Abstract: High-quality predictions of key indicators are essential to maintain stable production in the iron and steel industry. However, most existing prediction methods rely on manually designed ...
Semi-Supervised Learning of Multi-Scale Graph Neural Networks for Industrial Process Fault Diagnosis
Abstract: The scarcity of labeled data is a critical challenge in industrial process multi-scale modeling, as learning reliable models from limited labeled data and large-scale unlabeled data is ...
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