Prediction of the metallurgical performances of a batch flotation system by image analysis and neural networks A Jahedsaravani, MH Marhaban, M Massinaei Minerals Engineering 69, 137-145, 2014 | 113 | 2014 |
Estimation of particle size distribution on an industrial conveyor belt using image analysis and neural networks E Hamzeloo, M Massinaei, N Mehrshad Powder technology 261, 185-190, 2014 | 113 | 2014 |
Flotation froth image classification using convolutional neural networks M Zarie, A Jahedsaravani, M Massinaei Minerals Engineering 155, 106443, 2020 | 85 | 2020 |
Machine vision based monitoring and analysis of a coal column flotation circuit M Massinaei, A Jahedsaravani, E Taheri, J Khalilpour Powder technology 343, 330-341, 2019 | 77 | 2019 |
Removal of the residual xanthate from flotation plant tailings using modified bentonite R Rezaei, M Massinaei, AZ Moghaddam Minerals Engineering 119, 1-10, 2018 | 69 | 2018 |
An image segmentation algorithm for measurement of flotation froth bubble size distributions A Jahedsaravani, M Massinaei, MH Marhaban Measurement 111, 29-37, 2017 | 69 | 2017 |
Removal of the residual xanthate from flotation plant tailings using bentonite modified by magnetic nano-particles A Amrollahi, M Massinaei, AZ Moghaddam Minerals Engineering 134, 142-155, 2019 | 68 | 2019 |
Machine vision based monitoring of an industrial flotation cell in an iron flotation plant A Mehrabi, N Mehrshad, M Massinaei International Journal of Mineral Processing 133, 60-66, 2014 | 63 | 2014 |
Improving flocculation and dewatering performance of iron tailings thickeners R Arjmand, M Massinaei, A Behnamfard Journal of Water Process Engineering 31, 100873, 2019 | 56 | 2019 |
Modeling of bubble surface area flux in an industrial rougher column using artificial neural network and statistical techniques M Massinaei, R Doostmohammadi Minerals Engineering 23 (2), 83-90, 2010 | 50 | 2010 |
Hydrodynamic and kinetic characterization of industrial columns in rougher circuit M Massinaei, M Kolahdoozan, M Noaparast, M Oliazadeh, J Yianatos, ... Minerals Engineering 22 (4), 357-365, 2009 | 48 | 2009 |
Modeling the relationship between froth bubble size and flotation performance using image analysis and neural networks MR Hosseini, HHA Shirazi, M Massinaei, N Mehrshad Chemical Engineering Communications 202 (7), 911-919, 2015 | 45 | 2015 |
Froth-based modeling and control of a batch flotation process A Jahedsaravani, MH Marhaban, M Massinaei, MI Saripan, SBM Noor International Journal of Mineral Processing 146, 90-96, 2016 | 41 | 2016 |
Novel tunable composites based on bentonite and modified tragacanth gum for removal of acid dyes from aqueous solutions S Sadeghi, AZ Moghaddam, M Massinaei RSC advances 5 (69), 55731-55745, 2015 | 41 | 2015 |
Development of a new algorithm for segmentation of flotation froth images A Jahedsaravani, MH Marhaban, M Massinaei, MI Saripan, N Mehrshad Mining, Metallurgy & Exploration 31, 66-72, 2014 | 40 | 2014 |
New image-processing algorithm for measurement of bubble size distribution from flotation froth images N Mehrshad, M Massinaei Mining, Metallurgy & Exploration 28, 146-150, 2011 | 36 | 2011 |
Development of a machine vision system for real-time monitoring and control of batch flotation process A Jahedsaravani, M Massinaei, MH Marhaban International Journal of Mineral Processing 167, 16-26, 2017 | 30 | 2017 |
Application of statistical and intelligent techniques for modeling of metallurgical performance of a batch flotation process A Jahedsaravani, MH Marhaban, M Massinaei Chemical Engineering Communications 203 (2), 151-160, 2016 | 25 | 2016 |
Application of image processing and adaptive neuro-fuzzy system for estimation of the metallurgical parameters of a flotation process A Jahedsaravani, M Massinaei, MH Marhaban Chemical Engineering Communications 203 (10), 1395-1402, 2016 | 23 | 2016 |
Mixing characteristics of industrial columns in rougher circuit M Massinaei, M Kolahdoozan, M Noaparast, M Oliazadeh, M Sahafipour, ... Minerals Engineering 20 (15), 1360-1367, 2007 | 23 | 2007 |