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Andrei Poliakov
Andrei Poliakov
Senior Experimental Scientist, CSIRO
Verified email at csiro.au
Title
Cited by
Cited by
Year
Iron ore textural information is the key for prediction of downstream process performance
E Donskoi, A Poliakov, R Holmes, S Suthers, N Ware, J Manuel, J Clout
Minerals Engineering 86, 10-23, 2016
452016
Comparative study of iron ore characterisation using a scanning electron microscope and optical image analysis
E Donskoi, JR Manuel, P Austin, A Poliakov, MJ Peterson, S Hapugoda
Applied Earth Science 122 (4), 217-229, 2013
352013
Novel optical image analysis coke characterisation and its application to study of the relationships between coke structure, coke strength and parent coal composition
E Donskoi, A Poliakov, MR Mahoney, O Scholes
Fuel 208, 281-295, 2017
312017
Automated optical image analysis of natural and sintered iron ore
E Donskoi, A Poliakov, JR Manuel
Iron Ore, 101-159, 2015
292015
Utilisation of ultrasonic treatment for upgrading of hematitic/goethitic iron ore fines
E Donskoi, AF Collings, A Poliakov, WJ Bruckard
International Journal of Mineral Processing 114, 80-92, 2012
272012
Automated relief-based discrimination of non-opaque minerals in optical image analysis
A Poliakov, E Donskoi
Minerals Engineering 55, 111-124, 2014
262014
Novel developments in optical image analysis for iron ore, sinter and coke characterisation
E Donskoi, A Poliakov, JR Manuel, M Peterson, S Hapugoda
Applied Earth Science 124 (4), 227-244, 2015
252015
Image analysis estimation of iron ore particle segregation in epoxy blocks
E Donskoi, TD Raynlyn, A Poliakov
Minerals Engineering 120, 102-109, 2018
222018
Advances in optical image analysis and textural classification of iron ore fines
E Donskoi, A Poliakov, JR Manuel, TD Raynlyn
Proceedings of the XXV International Mineral Processing Congress—IMPC2010 …, 2010
182010
Utilization of iron ore texture information for prediction of downstream process performance
E Donskoi, RJ Holmes, JR Manuel, JJ Campbell, A Poliakov, SP Suthers, ...
Proceedings of the 9th International Congress for Applied Mineralogy …, 2008
182008
Comparative study of iron ore characterisation by optical image analysis and QEMSCAN (TM)
E Donskoi, JR Manuel, P Austin, A Poliakov, MJ Peterson, S Hapugoda
Australasian Institute of Mining and Metallurgy. Proceedings of the Iron Ore …, 2011
162011
Automated optical image analysis of goethitic iron ores
E Donskoi, JR Manuel, S Hapugoda, A Poliakov, T Raynlyn, P Austin, ...
Mineral Processing and Extractive Metallurgy 131 (1), 14-24, 2022
152022
Industrial strength optical image analysis system–Mineral4/Recognition4
E Donskoi, A Poliakov, JR Manuel, M Peterson, S Hapugoda
Proceedings of the Iron Ore, 227-241, 2013
132013
Advances in optical image analysis textural segmentation in ironmaking
E Donskoi, A Poliakov
Applied Sciences 10 (18), 6242, 2020
112020
Importance of textural information in mathematical modelling of iron ore fines sintering performance
E Donskoi, JR Manuel, L Lu, RJ Holmes, A Poliakov, TD Raynlyn
Mineral Processing and Extractive Metallurgy 127 (2), 103-114, 2018
112018
Automated optical image analysis of iron ore sinter
E Donskoi, S Hapugoda, JR Manuel, A Poliakov, MJ Peterson, H Mali, ...
Minerals 11 (6), 562, 2021
92021
Advances in mathematical modelling of sintering performance of iron ore fines
E Donskoi, JR Manuel, L Lu, RJ Holmes, A Poliakov, T Raynlyn
Proceedings, Iron Ore, 341-349, 2009
82009
Separation of touching particles in optical image analysis of iron ores and its effect on textural and liberation characterization
A Poliakov, E Donskoi
European Journal of Mineralogy 31 (3), 485-505, 2019
72019
Geometallurgical characterisation of Australian iron Ores-from Ore to processed product
S Suthers, M Pownceby, J Manuel, N Ware, E Donskoi, A Poliakov
The third Ausimm international geometallurgy conference, 15-16, 2016
62016
Examination of ultrasonic treatment of iron ore fines using automatic iron ore texture classification
E Donskoi, JJ Campbell, JM Young, T Raynlyn, A Poliakov
Australasian Institute of Mining and Metallurgy Publication Series, 251-257, 2007
62007
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