Continuous casting is the most important route for the production of steel today. Due to the
physical, mechanical, and chemical components involved in the production, continuous …

The importance of solar power generation facilities, as one of the renewable energy types, is
increasing daily. This study proposes a two-way validation approach to verify the validity of …

Contexto: Este artículo contiene un análisis de las aplicaciones de las distintas técnicas de
Deep Learning y Machine Learning utilizadas en un gran rango de industrias para …

Destructive manual experiments are primarily used for quality assessment of electron beam
welded components, which consume the resources and time significantly. Vision-based and …

Traditionally, mathematical optimization methods have been applied in manufacturing
industries where production scheduling is one of the most important problems and is being …

Manufacturing and production processes have become more complicated and usually
consist of multiple stages to meet customers' requirements. This poses big challenges for …

The steelmaking industry is one of the most energy-intensive industries and is responsible
for 4% of the world's total greenhouse gas emissions. Solutions to improve operational …

In this paper, a machine learning framework based on Kaizen Programming is proposed for
building a soft-sensor using real historical data from an oil refinery. The soft-sensor …

Accurate and timely predictions of transverse cracks in slabs are crucial for ensuring efficient
and high-quality production in continuous casting. However, the accumulation of substantial …

The article contains information about machine learning methods used in modern
metallurgy. The description of machine learning methods and their role in the processing of …