| 1 |
Flotation froth image recognition with convolutional neural networks
Fu Y, Aldrich C
Minerals Engineering, 132, 183, 2019 |
| 2 |
Detection of under deposit corrosion in a CO2 environment by using electrochemical noise and recurrence quantification analysis
Hou Y, Aldrich C, Lepkova K, Kinsella B
Electrochimica Acta, 274, 160, 2018 |
| 3 |
Identifying corrosion of carbon steel buried in iron ore and coal cargoes based on recurrence quantification analysis of electrochemical noise
Hou Y, Aldrich C, Lepkova K, Kinsella B
Electrochimica Acta, 283, 212, 2018 |
| 4 |
Froth image analysis by use of transfer learning and convolutional neural networks
Fu YH, Aldrich C
Minerals Engineering, 115, 68, 2018 |
| 5 |
Removal of arsenic from gold cyanidation process waters by use of cerium-based magnetic adsorbents
Feng C, Aldrich C, Eksteen JJ, Arrigan DWM
Minerals Engineering, 122, 84, 2018 |
| 6 |
Atmospheric leach process of high-chromitite PGM-bearing oxidized mineralized ore through a single-stage and two-stage techniques
Mpinga CN, Eksteen JJ, Aldrich C, Dyer L
Minerals Engineering, 125, 165, 2018 |
| 7 |
Analysis of electrochemical noise data by use of recurrence quantification analysis and machine learning methods
Hou Y, Aldrich C, Lepkova K, Machuca LL, Kinsella B
Electrochimica Acta, 256, 337, 2017 |
| 8 |
Removal of arsenic from alkaline process waters of gold cyanidation by use of Fe3O4@SiO2@TiO2 nanosorbents
Feng C, Aldrich C, Eksteen JJ, Arrigan DWM
Minerals Engineering, 110, 40, 2017 |
| 9 |
Identification of the significant factors determining extractability of Ni and Cu after sulfation roasting of a PGM-bearing chromitite ore
Mpinga CN, Eksteen J, Aldrich C, Dyer L
Minerals Engineering, 110, 153, 2017 |
| 10 |
Detecting faults in process systems with singular spectrum analysis
Krishnannair S, Aldrich C, Jemwa GT
Chemical Engineering Research & Design, 113, 151, 2016 |
