The blast furnace is a highly energy-intensive, highly polluting, and extremely complex
reactor in the ironmaking process. Soft sensors are a key technology for predicting molten …

Blast furnace (BF) ironmaking is the most typical “black box” process, and its complexity and
uncertainty bring forth great challenges for furnace condition judgment and BF operation …

Industrialized building construction is an approach that integrates manufacturing techniques
into construction projects to achieve improved quality, shortened project duration, and …

Representing causality in machine learning to predict control parameters is state-of-the-art
research in intelligent control. This study presents a physics-based machine learning …

This paper aims at medical text classification, where texts describe medicines, diseases, or
other medical topics. This field is still challenging since medical texts contain intensive …

Modeling interdependencies in a production process is a vital aspect of process
engineering. Being built on the fundamental understanding of the process and capturing …

In process industry, accurate and efficient univariate time series prediction (TSP) of key
process parameters is crucial for optimizing production processes. However, noisy data and …

Data-driven soft sensing modeling is becoming a powerful tool in the ironmaking process
due to the rapid development of machine learning and data mining. Although various soft …

In the process industries, the complex mechanisms, the many variables with complex
interactions, the high uncertainty and errors in instrumentation, etc. make it very difficult to …

Improving the explainability of Computer Vision models based on Deep Learning has
recently become a compelling problem, ensuring reliable predictions to the end-user and …