A review of machine learning in processing remote sensing data for mineral exploration H Shirmard, E Farahbakhsh, RD Müller, R Chandra Remote Sensing of Environment 268, 112750, 2022 | 173 | 2022 |
Integration of selective dimensionality reduction techniques for mineral exploration using ASTER satellite data H Shirmard, E Farahbakhsh, A Beiranvand Pour, AM Muslim, RD Müller, ... Remote Sensing 12 (8), 1261, 2020 | 56 | 2020 |
Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data E Farahbakhsh, R Chandra, HKH Olierook, R Scalzo, C Clark, SM Reddy, ... International Journal of Remote Sensing 41 (5), 1760-1787, 2020 | 56 | 2020 |
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models HKH Olierook, R Scalzo, D Kohn, R Chandra, E Farahbakhsh, C Clark, ... Geoscience Frontiers 12 (1), 479-493, 2021 | 46 | 2021 |
A comparative study of convolutional neural networks and conventional machine learning models for lithological mapping using remote sensing data H Shirmard, E Farahbakhsh, E Heidari, A Beiranvand Pour, B Pradhan, ... Remote Sensing 14 (4), 819, 2022 | 45 | 2022 |
Assessment of prospective areas for providing the geochemical anomaly maps of lead and zinc in Parkam district, Kerman, Iran SS Ghannadpour, A Hezarkhani, A Maghsoudi, E Farahbakhsh Geosciences Journal 19, 431-440, 2015 | 27 | 2015 |
Fusing ASTER and QuickBird-2 satellite data for detailed investigation of porphyry copper deposits using PCA; case study of Naysian deposit, Iran E Farahbakhsh, H Shirmard, A Bahroudi, T Eslamkish Journal of the Indian Society of Remote Sensing 44, 525-537, 2016 | 23 | 2016 |
An investigation of Pb geochemical behavior respect to those of Fe and Zn based on k-Means clustering method SS Ghannadpour, A Hezarkhani, E Farahbakhsh Journal of Tethys 1 (4), 291-302, 2013 | 21 | 2013 |
Modeling geochemical anomalies of stream sediment data through a weighted drainage catchment basin method for detecting porphyry Cu-Au mineralization E Farahbakhsh, R Chandra, T Eslamkish, RD Müller Journal of Geochemical Exploration 204, 12-32, 2019 | 17 | 2019 |
Three-dimensional weights of evidence modelling of a deep-seated porphyry Cu deposit E Farahbakhsh, A Hezarkhani, T Eslamkish, A Bahroudi, R Chandra Geochemistry: Exploration, Environment, Analysis 20 (4), 480-495, 2020 | 12 | 2020 |
Hydrothermal alteration and structural mapping of the Qolqoleh-Kasnazan shear zone in Iran using remote sensing data M Maleki, S Niroomand, E Farahbakhsh, S Modabberi, HA Tajeddin Arabian Journal of Geosciences 14, 1-14, 2021 | 8 | 2021 |
Anomaly-background separation and geochemical map generation for Pb and Zn in Parkam district based on U–statistical method, Kerman, Iran SS Ghannadpour, A Hezarkhani, E Farahbakhsh International Journal of Economic and Environmental Geology, 29-36, 2019 | 8 | 2019 |
A comparison between knowledge-driven fuzzy and data-driven artificial neural network approaches for prospecting porphyry Cu mineralization; a case study of Shahr-e-Babak area … B Shokouh Saljoughi, A Hezarkhani, E Farahbakhsh Journal of Mining and Environment 9 (4), 917-940, 2018 | 7 | 2018 |
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models HKH Olierook, R Scalzo, D Kohn, R Chandra, E Farahbakhsh, ... Solid Earth Discussions, 2019 | 6 | 2019 |
A comparative study of fractal models and U-statistic method to identify geochemical anomalies; case study of Avanj porphyry system, Central Iran B Shokouh Saljoughi, A Hezarkhani, E Farahbakhsh Journal of Mining and Environment 9 (1), 209-227, 2018 | 6 | 2018 |
Application of AVO attributes and fluid replacement in determining AVO anomaly; case study of Aboozar oil field, Iran SR Bakhtiari, E Farahbakhsh, RH Moghadam Journal of Tethys 2 (3), 242-253, 2014 | 4 | 2014 |
Analysis of Pb, Zn and Fe relative geochemical behavioral characteristics in Parkam porphyry system: a k-means clustering SS Ghannadpour, E Farahbakhsh, A Hezarkhani 1st International Conference on Mining, Mineral Processing, Metallurgical …, 2013 | 4 | 2013 |
Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging E Farahbakhsh, J Maughan, RD Müller Ore Geology Reviews, 105665, 2023 | 2 | 2023 |
Investigating the effect of fractures on unusual gas emission in coal mines; case study of Parvadeh coal mine, Iran E Farahbakhsh, MJ Pourjafari, L Faramarzi, T Eslamkish International Journal of Mining and Geo-Engineering 50 (2), 163-168, 2016 | 2 | 2016 |
Recovery of zinc from effluent of plants and mines M Shamsi, E Farahbakhsh 2nd International Conference on Advances in Engineering, Sciences and …, 2014 | 1 | 2014 |