Critical review highlights advancements in machine learning and data fusion for enhancing heavy metal detection in XRF spectroscopy, indicating improved analytical capabilities.
X-ray fluorescence (XRF) spectroscopy is a widely used, non-destructive technique for rapid and cost-effective elemental analysis of soils, ores, and alloys.
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Al-Tameemi et al. (2026) studied this question.
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