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 | 119 | 2014 |
Flotation froth image classification using convolutional neural networks M Zarie, A Jahedsaravani, M Massinaei Minerals Engineering 155, 106443, 2020 | 93 | 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 | 80 | 2019 |
An image segmentation algorithm for measurement of flotation froth bubble size distributions A Jahedsaravani, M Massinaei, MH Marhaban Measurement 111, 29-37, 2017 | 72 | 2017 |
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 | 47 | 2016 |
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 | 41 | 2014 |
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 | 32 | 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 |
Fuzzy-based modeling and control of an industrial flotation column A Jahedsaravani, N Mehrshad, M Massinaei Chemical Engineering Communications 201 (7), 896-908, 2014 | 25 | 2014 |
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 |
Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning M Massinaei, A Jahedsaravani, H Mohseni International Journal of Coal Preparation and Utilization 42 (7), 2204-2218, 2022 | 15 | 2022 |
Measurement of bubble size and froth velocity using convolutional neural networks A Jahedsaravani, M Massinaei, M Zarie Minerals Engineering 204, 108400, 2023 | 8 | 2023 |
Prediction of Froth Flotation Performance Using Convolutional Neural Networks A Jahedsaravani, M Massinaei, M Zarie Mining, Metallurgy & Exploration 40 (3), 923-937, 2023 | 4 | 2023 |
Application of Froth Images Classification and Clustering Based on Visual Features in Flotation Cell Performance A Jahedsaravani, M Massinaei, J Khalilpour Journal of Mineral Resources Engineering 4 (2), 133-146, 2019 | 1 | 2019 |
Improving the contrast of images with various brightness ranges Using wavelet transform M Zarie, A Jahed Saravani, F Sadeghi Almaloo, J Ranjbar Aerospace Defense 2 (3), 1-15, 2023 | | 2023 |
Automatic tracking of aerial targets using digital image processing A Jahedsaravani, M Zarie, J Ranjbar Aerospace Defense 2 (1), 98-113, 2023 | | 2023 |
Recognition and Tracking of Aerial Targets Using Convolutional Neural Network A Jahedsaravani Radar, 2022 | | 2022 |
Calculation of the Combined Threat of Air Targets Using Neuro-Fuzzy Systems H Mohseni, M Najafzadeh, M Zarie, A Jahed Saravania, S Zare Radar 9 (2), 69-78, 2022 | | 2022 |
Modeling and Control of an Industrial Flotation Column using Fuzzy Logic A Jahedsaravani, M Massinaei, N Mehrshad First International Conference on New Research Achievements in Electrical …, 2016 | | 2016 |
Automatic Control of Flotation Process Using Computer Vision A Jahedsaravani University Putra Malaysia, 2015 | | 2015 |