Abstract: Deep learning (DL) exhibits excellent performance in seismic noise suppression, and DL successes are attributed to its ability to learn rich representations from a large amount of data.
Abstract: Data-driven techniques are reshaping blast furnace iron-making process (BFIP) modeling, but their “black-box” nature often obscures interpretability and accuracy. To overcome these ...
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