Search
Search Results
-
Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity map**
Unsupervised clustering methods are used as data-driven models for map** of mineral prospectivity (MPM). One of the challenging problems for...
-
Mineral Informatics: Origins
As the most robust, information rich artifacts available for analysis and exploration, minerals provide us insights about planetary origins and...
-
Workflow-Induced Uncertainty in Data-Driven Mineral Prospectivity Map**
The primary goal of mineral prospectivity map** (MPM) is to narrow the search for mineral resources by producing spatially selective maps. However,...
-
Copper Isotopes Used in Mineral Exploration
The use of copper isotopes related to ore deposit location and genesis has greatly expanded over the past twenty years. The isotope values in ores,...
-
A Framework for Data-Driven Mineral Prospectivity Map** with Interpretable Machine Learning and Modulated Predictive Modeling
Although mineral prospectivity modeling (MPM) has undergone decades of development, it has not yet been widely adopted in the global mineral...
-
Knowledge-Driven Fuzzy AHP Model for Orogenic Gold Prospecting in a Typical Schist Belt Environment: A Mineral System Approach
In this paper, the knowledge-driven fuzzy AHP (FAHP) model was applied in the predictive prospectivity map** of orogenic gold deposits using the...
-
A Practical Approach to Constructing a Geological Knowledge Graph: A Case Study of Mineral Exploration Data
Open data initiatives have promoted governmental agencies and scientific organizations to publish data online for reuse. Research of geoscience...
-
Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling
Geological maps are powerful models for visualizing the complex distribution of rock types through space and time. However, the descriptive...
-
Supervised Mineral Prospectivity Map** via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets
Deep learning algorithms are increasingly being used in mineral prospectivity map** (MPM). As mineralization is a rare event, there are...
-
-
Application of remote sensing techniques in lithological and mineral exploration: discrimination of granitoids bearing iron and corundum deposits in southeastern Banyo, Adamawa region-Cameroon
Discrimination of granitoids bearing iron and corundum mineral deposits in the southeastern part of Banyo (Adamawa region of Cameroon) using Landsat...
-
Manganese mineral prospectivity based on deep convolutional neural networks in Songtao of northeastern Guizhou
The world has moved into an era of hidden ore body exploration, necessitating the development of new prospecting and exploration methods. One...
-
Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits
Carbonatites are the primary geological sources for rare earth elements (REEs) and niobium (Nb). This study applies machine learning techniques to...
-
Improving Mineral Prospectivity Model Generalization: An Example from Orogenic Gold Mineralization of the Sturgeon Lake Transect, Ontario, Canada
Despite the ever-increasing application of machine learning (ML) algorithms in mineral prospectivity modeling (MPM), poor generalization...
-
A Search-Oriented Method of Numerical Forecasting of Rare-Metal Proximal (Close-to-Source) Placers: Evidence from the Lovozero Placer District
AbstractRare metals, including rare-earth ones, represent an important raw material that determines the scientific and technological level of...
-
-
Modified symbiotic organisms search (SOS) algorithm for controlled-source audio-frequency magnetotellurics (CSAMT) one-dimensional (1D) modelling
AbstractA relatively new optimisation algorithm called symbiotic organisms search (SOS), which mimics survival efforts of organisms in an ecosystem,...
-
Geographical agent-based modeling and satellite image processing with application to facilitate the exploration of minerals in Behshahr, Iran
In many applications, studying how humans interact with their surroundings necessitates the use of more advanced adaptive systems and approaches,...
-
Inverse modelling via differential search algorithm for interpreting magnetic anomalies caused by 2D dyke-shaped bodies
AbstractAn inverse modelling study on the interpretation of magnetic anomalies caused by 2D dyke-shaped bodies was carried out using the differential...
-
A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction
Earth science research has entered a period of major transition centered on building new knowledge systems and driven by the overwhelming...
