|
2026 Conference Publication JK-GEM: A retrieval-augmented generative AI system for accessing legacy mineral processing knowledgeForbes, Gordon, Zuluaga Bedoya, Christian and Yahyaei, Mohsen (2026). JK-GEM: A retrieval-augmented generative AI system for accessing legacy mineral processing knowledge. XXXII International Mineral Processing Congress, Cape Town, South Africa, 18-22 October 2026. SAIMM. |
|
2026 Other Outputs JK Mill Filling Inference Tool (MillFIT) - Site C - 2026Zuluaga Bedoya, Christian, Reji, Joel Joseph, Zare, Saeid, Ledezma, Tania, Forbes, Gordon, Hilden, Marko and Yahyaei, Mohsen (2026). JK Mill Filling Inference Tool (MillFIT) - Site C - 2026. Brisbane, QLD, Australia: The University of Queensland. |
|
2026 Other Outputs JK Mill Filling Inference Tool (MillFIT) - Site A - 2025Zuluaga Bedoya, Christian, Ledezma, Tania, Meng, Yuhao, Reji, Joel Joseph, Hilden, Marko, Forbes, Gordon and Yahyaei, Mohsen (2026). JK Mill Filling Inference Tool (MillFIT) - Site A - 2025. Brisbane, QLD, Australia: The University of Queensland. |
|
2026 Other Outputs JK Mill Filling Inference Tool (MillFIT) - Site A - 2026Zuluaga Bedoya, Christian Camilo, Ledezma, Tania, Zare, Saeid, Reji, Joel Joseph, Forbes, Gordon, Hilden, Marko and Yahyaei, Mohsen (2026). JK Mill Filling Inference Tool (MillFIT) - Site A - 2026. M Brisbane, QLD, Australia: The University of Queensland. |
|
2026 Other Outputs JK Mill Filling Inference Tool (MillFIT) - Site B - 2026Zuluaga Bedoya, Christian, Ledezma, Tania, Reji, Joel Joseph, Zare, Saeid, Forbes, Gordon, Hilden, Marko and Yahyaei, Mohsen (2026). JK Mill Filling Inference Tool (MillFIT) - Site B - 2026. S Brisbane, QLD, Australia: The University of Queensland. |
|
2026 Journal Article Impact of the fluidized bed flotation hydrodynamics on bubble interfacial film rupture and coalescenceSkliar, Anna, Verster, Isabella, Yenial-Arslan, Unzile, Forbes, Gordon and Forbes, Liza (2026). Impact of the fluidized bed flotation hydrodynamics on bubble interfacial film rupture and coalescence. Minerals Processing and Extractive Metallurgy Review, 47 (5), 617-628. doi: 10.1080/08827508.2025.2542830 |
|
2026 Conference Publication Soft sensors for grinding circuit control and optimisation: deployment at Newmont operations Ledezma, T., Bonfils, B., Randall, M., Hilden, M., Meng, Y., Forbes, G. and Yahyaei, M. (2026). Soft sensors for grinding circuit control and optimisation: deployment at Newmont operations . MetPlant Conference 2026, Adelaide, SA, Australia, 23-25 March 2026. Fulham Gardens, SA, Australia: MetVal Consulting. |
|
2025 Other Outputs Bubble size tool developmentForbes, Gordon, Campton, Allan, Skliar, Anna and Forbes, Liza (2025). Bubble size tool development. Brisbane, QLD, Australia: The University of Queensland. |
|
2025 Conference Publication Transforming comminution control with soft sensors: the Newmont-Cadia Valley Azure ML experienceLedezma, Tania, Randall, Martin, Tavasoli, Yash, Hilden, Marko, Meng, Yuhao, Forbes, Gordon and Yahyaei, Mohsen (2025). Transforming comminution control with soft sensors: the Newmont-Cadia Valley Azure ML experience. Mineria Digital 2025 12th International Congress on Automation, Robotics and Digitalization in Mining, Santiago, Chile, 8 - 10 July 2025. Santiago, Chile: Mineria Digital. |
|
2025 Other Outputs Development of a soft sensor for predicting dense medium cyclones performanceForbes, Gordon, Hilden, Marko, Ledezma, Tania and Zuluaga Bedoya, Christian Camilo (2025). Development of a soft sensor for predicting dense medium cyclones performance. Brisbane, QLD, Australia: The University of Queensland. |
