| 1 |
Image analysis estimation of iron ore particle segregation in epoxy blocks
Donskoi E, Raynlyn TD, Poliakov A
Minerals Engineering, 120, 102, 2018 |
| 2 |
Novel optical image analysis coke characterisation and its application to study of the relationships between coke Structure, coke strength and parent coal composition
Donskoi E, Poliakov A, Mahoney MR, Scholes O
Fuel, 208, 281, 2017 |
| 3 |
Iron ore textural information is the key for prediction of downstream process performance
Donskoi E, Poliakov A, Holmes R, Suthers S, Ware N, Manuel J, Clout J
Minerals Engineering, 86, 10, 2016 |
| 4 |
Automated relief-based discrimination of non-opaque minerals in optical image analysis
Poliakov A, Donskoi E
Minerals Engineering, 55, 111, 2014 |
| 5 |
Utilisation of ultrasonic treatment for upgrading of hematitic/goethitic iron ore fines
Donskoi E, Collings AF, Poliakov A, Bruckard WJ
International Journal of Mineral Processing, 114, 80, 2012 |
| 6 |
Modelling and optimization of hydrocyclone for iron ore fines beneficiation - using optical image analysis and iron ore texture classification
Donskoi E, Suthers SP, Campbell JJ, Raynlyn T
International Journal of Mineral Processing, 87(3-4), 106, 2008 |
| 7 |
Utilization of optical image analysis and automatic texture classification for iron ore particle characterisation
Donskoi E, Suthers SP, Fradd SB, Young JM, Campbell JJ, Raynlyn TD, Clout JMF
Minerals Engineering, 20(5), 461, 2007 |
| 8 |
Optimization of coal pyrolysis modeling
Donskoi E, McElwain DLS
Combustion and Flame, 122(3), 359, 2000 |
| 9 |
Approximate modelling of coal pyrolysis
Donskoi E, McElwain DLS
Fuel, 78(7), 825, 1999 |
