| Reinforcement learning and deep neural networks for PI controller tuning WJ Shipman, LC Coetzee IFAC-PapersOnLine 52 (14), 111-116, 2019 | 44 | 2019 |
| The application of machine learning to the problem of classifying voxels in X-ray microtomographic scans of mineralogical samples WJ Shipman, AL Nel, D Chetty, JD Miller, CL Lin 2013 IEEE International Conference on Industrial Technology (ICIT), 1184-1189, 2013 | 6 | 2013 |
| Characterization of a Small Helicopter UAV’s Main Rotor Blade through Image Processing WJ Shipman, Y Roodt, F du Plessis Proceedings of the Twentieth Annual Symposium of the Pattern Recognition …, 2009 | 2 | 2009 |
| Learning to Tune a Class of Controllers with Deep Reinforcement Learning WJ Shipman Minerals 11 (9), 989, 2021 | 1 | 2021 |
| Optimizing Milling Operations using Continuum-Armed Bandits with Multiple Reward Components and Constraints WJ Shipman SACAIR 2021, 2021 | | 2021 |
| Enhanced Gold Recovery and Reduced Cyanide Wastage via Integrated Cyanide Analyser and Model Predictive Controller WJ Shipman, DT Jordan, LC Coetzee, G Kalenga, T Mahlangu Proceedings of the XXX International Mineral Processing Congress, 2021 | | 2021 |
| The extraction of quantitative mineralogical parameters from X-ray micro-tomography data using image processing techniques in three dimensions WJ Shipman University of Johannesburg, 2017 | | 2017 |
| Using multiple graphics processing units to register X-ray micro-CT and SEM/EDX images obtained from a copper ore WJ Shipman, D Chetty, AL Nel 21st General Meeting of the International Mineralogical Association (IMA2014), 2014 | | 2014 |
| A multi-GPU implementation of diffusion operators within 3D volumes WJ Shipman, AL Nel, D Chetty IEEE AFRICON 2013, 537-542, 2013 | | 2013 |
| The Nonlinear Modelling and Model Predictive Control of a Miniature Helicopter UAV WJ Shipman University of Johannesburg, 2012 | | 2012 |
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