Artificial neural networks for mineral-potential mapping: a case study from Aravalli Province, Western India A Porwal, EJM Carranza, M Hale Natural resources research 12, 155-171, 2003 | 335 | 2003 |
Knowledge-driven and data-driven fuzzy models for predictive mineral potential mapping A Porwal, EJM Carranza, M Hale Natural Resources Research 12, 1-25, 2003 | 278 | 2003 |
Towards automatic lithological classification from remote sensing data using support vector machines L Yu, A Porwal, EJ Holden, MC Dentith Computers & Geosciences 45, 229-239, 2012 | 251 | 2012 |
A hybrid neuro-fuzzy model for mineral potential mapping A Porwal, EJM Carranza, M Hale Mathematical geology 36 (7), 803-826, 2004 | 198 | 2004 |
Weights-of-evidence and logistic regression modeling of magmatic nickel sulfide prospectivity in the Yilgarn Craton, Western Australia A Porwal, I Gonzalez-Alvarez, V Markwitz, TC McCuaig, A Mamuse Ore Geology Reviews 38 (3), 184-196, 2010 | 197 | 2010 |
A hybrid fuzzy weights-of-evidence model for mineral potential mapping A Porwal, EJM Carranza, M Hale Natural Resources Research 15, 1-14, 2006 | 179 | 2006 |
Bayesian network classifiers for mineral potential mapping A Porwal, EJM Carranza, M Hale Computers & Geosciences 32 (1), 1-16, 2006 | 174 | 2006 |
Exploration targeting for orogenic gold deposits in the Granites-Tanami Orogen: Mineral system analysis, targeting model and prospectivity analysis A Joly, A Porwal, TC McCuaig Ore Geology Reviews 48, 349-383, 2012 | 165 | 2012 |
Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration A Porwal, EJM Carranza Ore geology reviews 71, 477-483, 2015 | 147 | 2015 |
Introduction to the special issue: mineral prospectivity analysis and quantitative resource estimation AK Porwal, OP Kreuzer Ore Geology Reviews 38 (3), 121-127, 2010 | 126 | 2010 |
Mapping geochemical singularity using multifractal analysis: application to anomaly definition on stream sediments data from Funin Sheet, Yunnan, China J Bai, A Porwal, C Hart, A Ford, L Yu Journal of Geochemical Exploration 104 (1-2), 1-11, 2010 | 98 | 2010 |
GIS-based 3D prospectivity mapping: A case study of Jiama copper-polymetallic deposit in Tibet, China K Xiao, N Li, A Porwal, EJ Holden, L Bagas, Y Lu Ore Geology Reviews 71, 611-632, 2015 | 96 | 2015 |
Fuzzy inference systems for prospectivity modeling of mineral systems and a case-study for prospectivity mapping of surficial Uranium in Yeelirrie Area, Western Australia A Porwal, RD Das, B Chaudhary, I Gonzalez-Alvarez, O Kreuzer Ore Geology Reviews 71, 839-852, 2015 | 94 | 2015 |
Extended weights-of-evidence modelling for predictive mapping of base metal deposit potential in Aravalli province, western India A Porwal, EJM Carranza, M Hale Exploration and Mining Geology 10 (4), 273-287, 2001 | 93 | 2001 |
Mineral systems approach applied to GIS-based 2D-prospectivity modelling of geological regions: Insights from Western Australia A Joly, A Porwal, TC McCuaig, B Chudasama, MC Dentith, ARA Aitken Ore Geology Reviews 71, 673-702, 2015 | 80 | 2015 |
Random forest-based prospectivity modelling of greenfield terrains using sparse deposit data: An example from the Tanami Region, Western Australia S Hariharan, S Tirodkar, A Porwal, A Bhattacharya, A Joly Natural Resources Research 26, 489-507, 2017 | 76 | 2017 |
Regional prospectivity analysis for hydrothermal-remobilised nickel mineral systems in western Victoria, Australia VA Lisitsin, I González-Álvarez, A Porwal Ore Geology Reviews 52, 100-112, 2013 | 74 | 2013 |
Mineral potential mapping with mathematical geological models AK Porwal | 74 | 2006 |
CNN-based super-resolution of hyperspectral images PV Arun, KM Buddhiraju, A Porwal, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6106-6121, 2020 | 70 | 2020 |
Hyperspectral image processing and analysis BK Mohan, A Porwal Current Science, 833-841, 2015 | 70 | 2015 |