|
2025 Other Outputs Development of a soft sensor for predicting dense medium cyclones performanceForbes, Gordon, Hilden, Marko, Ledezma, Tania and Zuluaga Bedoya, Christian (2025). Development of a soft sensor for predicting dense medium cyclones performance. Brisbane, QLD, Australia: The University of Queensland. |
|
2024 Journal Article Application of machine learning for generic mill liner wear prediction in Semi-Autogenous Grinding (SAG) millsPural, Yusuf Enes, Ledezma, Tania, Hilden, Marko, Forbes, Gordon, Boylu, Feridun and Yahyaei, Mohsen (2024). Application of machine learning for generic mill liner wear prediction in Semi-Autogenous Grinding (SAG) mills. Minerals, 14 (12) 1200, 1-16. doi: 10.3390/min14121200 |
|
2024 Other Outputs Feed and product characterisation for gravity separation modellingForbes, Gordon (2024). Feed and product characterisation for gravity separation modelling. Brisbane, QLD Australia: The University of Queensland. |
|
2024 Journal Article Sustainable resource management: the end of nickel mining?Nell (née Campbell), Kristy, Valenta, Richard K., Forbes, Gordon, Yahyaei, Mohsen and Ilyas, Hafiz M. A. (2024). Sustainable resource management: the end of nickel mining?. Recycling, 9 (6) 102, 1-17. doi: 10.3390/recycling9060102 |
|
2024 Conference Publication Coalescence in fluidized bed flotation: understanding the interplay between chemistry and hydrodynamicsSkliar, Anna, Verster, Isabella, Yenial Arslan, Unzile, Forbes, Gordon and Forbes, Liza (2024). Coalescence in fluidized bed flotation: understanding the interplay between chemistry and hydrodynamics. XXXI International Minerals Processing Congress, Washington, DC United States, 29 September-3 October 2024. Washington, DC United States: SME. |
|
2024 Journal Article Impact of pyrite textures prevalence on flotation performance in Mount Isa copper orebodiesJefferson Montoya, M., Jones, T.R, Curtis-Morar, C., Parbhakar-Fox, A., Forbes, G. and Forbes, E. (2024). Impact of pyrite textures prevalence on flotation performance in Mount Isa copper orebodies. Mineral Processing and Extractive Metallurgy Review, 46 (4), 502-516. doi: 10.1080/08827508.2024.2349204 |
|
2023 Conference Publication An object-based image recognition approach methodology for pyrite texture quantification in flotation performance studiesJefferson, Mayra, Forbes, Gordon, Brown, Elliot, Curtis-Morar, Catherine, Parbhakar-Fox, Anita and Elizaveta Forbes (2023). An object-based image recognition approach methodology for pyrite texture quantification in flotation performance studies. Procemin-GEOMET, Santiago, Chile, 4-6 October 2023. |
|
2023 Conference Publication Identification of semi-autogenous grinding mill operating states using clusteringAdhikari, Niranjan, Forbes, Gordon, Hilden, Marko and Yahyaei, Mohsen (2023). Identification of semi-autogenous grinding mill operating states using clustering. SAG Conference 2023, Vancouver, BC Canada, 24-28 September 2023. |
|
2023 Conference Publication Trusted automation, the pathway toward process automation of SABC circuitsYahyaei, M., Hilden, M. and Forbes, G. (2023). Trusted automation, the pathway toward process automation of SABC circuits. SAG Conference 2023, Vancouver, BC Canada, 24-28 September 2023. |
|
2023 Conference Publication Mine-to-mill the next phase—incorporating soft sensors and data analyticsMadrid, P., Forbes, G., Vizcarra, T., Hilden, M. and Wong, B. (2023). Mine-to-mill the next phase—incorporating soft sensors and data analytics. SAG 2023, Vancouver, BC, Canada, 24-28 September 2023. |
