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E.J.M. (John) Carranza
E.J.M. (John) Carranza
Professor of Economic Geology, University of the Free State, South Africa
Verifisert e-postadresse på ufs.ac.za - Startside
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Multi-and hyperspectral geologic remote sensing: A review
FD Van der Meer, HMA Van der Werff, FJA Van Ruitenbeek, CA Hecker, ...
International journal of applied Earth observation and geoinformation 14 (1 …, 2012
12132012
Geochemical anomaly and mineral prospectivity mapping in GIS
EJM Carranza
Elsevier, 2008
9152008
Arsenic geochemistry and health
AA Duker, EJM Carranza, M Hale
Environment international 31 (5), 631-641, 2005
7622005
Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)
J Farifteh, F Van der Meer, C Atzberger, EJM Carranza
Remote Sensing of Environment 110 (1), 59-78, 2007
5402007
Support vector machine: A tool for mapping mineral prospectivity
R Zuo, EJM Carranza
Computers & Geosciences 37 (12), 1967-1975, 2011
3952011
Analysis and mapping of geochemical anomalies using logratio-transformed stream sediment data with censored values
EJM Carranza
Journal of Geochemical Exploration 110 (2), 167-185, 2011
3302011
Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features
EJM Carranza
Ore Geology Reviews 35 (3-4), 383-400, 2009
3262009
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
3092003
Prediction–area (P–A) plot and C–A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling
M Yousefi, EJM Carranza
Computers & Geosciences 79, 69-81, 2015
2902015
Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
EJM Carranza, AG Laborte
Computers & Geosciences 74, 60-70, 2015
2732015
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
2612003
Deep learning and its application in geochemical mapping
R Zuo, Y Xiong, J Wang, EJM Carranza
Earth-science reviews 192, 1-14, 2019
2502019
Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines
EJM Carranza, M Hale
Ore Geology Reviews 22 (1-2), 117-132, 2003
2352003
Geochemical mineralization probability index (GMPI): a new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in …
M Yousefi, A Kamkar-Rouhani, EJM Carranza
Journal of Geochemical Exploration 115, 24-35, 2012
2232012
Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping
M Yousefi, EJM Carranza
Computers & Geosciences 74, 97-109, 2015
2222015
Cretaceous–Cenozoic tectonic history of the Jiaojia Fault and gold mineralization in the Jiaodong Peninsula, China: constraints from zircon U–Pb, illite K–Ar, and apatite …
J Deng, C Wang, L Bagas, EJM Carranza, Y Lu
Mineralium Deposita 50, 987-1006, 2015
2192015
Fuzzy modeling of farmers' knowledge for land suitability classification
RS Sicat, EJM Carranza, UB Nidumolu
Agricultural systems 83 (1), 49-75, 2005
2062005
Data-driven predictive mapping of gold prospectivity, Baguio district, Philippines: Application of Random Forests algorithm
EJM Carranza, AG Laborte
Ore Geology Reviews 71, 777-787, 2015
2052015
Geologically constrained fuzzy mapping of gold mineralization potential, Baguio district, Philippines
EJM Carranza, M Hale
Natural Resources Research 10, 125-136, 2001
2032001
Spatio-temporal occurrences and mineralogical–geochemical characteristics of airborne dusts in Khuzestan Province (southwestern Iran)
A Zarasvandi, EJM Carranza, F Moore, F Rastmanesh
Journal of geochemical exploration 111 (3), 138-151, 2011
2012011
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Artikler 1–20