Groundwater prediction using machine-learning tools EA Hussein, C Thron, M Ghaziasgar, A Bagula, M Vaccari Algorithms 13 (11), 300, 2020 | 70 | 2020 |
Feature reduction for the classification of bruise damage to apple fruit using a contactless FT-NIR spectroscopy with machine learning JFI Nturambirwe, EA Hussein, M Vaccari, C Thron, WJ Perold, UL Opara Foods 12 (1), 210, 2023 | 17 | 2023 |
Regional rainfall prediction using support vector machine classification of large-scale precipitation maps E Hussein, M Ghaziasgar, C Thron 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020 | 14 | 2020 |
Rainfall prediction using machine learning models: literature survey EA Hussein, M Ghaziasgar, C Thron, M Vaccari, Y Jafta Artificial Intelligence for Data Science in Theory and Practice, 75-108, 2022 | 13 | 2022 |
Basic statistical estimation outperforms machine learning in monthly prediction of seasonal climatic parameters EA Hussein, M Ghaziasgar, C Thron, M Vaccari, A Bagula Atmosphere 12 (5), 539, 2021 | 11 | 2021 |
Comparison of phenolic content and antioxidant activity for fermented and unfermented Rooibos samples extracted with water and methanol EA Hussein, C Thron, M Ghaziasgar, M Vaccari, JL Marnewick, ... Plants 11 (1), 16, 2021 | 9 | 2021 |
Big data processing using hadoop and spark: The case of meteorology data E Hussein, R Sadiki, Y Jafta, MM Sungay, O Ajayi, A Bagula e-Infrastructure and e-Services for Developing Countries: 11th EAI …, 2020 | 3 | 2020 |
A Comprehensive Framework for Hackathon-Driven Educational Research E Hussein, C Thron, K Govender, M Vaccari, WD Tucker Available at SSRN 4687314, 2023 | | 2023 |
Geo-physical parameter forecasting on imagery {based data sets using machine learning techniques E Hussein University of Western Cape, 2021 | | 2021 |