Neema Mduma

According to our database, Neema Mduma authored at least 16 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adaptive Decision-Level Intrusion Detection for Known and Zero-Day Attacks.

Joseph P. Mchina, Neema Mduma, Ramadhani Saidi Sinde

Network, 2026

A Hybrid Deep Learning Model for SQL Injection Attack Detection.

Emanuel N. Casmiry, Ramadhani Saidi Sinde, Neema Mduma

IEEE Access, 2026

2025

Image Segmentation Deep Learning Model for Early Detection of Banana Diseases.

Christian A. Elinisa, Ciira Wa Maina, Anthony Vodacek, Neema Mduma

Appl. Artif. Intell., December, 2025

Enhancing detection of common bean diseases using Fast Gradient Sign Method-trained Vision Transformers.

Upendo Mwaibale, Neema Mduma, Hudson Laizer, Bonny Mgawe

Frontiers Artif. Intell., 2025

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers.

Emanuel N. Casmiry, Neema Mduma, Ramadhani Saidi Sinde

Frontiers Big Data, 2025

CS2023 Curriculum Guidelines and the Impact on Computer Science Education in Africa.

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

Proceedings of the ACM Global on Computing Education Conference 2025 Vol 1, 2025

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, March, 2024

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

2023

Data Balancing Techniques for Predicting Student Dropout Using Machine Learning.

Neema Mduma

Data, March, 2023

2022

Corrigendum: Poultry diseases diagnostics models using deep learning.

Dina Machuve, Ezinne Nwankwo, Neema Mduma, Jimmy T. Mbelwa

Frontiers Artif. Intell., 2022

Poultry diseases diagnostics models using deep learning.

Dina Machuve, Ezinne Nwankwo, Neema Mduma, Jimmy T. Mbelwa

Frontiers Artif. Intell., 2022

Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach.

Martina Mariki, Elizabeth Mkoba, Neema Mduma

Appl. Artif. Intell., 2022

2021

Document Digitization Technology and Its Application in Tanzania.

Mbonimpaye John, Beatus Mbunda, Victor Willa, Neema Mduma, Dina Machuve, Shubi Felix Kaijage

Proceedings of the Intelligent Systems and Applications, 2021

Machine Learning Model for Predicting Student Dropout: A Case of Tanzania, Kenya and Uganda.

Neema Mduma, Dina Machuve

Proceedings of the 2021 IEEE AFRICON, 2021

2019

A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction.

Neema Mduma, Khamisi Kalegele, Dina Machuve

Data Sci. J., 2019

2015

An Integrated Mobile Application for Enhancing Management of Nutrition Information in Arusha Tanzania.

Neema Mduma, Khamisi Kalegele

CoRR, 2015