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Transformer and variational autoencoder-based multi-view fusion intelligent decision network for automated rock breaking | Synapse
March 3, 2026
Transformer and variational autoencoder-based multi-view fusion intelligent decision network for automated rock breaking
SW
Shiwei Wang
YL
Yu Liu
Soochow University
JL
Jinguang Lin
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Key Points
Automated rock breaking increased decision accuracy, leading to potential efficiency gains.
Key metrics showed a significant improvement in operation precision with multi-view fusion methods.
Assessment using a hybrid intelligent decision network yields favorable outcomes for mining applications.
This approach may transform rock breaking efficiency, but further exploration is needed to refine techniques.
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Wang et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75c48c6e9836116a25005
https://doi.org/https://doi.org/10.1016/j.asoc.2026.114695