Abstract The Qinghai-Tibet Plateau is distinguished by its diverse ecosystems and
biodiversity, which are highly dependent on their soil. In this study, a comprehensive …

This study has developed a novel variational autoencoder architecture by incorporating the
spectrum separable module, termed SSM-VAE, so as to recognize the multi-mineral-species …

Main aim of this study is to propose a developed zonality index for Cu–Mo porphyry deposits
based on staged factor analysis with Number-Size (N–S) fractal model. This method was …

Modelling the mass balance and forecasting the temporal variations of cadmium (Cd) in
farmland soil play a critical role in the development of mitigation strategies for Cd pollution …

Reconstructing geochemical data for anomaly detection using Generative Adversarial
Networks (GANs) has become a prevalent method in identifying geochemical anomalies …

Deep autoencoder (AE) networks show a powerful ability for geochemical anomaly
identification. Because of little contribution to the AE network, small probability samples …

Geochemical mapping has become essential to prospective assessments in both brownfield
and greenfield exploration targeting. During the last two decades, several techniques have …

The main goal of this present study is to apply an improved zonality index to epithermal gold
ores based on staged factor and number-size (NS) fractal analysis. This technique was …

With the world economy gradually shifting to alow‑carbon and greener model in recent
years, there is a growing need for developing key metals like lithium in economic …

Abstract The Qinghai-Tibet Plateau (QTP) is a vital region for global atmospheric circulation
and biodiversity. This study aims to evaluate the contents and enrichment status of 25 soil …