61 citations · 115 across the 6 of their papers we have counts for
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cs.LG2024★ 30 cited
Remote sensing framework for geological mapping via stacked autoencoders and clustering
Sandeep Nagar, Ehsan Farahbakhsh, Joseph Awange +1
Supervised machine learning methods for geological mapping via remote sensing face limitations due to the scarcity of accurately labelled training data that can be addressed by uns…
cs.LG2021★ 15 cited
A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, R. Dietmar Muller +1
The decline of the number of newly discovered mineral deposits and increase in demand for different minerals in recent years has led exploration geologists to look for more efficie…