| A novel workflow for streamflow prediction in the presence of missing gauge observations R Mbuvha, JYP Adounkpe, MCM Houngnibo, WT Mongwe, Z Nikraftar, ... Environmental Data Science 2, e23, 2023 | 3 | 2023 |
| Predicting Discharge in Catchment Outlet Using Deep Learning: Case Study of the Ansongo-Niamey Basin JYP Adounkpe, EA Alamou, BAA Diallo, A Ali NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 | 3 | 2021 |
| Imputation of missing streamflow data at multiple gauging stations in Benin Republic R Mbuvha, JYP Adounkpe, WT Mongwe, M Houngnibo, N Newlands, ... arXiv preprint arXiv:2211.11576, 2022 | 2 | 2022 |
| Development of a Governance Resilience Index (GRI) for measuring climate adaptation governance S Venkataswamy, P Adounkpe, G Amarnath EGU General Assembly Conference Abstracts, EGU-16115, 2023 | | 2023 |
| Multi-hazard risk mapping using machine learning P Adounkpe, S Ghosh, G Amarnath CGIAR, 2022 | | 2022 |
Rendani MbuvhaDeepMind Academic Fellow, Queen Mary University of LondonVerified email at wits.ac.za
