Iron Ore Information Extraction Based on CNN-LSTM Composite Deep Learning Model
In the mining, processing, and use of minerals, iron ore information identification is crucial. Traditional determination techniques are always accompanied by problems including lengthy experiment cycles, poor accuracy, exorbitant expenses, and significant workloads. In contrast, with the use of dat...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10902384/ |
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