۱ | Measurement of wear pattern of studs on High-Pressure Grinding Rolls (HPGR) | Mohammad Massinaei | Journal of Geomine | 2023 |
۲ | Removal of the residual xanthate from flotation plant tailings using bentonite modified by magnetic nano-particles | Mohammad Massinaei | Minerals Engineering | 2019 |
۳ | Estimation of metallurgical parameters of flotation process from froth visual features | Mohammad Massinaei | International Journal of Mining And Geo-Engineering | 2015 |
۴ | Novel tunable composites based on bentonite and modified tragacanth gum for removal of acid dyes from aqueous solutions | Mohammad Massinaei | RSC Advances | 2015 |
۵ | Removal of the residual xanthate from flotation plant tailings using modified bentonite | Mohammad Massinaei | Minerals Engineering | 2018 |
۶ | Modeling of Bubble Surface Area Flux in an Industrial Rougher Column Using Artificial Neural Network and Statistical Techniques | Mohammad Massinaei, | Minerals Engineering | 2010 |
۷ | Prediction of the metallurgical performances of a batch flotation system by image analysis and neural networks | Mohammad Massinaei,, | Minerals Engineering | 2014 |
۸ | Using data mining to assess and model the metallurgical efficiency of a copper concentrator | Mohammad Massinaei,,, | Chemical Engineering Communications | 2014 |
۹ | Modeling the relationship between froth bubble size and flotation performance using image analysis and neural networks | Mohammad Massinaei,,,Nasser Mehrshad | Chemical Engineering Communications | 2015 |
۱۰ | Improving flocculation and dewatering performance of iron tailings thickeners | Mohammad Massinaei,Ali Behnamfard | Journal of Water Process Engineering | 2019 |
۱۱ | Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning | Mohammad Massinaei,Ali Jahedsaravani,Hossein Mohseni | International Journal of Coal Preparation and Utilization | 2022 |
۱۲ | Measurement of bubble size and froth velocity using convolutional neural networks | Mohammad Massinaei,Ali JAhedsaravani,M. Zarie | Minerals Engineering | 2023 |
۱۳ | Prediction of Froth Flotation Performance Using Convolutional Neural Networks | Mohammad Massinaei,Ali Jahedsaravani,Mehdi Zarie | Mining Metallurgy & Exploration | 2023 |
۱۴ | Optimization of the metallurgical performance of an industrial flotation column using neural network and GSA (Gravitational Search Algorithm) | Mohammad Massinaei,Hamid Falaghi | Canadian Metallurgical Quarterly | 2013 |
۱۵ | Application of Statistical and Intelligent Techniques for Modeling of Metallurgical Performance of a Batch Flotation Process | Mohammad Massinaei,Jahed Saravani Ali | Chemical Engineering Communications | 2016 |
۱۶ | Application of image processing and adaptive neuro-fuzzy system for estimation of the metallurgical parameters of flotation process | Mohammad Massinaei,Jahedsaravani A.,Marhaban M.H.,Noor S.B. | Chemical Engineering Communications | 2016 |
۱۷ | Froth-based modeling and control of a batch flotation process | Mohammad Massinaei,Jahedsaravani A.,Marhaban M.H.,Saripan M.I.,Noor S.B.M. | International Journal of Mineral Processing | 2016 |
۱۸ | Machine vision based monitoring and analysis of a coal column flotation circuit | Mohammad Massinaei,Jahedsaravani Ali,Khalilpour Javad | Powder Technology | 2019 |
۱۹ | Development of a machine vision system for real-time monitoring and control of batch flotation process | Mohammad Massinaei,Jahedsaravani Ali,Marhaban M.H. | International Journal of Mineral Processing | 2017 |
۲۰ | An image segmentation algorithm for measurement of flotation froth bubble size distributions | Mohammad Massinaei,Jahedsaravani Ali,Marhaban M.H. | Measurement | 2017 |