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Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods.

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Title: Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods.
Authors: Najafabadipour, Amirhossein1 (AUTHOR) najafabadipour@ujiroft.ac.ir, Hassanzadeh, Fereshteh2 (AUTHOR) f.hassanzadeh@eng.uk.ac.ir, Kordestani, Meghdad3 (AUTHOR) m.kordestani@mi.iut.ac.ir
Source: Environmental Geochemistry & Health. Apr2025, Vol. 47 Issue 4, p1-19. 19p.
Database: Environment Complete
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        Value: 10.1007/s10653-025-02419-7
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        Text: English
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      – TitleFull: Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods.
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              Text: Apr2025
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              Y: 2025
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              Value: 47
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