Neema Mduma

15 papers Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hybrid Deep Learning Model for SQL Injection Attack Detection.
IEEE Access
Emanuel N. Casmiry, Ramadhani Saidi Sinde, Neema Mduma
2025 — conf
CS2023 Curriculum Guidelines and the Impact on Computer Science Education in Africa.
CompEd (1)
Michael J. Oudshoorn, Sherif G. Aly, Engineer Bainomugisha, Nahla A. Belal, Karen L. Bradshaw, Mohamed Essam Khedr, Patrick Kihoza, V. Lakshmi Narasimhan, Janet Liebenberg, Neema Mduma, Christian Servin
2025 J jnl
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers.
Frontiers Big Data
Emanuel N. Casmiry, Neema Mduma, Ramadhani Saidi Sinde
2025 J jnl
Enhancing detection of common bean diseases using Fast Gradient Sign Method-trained Vision Transformers.
Frontiers Artif. Intell.
Upendo Mwaibale, Neema Mduma, Hudson Laizer, Bonny Mgawe
2025 J jnl
Image Segmentation Deep Learning Model for Early Detection of Banana Diseases.
Appl. Artif. Intell.
Christian A. Elinisa, Ciira Wa Maina, Anthony Vodacek, Neema Mduma
2024 J jnl
Computer Science Education in Selected Countries from Sub-Saharan Africa.
Inroads
Engineer Bainomugisha, Karen L. Bradshaw, Martin Mabeifam Ujakpa, Joyce Nakatumba-Nabende, Lawrence Nderu, Neema Mduma, Patrick Kihoza, Annette Irungu
2024 J jnl
Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania.
Frontiers Artif. Intell.
Flavia Mayo, Ciira Ma Maina, Mvurya Mgala, Neema Mduma
2023 J jnl
Data Balancing Techniques for Predicting Student Dropout Using Machine Learning.
Data
Neema Mduma
2022 J jnl
Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach.
Appl. Artif. Intell.
Martina Mariki, Elizabeth Mkoba, Neema Mduma
2022 J jnl
Corrigendum: Poultry diseases diagnostics models using deep learning.
Frontiers Artif. Intell.
Dina Machuve, Ezinne Nwankwo, Neema Mduma, Jimmy T. Mbelwa
2022 J jnl
Poultry diseases diagnostics models using deep learning.
Frontiers Artif. Intell.
Dina Machuve, Ezinne Nwankwo, Neema Mduma, Jimmy T. Mbelwa
2021 — conf
Document Digitization Technology and Its Application in Tanzania.
IntelliSys (2)
Mbonimpaye John, Beatus Mbunda, Victor Willa, Neema Mduma, Dina Machuve, Shubi Felix Kaijage
2021 — conf
Machine Learning Model for Predicting Student Dropout: A Case of Tanzania, Kenya and Uganda.
AFRICON
Neema Mduma, Dina Machuve
2019 J jnl
A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction.
Data Sci. J.
Neema Mduma, Khamisi Kalegele, Dina Machuve
2015 J jnl
An Integrated Mobile Application for Enhancing Management of Nutrition Information in Arusha Tanzania.
CoRR
Neema Mduma, Khamisi Kalegele