The recent advances in artificial intelligence have already begun to penetrate our daily lives.
Even though the development is still in its infancy, it has been shown that it can outperform …

The paradigm of advanced materials has grown exponentially over the last decade, with
their new dimensions including digital design, dynamics, and functions. Materials modeling …

Hydrological models play a crucial role in water planning and decision making. Machine
Learning-based models showed several drawbacks for frequent high and a wide range of …

The variations in thickness at the head and tail significantly impact the product quality in
tandem cold rolling. Improving rolling force calculation accuracy under speed-up and speed …

Contamination of agricultural soils with trace metals is of concern as it poses potential long-
term threats to water resources, aquatic species, and human health. Therefore, fast, accurate …

Heavy metal pollution in soil is threatening the ecological environment and human health.
However, field measurement of heavy metal content in soil entails significant costs …

With the rise and vigorous development of artificial intelligence (AI) and data mining
methodologies, machine learning (ML) has been successfully and widely used in industrial …

The prediction of the effective length of steel plates is essential for improving the yield. Due
to the complexity of variables and the lack of measuring means, there are few efficient and …

Surrogate models, both polynomial and ANN-based (artificial neural networks), are
developed to predict the rolling load in cold rolling of flat metals. An accurate but fast model …

The increase in exploitation durability of two-layer cast rolls with the working layer made of
high chromium cast iron allows one to significantly improve the quality of rolled metal as well …