Practical Machine Learning: A Beginner's Guide with Ethical Insights
Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani, Godbless G. Minja, Kulwa MalyangoTaylor & Francis, 2025
From Bias to Balance: Navigating Gender Inclusion in AI
Gloriana J. Monko and Mohamedi M. MjahidiIntechOpen, 2024
Data Balancing Techniques for Predicting Student Dropout Using Machine Learning
Neema Mduma.Frontiers/Frontiers in Artificial Intelligence, 2023
Multi-level Association Rule Mining for the Discovery of Strong Underrepresented Patterns
Glory C. Malamsha, Devotha G. Nyambo.Engineering, Technology & Applied Science Research(ETASR), 2023
Automated Optimization-Based Deep Learning Models for Image Classification Tasks
Daudi Mashauri Migayo, Shubi Kaijage, Stephen Swetala, and Devotha G. Nyambo.MDPI, 2023
Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania
Neema Mduma and Hudson LaizerScienceDirect/Data in Brief, 2023
Dataset of banana leaves and stem images for object detection, classification and segmentation: A case of Tanzania
Neema Mduma and Judith Leo.ScienceDirect/Data in Brief, 2023
Research on mining software repositories to facilitate refactoring
Ally S. Nyamawe.WIREs/WIREs Data Mining and Knowledge Discovery, 2023
The industry 4.0 technologies, opportunities and challenges for developing countries: a systematic literature review analysis
Matendo Didas and Frederick ChaliACCENTS Journals/International Journal of Advanced Computer Research, 2024
Exploring the status of artificial intelligence for healthcare research in Africa: a bibliometric and thematic analysis.
Tabu S. Kondo, Salim A. Diwani, Ally S. Nyamawe & Mohamed M. Mjahidi.SPRINGER NATURE Link/AI and Ethics, 2023
Uncovering service gaps and patterns in smallholder dairy production systems: A data mining approach
Devotha G. Nyambo.ScienceDirect/Scientific African, 2024
Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants
Erica Hargety Kimei, Devotha G. Nyambo, Neema Mduma and Shubi Kaijage.MDPI, 2024
Mobile-Based convolutional neural network model for the early identification of banana diseases
Christian A. Elinisa and Neema MdumaScienceDirect/Smart Agricultural Technology, 2024
Updating “machine learning imagery dataset for maize crop: A case of Tanzania” with expanded data to cover the new farming season
Neema Mduma and Flavia MayoScienceDirect/Data in Brief, 2024
Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania
Flavia Mayo, Ciira Maina, Mvurya Mgala and Neema MdumaFrontiers/Frontiers in Artificial Intelligence, 2024
Common beans imagery dataset for early detection of bean rust and bean anthracnose diseases.
Hudson Laizer, Neema Mduma, Dina Machuve and Reinfrid MagangaScienceDirect/Data in Brief, 2024
The Nexus of Big Data and Big Data Analytics for Managerial Business Decision-Making: A Systematic Review Analysis.
Matendo Didas, Frederick Chali and Noe Elisa.Journal of ICT Systems, 2024
Data Synthesis Technique for Categorical Peste des Petits Ruminants (PPR) Data Using CTGAN Model
Devotha G. Nyambo; Nguse Ngulumbi; Neema Mduma; Ramadhani Sinde; Tumaini Lyimo.IEEE/IEEE Xplore, 2023
Machine learning model for predicting Peste des Petits Ruminants
Devotha G. Nyambo; Nguse Ngulumbi; Neema Mduma; Ramadhani Sinde; Tumaini Lyimo.IEEE, 2023
Multi-Model PPR Disease Prediction Using Machine Learning Algorithms
Kasian Myagila; Julius Sabas; Patrick N. Mark; Bally Omary; Michael Peter; Devotha G. Nyambo.IEEE, 2023
Requirements for Building a Business-Driven Reference Architecture for Implementation of Big Data Analytics by Public Sector Organizations: A Case Study of Uganda
Matendo Didas; Frederick Chali; Noe Elisa; Jabhera Matogoro.IEEE, 2025
An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses
Ali Ziryawulawo; Neema Mduma; Martine Lyimo; Adonia Mbarebaki; Richard Madanda; Anael Sam.IEEE, 2023
Regulatory Strategies for Fostering Responsible AI Innovation in African Economies
Deo Shao; Nyankomo Marwa; Didas Matendo.IEEE, 2023
Identification of Resistant Common Bean Genotypes to Foliar Diseases using Hyperspectral Data: Review.
Josiane Irakiza; Shubi Kaijage; Judith Leo; Teshale Mamo; Hope Mbelwa; David GuerenaIEEE, 2024
Application of Deep Learning in Forest Fire Prediction: A Systematic Review
Cesilia Mambile; Shubi Kaijage; Judith Leo.IEEE, 2024
AI for Anglophone Africa: Unlocking its adoption for responsible solutions in academia-private sector
Ramadhani Sinde, Salim Diwani, Judith Leo, Tabu Kondo, Noe Elisa, Jabhera Matogoro.Frontiers/Frontiers in Artificial Intelligence, 2023