685 results on '"Carranza, Emmanuel John M."'
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2. Mapping of Gold Prospectivity in the Qingchengzi Pb–Zn–Ag–Au Polymetallic District, China, with Ensemble Learning Algorithms
3. An Uncertainty-Quantification Machine Learning Framework for Data-Driven Three-Dimensional Mineral Prospectivity Mapping
4. Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns
5. Unraveling the genesis of wolframite mineralization in the West Qinling Belt, China: Evidence from geochronology, geochemistry, and fluid inclusion study
6. A Framework for Data-Driven Mineral Prospectivity Mapping with Interpretable Machine Learning and Modulated Predictive Modeling
7. 3D Au Targeting using Machine Learning with Different Sample Combination and Return-Risk Analysis in the Sanshandao-Cangshang District, Shandong Province, China
8. Deep Vector Exploration via Alteration Footprints and Thermal Infrared Scalars for the Weilasituo Magmatic–Hydrothermal Li–Sn Polymetallic Deposit, Inner Mongolia, NE China
9. Machine Learning-Based Mapping for Mineral Exploration
10. Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets
11. Scheelite texture and geochemistry as a recorder of nature and timing of metallogenesis: an example from the Zhaishang Au–Sb–W deposit, western Qinling, central China
12. 3D modeling for mineral resource assessment of fluorite ore and its industrial application in Jbel Tirremi, northeast Morocco
13. Statistical analysis of gold production in South Africa using ARIMA, VAR and ARNN modelling techniques: Extrapolating future gold production, Resources–Reserves depletion, and Implication on South Africa's gold exploration
14. Principal components analysis and K-means clustering of till geochemical data: Mapping and targeting of prospective areas for lithium exploration in Västernorrland Region, Sweden
15. Exploratory Data Analysis
16. Mineral Prospectivity Analysis
17. Quantitative Target Selection
18. The multifractal nature of worldclass orogenic gold systems in greenstone belts: A multiscale approach and case study at the Córrego do Sítio deposit, Rio das Velhas greenstone belt, Brazil
19. A cell-based association data integration method for locating potential drilling targets: A case study at the Dalli Cu–Au porphyry deposit in Iran
20. Regional- to district-scale controls on thermal springs occurrence in South Africa: Insights from investigations of their spatial distribution and their spatial relationships with geological features
21. 3D Pore-Throat Microstructure Complexity of Igneous Reservoir Rock and its Effects on the Porosity–Permeability Relation
22. Machine Learning-Based Delineation of Geodomain Boundaries: A Proof-of-Concept Study Using Data from the Witwatersrand Goldfields
23. Trace metal content prediction along an AMD (acid mine drainage)-contaminated stream draining a coal mine using VNIR–SWIR spectroscopy
24. Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand goldfields
25. Ore genesis of the Laguhe Au deposit, West Qinling, China: Evidence from sulfide geochemistry and machine learning
26. Big geochemical data through remote sensing for dynamic mineral resource monitoring in tailing storage facilities
27. An integrated machine learning framework with uncertainty quantification for three-dimensional lithological modeling from multi-source geophysical data and drilling data
28. Spatial extrapolation of downscaled geochemical data using conditional GAN
29. First-Pass prospectivity mapping for Au–Ag mineralization in Sikhote–Alin Superterrane, Southeast Russia through field sampling, image enhancement on ASTER data, and MaxEnt modeling
30. Mapping of geological complexity and analyzing its relationship with the distribution of gold deposits in the Guangxi Gold Ore Province, Southern China
31. Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization
32. Mineralogy and geochemistry of tellurides, selenides and sulfides from the Zhaishang gold deposit, western Qinling, China: Implications for metallogenic processes
33. An Integrated Framework for Data-Driven Mineral Prospectivity Mapping Using Bagging-Based Positive-Unlabeled Learning and Bayesian Cost-Sensitive Logistic Regression
34. Short-Wavelength Infrared Spectral Analysis and 3D Vector Modeling for Deep Exploration in the Weilasituo Magmatic–Hydrothermal Li–Sn Polymetallic Deposit, Inner Mongolia, NE China
35. Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran
36. Developments in Quantitative Assessment and Modeling of Mineral Resource Potential: An Overview
37. Uncertainty Analysis of Geochemical Anomaly by Combining Sequential Indicator Co-simulation and Local Singularity Analysis
38. Mapping of Regional-scale Multi-element Geochemical Anomalies Using Hierarchical Clustering Algorithms
39. Mineral Prospectivity Mapping based on Isolation Forest and Random Forest: Implication for the Existence of Spatial Signature of Mineralization in Outliers
40. Three-Dimensional Pseudo-Lithologic Modeling Via Adaptive Feature Weighted k-Means Algorithm from Multi-Source Geophysical Datasets, Qingchengzi Pb–Zn–Ag–Au District, China
41. Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager
42. 3DU–TA: A new multifractal model involving surface topography for separation of geochemical anomalies
43. Contrasting Anomaly Patterns of Magmatic–Hydrothermal Polymetallic and Orogenic Gold Deposits and their Suitable Exploration Methods: A Case Study from the Qinling Orogen
44. Application of maximum entropy for mineral prospectivity mapping in heavily vegetated areas of Greater Kurile Chain with Landsat 8 data
45. Uncertainty Analysis of Thermodynamic Variables of Fluid Inclusions: A Deposit-Scale Spatial Exploratory Data Modeling through Fuzzy Kriging
46. Deep GMDH Neural Networks for Predictive Mapping of Mineral Prospectivity in Terrains Hosting Few but Large Mineral Deposits
47. Effectiveness of LOF, iForest, and OCSVM in detecting anomalies in stream sediment geochemical data
48. Mineral Assemblages and Ore-Forming Physicochemical Conditions of the La’erma and Qiongmo Au–Se Deposits in the Western Qinling Orogen, Central China
49. Interpretable Machine Learning for Geochemical Anomaly Delineation in the Yuanbo Nang District, Gansu Province, China
50. Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
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