This study combines data-driven-based logistic functions with prediction–area (P–A) plot for delineating target areas of orogenic Au deposits in the eastern margin Qinling metallogenic belt, central China. First, appropriate geological and geochemical factors were identified, optimized, transformed into a series fuzzy numbers range 0–1 through function order to determine evidence layer prospect...

A knowledge graph is becoming popular due to its ability describe the real world by using a language that can be understood both humans and machines computer technologies. case study construct of porphyry copper deposits presented in this paper. First all, raw text data collected integrated from selected porphyry-skarn Qinzhou Bay – Hangzhou metallogenic belt, South China. Second, text's entiti...

The decline of the number newly discovered mineral deposits and increase in demand for different minerals recent years has led exploration geologists to look more efficient innovative methods processing data types at each stage exploration. As a primary step, various features, such as lithological units, alteration types, structures, indicator minerals, are mapped aid decision-making targeting ...

Abstract Nickel sulfide deposits occur in ultramafic rocks the Daxinganling area, China; however, prospectivity of these has received little attention. This study transformed rasterized regional 1:200,000 geochemical data into spectral-like and then used hyperspectral tools spectral angle mapper (SAM) to classify possible lithologies multirange feature fitting (MRSFF) method prospective areas t...

The development of mineral prospectivity mapping (MPM), which aims to outline and prioritize exploration targets, has been spurred by advances in data-driven machine learning algorithms. Supervised MPM is a typical few-shot task, suffering from scarcity labeled data, the over-fitting models an uncertainty predictions. main objective this contribution propose robust framework (FSL), combining da...

The study area, located in the southern section of the Central Iranian volcano–sedimentary complex, contains a large number of mineral deposits and occurrences which is currently facing a shortage of resources. Therefore, the prospecting potential areas in the deeper and peripheral spaces has become a high priority in this region. Different direct and indirect methods try to predict promising a...