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Mohammad Massinaei
Mohammad Massinaei
Associate Professor of Mineral Processing
在 birjand.ac.ir 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1132014
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
1132014
Flotation froth image classification using convolutional neural networks
M Zarie, A Jahedsaravani, M Massinaei
Minerals Engineering 155, 106443, 2020
852020
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
772019
Removal of the residual xanthate from flotation plant tailings using modified bentonite
R Rezaei, M Massinaei, AZ Moghaddam
Minerals Engineering 119, 1-10, 2018
692018
An image segmentation algorithm for measurement of flotation froth bubble size distributions
A Jahedsaravani, M Massinaei, MH Marhaban
Measurement 111, 29-37, 2017
692017
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
682019
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
632014
Improving flocculation and dewatering performance of iron tailings thickeners
R Arjmand, M Massinaei, A Behnamfard
Journal of Water Process Engineering 31, 100873, 2019
562019
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
502010
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
482009
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
452015
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
412016
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
412015
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
402014
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
362011
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
302017
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
252016
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
232016
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
232007
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