scikit-learn

Computer Forecasting of Butt-welding Quality of Reinforcing Profiles Using Machine Learning Methods

The study investigates mathematical and computer-based modeling of butt welding of galvanized steel strips employed in the fabrication of reinforcing profiles for window frame systems. The motivation of the research lies in the necessity to improve weld quality and stabilize production processes in industrial window manufacturing. The primary aim is to establish predictive  models capable of accurately estimating the structural strength of welded profiles from critical welding parameters.

METHODS AND MODELS OF MACHINE LEARNING IN CHEMISTRY AND MATERIAL SCIENCE USING SOLUTE DIFFUSION EXPERIMENT

Machine learning is a logical extension of automation using computer systems. While a large number of different areas of human activity have been improved by algorithmic software, a large number of other problems remain unsolved because creating an algorithm for them is almost impossible. One of these fields is science. The empirical approach is still main approach in achieving results, because for many studies there is still no clear mathematical apparatus.