediction N Mduma, K Kalegele, D Machuve Data Science Journal, 2019 | 79 | 2019 |
| Machine learning approach for reducing students dropout rates N Mduma, K Kalegele, D Machuve International Journal of Advanced Computer Research, 2019 | 26 | 2019 |
| Poultry diseases diagnostics models using deep learning D Machuve, E Nwankwo, N Mduma, J Mbelwa Frontiers in Artificial Intelligence 5, 733345, 2022 | 24 | 2022 |
| Combining clinical symptoms and patient features for malaria diagnosis: machine learning approach M Mariki, E Mkoba, N Mduma Applied Artificial Intelligence 36 (1), 2031826, 2022 | 14 | 2022 |
| An ensemble predictive model based prototype for student drop-out in secondary schools N Mduma, K Kalegele, D Machuve Journal of Information Systems Engineering and Management 4 (3), em0094, 2019 | 14 | 2019 |
| Data balancing techniques for predicting student dropout using machine learning N Mduma Data 8 (3), 49, 2023 | 8 | 2023 |
| Deep learning model for predicting stock prices in Tanzania S Joseph NM-AIST, 2023 | 6 | 2023 |
| Enhancing management of nutrition information using mobile application: prenatal and postnatal requirements N Mduma, K Kalegele 2017 IST-Africa Week Conference (IST-Africa), 1-7, 2017 | 6 | 2017 |
| A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language F Mlawa, E Mkoba, N Mduma Engineering, Technology & Applied Science Research 13 (3), 10856-10860, 2023 | 5 | 2023 |
| IoT-based system for automated floodwater detection and early warning in the East Africa Region: a case study of Arusha and Dar es salaam, Tanzania A Uwayisenga NM-AIST, 2021 | 5 | 2021 |
| An Integrated Mobile Application for Enhancing Management of Nutrition Information in Arusha Tanzania N Mduma, K Kalegele arXiv preprint arXiv:1508.03441, 2015 | 5 | 2015 |
| Data driven approach for predicting student dropout in secondary schools N Mduma NM-AIST, 2020 | 4 | 2020 |
| Corrigendum: Poultry diseases diagnostics models using deep learning D Machuve, E Nwankwo, N Mduma, J Mbelwa Frontiers in Artificial Intelligence 5, 1016695, 2022 | 3 | 2022 |
| Machine learning imagery dataset for maize crop: a case of Tanzania N Mduma, H Laizer Data in Brief 48, 109108, 2023 | 2 | 2023 |
| Data Balancing Techniques for Predicting Student Dropout Using Machine Learning. Data 2023, 8, 49 N Mduma | 2 | 2023 |
| Characterisation of Malaria Diagnosis Data in High and Low Endemic Areas of Tanzania M Mariki, N Mduma, E Mkoba The East African Health Research Journal 6 (2), 171, 2022 | 2 | 2022 |
| Automatic Railway Road Crossing (RLC) Traffic Light System for Metric Gauge Railway Network in Tanzania L NKUNZIMANA, G Minja, C Mariki, I Zirakwiye, N Mduma, M Dida International Journal of Advances in Scientific Research and Engineering …, 2021 | 2 | 2021 |
| A Battery Voltage Level Monitoring System for Telecommunication Towers R Uwamahoro, N Mduma, D Machuve Engineering, Technology & Applied Science Research, 2021 | 2 | 2021 |
| An integrated mobile application for enhancing management of nutrition information in Tanzania N Mduma NM-AIST, 2016 | 2 | 2016 |
| Evaluating the challenges of technology enhanced learning in universities in Tanzania JO Oroma, N Mduma 2013 IST-Africa Conference & Exhibition, 1-9, 2013 | 2 | 2013 |
