DAMPNN: Dynamic Adaptive Message Passing Neural Network for Industrial Soft Sensor.

TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes.

A graph-guided network with adaptive evaluation and improvement for disturbed sensors in fault-tolerant soft sensor modeling.

Data-Driven Joint Fault Diagnosis Based on RMK-ASSA and DBSKNet for Blast Furnace Iron-Making Process.

One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction.

Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace.

Ontology guided multi-level knowledge graph construction and its applications in blast furnace ironmaking process.

Collaborative Extraction of Intervariable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces.

Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach.