AUTHOR RESEARCH
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AI summaryProposes a workflow that embeds geological domain knowledge in input data, model design and output interpretation to address interpretability, generalisation and physical consistency in AI-based mineral prospectivity mapping.
AI summaryIntegrates prior geological knowledge into an adversarial autoencoder to identify geochemical anomalies associated with tungsten mineralisation in southern Jiangxi. Multifractal singularity analysis quantifies relationships between ore-controlling factors and known deposits to inform the model.