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Unsupervised Autoencoder-Based Feature Ranking and Anomaly Detection for Porphyry Copper Prospectivity Mapping from Multi-Source Geospatial Datasets.

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Bibliographic Details
Title:	Unsupervised Autoencoder-Based Feature Ranking and Anomaly Detection for Porphyry Copper Prospectivity Mapping from Multi-Source Geospatial Datasets.
Authors:	Saremi, Mobin¹ (AUTHOR), Hoseinzade, Zohre² (AUTHOR), Shirazy, Adel^1,3 (AUTHOR), Shirazi, Aref^1,4 (AUTHOR), Beiranvand Pour, Amin^4,5 (AUTHOR) beiranvand.pour@umt.edu.my
Source:	Minerals (2075-163X). Jun2026, Vol. 16 Issue 6, p660. 24p.
Database:	Academic Search Ultimate
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Description
ISSN:	2075163X
DOI:	10.3390/min16060660