| Recent Advances in Flotation Froth Image Analysis C Aldrich, E Avelar, X Liu Minerals Engineering 188, 107823, 2022 | 33 | 2022 |
| A preliminary study on assessing the Brunauer-Emmett-Teller analysis for disordered carbonaceous materials J Zou, C Fan, Y Jiang, X Liu, W Zhou, H Xu, L Huang Microporous and Mesoporous Materials 327, 111411, 2021 | 27 | 2021 |
| Deep Learning Approaches to Image Texture Analysis in Material Processing X Liu, C Aldrich Metals 12 (2), 355, 2022 | 19 | 2022 |
| Effects of molecular cross-sectional areas of adsorbed nitrogen on the Brunauer–Emmett–Teller analysis for carbon-based slit pores J Zou, C Fan, X Liu Langmuir 36 (48), 14656-14665, 2020 | 18 | 2020 |
| Study on flotation properties of emulsified diesel oil X Weiwei, H Kaiwu, W Donghui, Z Yuran, L Xiu Energy Procedia 14, 750-755, 2012 | 13 | 2012 |
| Monitoring of flotation systems by use of multivariate froth image analysis C Aldrich, X Liu Minerals 11 (7), 683, 2021 | 12 | 2021 |
| Explaining Anomalies in Coal Proximity and Coal Processing Data with Shapley and Tree-Based Models X Liu, C Aldrich Fuel 335, 126891, 2022 | 9 | 2022 |
| Microscopic characterization of xenon adsorption in wedge pores X Liu, C Fan, DD Do Adsorption 25, 1043-1055, 2019 | 8 | 2019 |
| Monitoring of froth flotation with transfer learning and principal component models X Liu, C Aldrich 2021 Australian & New Zealand Control Conference (ANZCC), 110-115, 2021 | 7 | 2021 |
| A temperature-dependent potential model for mercury in the description of vapour-liquid equilibrium & adsorption in activated carbon X Liu, C Fan, DD Do, V Pareek, P Yang Chemical Engineering Science 215, 115453, 2020 | 5 | 2020 |
| Quantitative Texture Analysis with Convolutional Neural Networks C Aldrich, X Liu IoT Enabled Convolutional Neural Network : Techniques and Applications 11, 2023 | 4 | 2023 |
| A k-Shot Learning Approach to Recognition of Flotation Froth Conditions with Convolutional Neural Networks X Liu, C Aldrich IFAC-PapersOnLine, 2022 | 4 | 2022 |
| N235+ TBP preextraction of Zr from wolframine residue containing Sc C Ding, X Liu, XH Wang, ZQ Shan, XH Zhang, CR He Met. Mine, 112-116, 2016 | 4 | 2016 |
| Fault Detection and Identification in an Acid Gas Removal Unit Using Deep Autoencoders TK Kathlyn, H Zabiri, C Aldrich, X Liu, AAAM Amiruddin ACS Omega, 2023 | 3 | 2023 |
| Monitoring of a Platinum Group Metal Flotation Plant with an Isolation Forest X Liu, C Aldrich 2022 Australian & New Zealand Control Conference (ANZCC), 93-97, 2022 | 3 | 2022 |
| Assessing the influence of operational variables on process performance in metallurgical plants by use of Shapley value regression X Liu, C Aldrich Metals 12 (11), 1777, 2022 | 3 | 2022 |
| Explaining Convolutional Neural Network Predictions of Particle Size in the Underflow of a Hydrocyclone J Olivier, C Aldrich, X Liu IFAC-PapersOnLine, 2022 | 3 | 2022 |
| Adsorptive Separation of Carbon Dioxide at Ambient Temperatures in Activated Carbon AHH Sim, X Liu, C Fan Carbon Capture Science & Technology, 2022 | 3 | 2022 |
| The Effects of Potential Model of CO2 on its Bulk Phase Properties and Adsorption on Surfaces and in Pores X Liu, AHH Sim, C Fan Molecular Simulation, 2022 | 3 | 2022 |
| Flotation Froth Image Recognition Using Vision Transformers X Liu, C Aldrich IFAC-PapersOnLine 56 (2), 2329-2334, 2023 | 2 | 2023 |
Chris AldrichProcess Systems Engineering在 curtin.edu.au 的电子邮件经过验证
