An Integrated Mobile Application for Enhancing Management of Nutrition Information in Arusha Tanzania. - Neema Mduma; Khamisi Kalegele (CoRR, 2015)

A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction. - Neema Mduma; Khamisi Kalegele; Dina Machuve (Data Sci. J., 2019)

Machine Learning Model for Predicting Student Dropout: A Case of Tanzania, Kenya and Uganda. - Neema Mduma; Dina Machuve (AFRICON, 2021)

Document Digitization Technology and Its Application in Tanzania. - Mbonimpaye John; Beatus Mbunda; Victor Willa; Neema Mduma; Dina Machuve; Shubi Felix Kaijage (IntelliSys (2), 2021)

Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach. - Martina Mariki; Elizabeth Mkoba; Neema Mduma (Appl. Artif. Intell., 2022)

Poultry diseases diagnostics models using deep learning. - Dina Machuve; Ezinne Nwankwo; Neema Mduma; Jimmy T. Mbelwa (Frontiers Artif. Intell., 2022)

Corrigendum: Poultry diseases diagnostics models using deep learning. - Dina Machuve; Ezinne Nwankwo; Neema Mduma; Jimmy T. Mbelwa (Frontiers Artif. Intell., 2022)

Data Balancing Techniques for Predicting Student Dropout Using Machine Learning. - Neema Mduma (Data, 2023)

Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania. - Flavia Mayo; Ciira Ma Maina; Mvurya Mgala; Neema Mduma (Frontiers Artif. Intell., 2024)

Computer Science Education in Selected Countries from Sub-Saharan Africa. - Engineer Bainomugisha; Karen L. Bradshaw; Martin Mabeifam Ujakpa; Joyce Nakatumba-Nabende; Lawrence Nderu; Neema Mduma; Patrick Kihoza; Annette Irungu (Inroads, 2024)

Image Segmentation Deep Learning Model for Early Detection of Banana Diseases. - Christian A. Elinisa; Ciira Wa Maina; Anthony Vodacek; Neema Mduma (Appl. Artif. Intell., 2025)