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20192024
most citedA Comparative Study with Traditional and Transfer Learning-enhanced Machine Learning Algorithms for Geotechnical Characterisation of Coal Spoil

2 citations · 5 across the 4 of their papers we have counts for

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stat.AP2024★ 2 cited

A Comparative Study with Traditional and Transfer Learning-enhanced Machine Learning Algorithms for Geotechnical Characterisation of Coal Spoil

Sureka Thiruchittampalam, Kuruparan Shanmugalingam, Bikram P Banarjee +2

The characterisation of materials is a prerequisite for evaluating and predicting the stability of mining waste dumps. Over the past three decades, the BHP Mitsubishi Alliance Coal…