Mineral Prospecting Prediction via Transfer Learning Based on Geological Big Data: A Case Study of Huayuan, Hunan, China
In the big data era, mineral explorations need to accommodate for the growth in spatial dimensions and data dimensions, as well as the data volume and the correlation between data. Aiming to overcome the problems of limited and scattered data sources, chaotic data types, questionable data quality, a...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
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Series: | Minerals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-163X/13/4/504 |