[HTML][HTML] A recipe for an effective selection of promising candidates for high-temperature superconductors among binary hydrides

IA Wrona, P Niegodajew, AP Durajski - Materials Today Physics, 2024 - Elsevier
Recent research on compressed binary hydrides have unveiled the potential for achieving
superconductivity at near-room-temperature. Nevertheless, the available decision-making …

An online quality monitoring tool for information acquisition and sharing in manufacturing: requirements and solutions for the steel industry

S Tamminen, E Ferreira, H Tiensuu… - … of Industrial and …, 2019 - inderscienceonline.com
The purpose of this study was to develop an innovative online supervisor system to assist
the operators of an industrial manufacturing process in discovering new solutions for …

From measurements to knowledge-online quality monitoring and smart manufacturing

S Tamminen, H Tiensuu, E Ferreira… - Advances in Data …, 2018 - Springer
The purpose of this study was to develop an innovative supervisor system to assist the
operators in an industrial manufacturing process to help discover new alternative solutions …

Ai enhanced alarm presentation for quality monitoring

S Tamminen, X Liu, H Tiensuu… - … on Internet of Things …, 2018 - ieeexplore.ieee.org
This paper presents an AI based method for improving poorly performing quality prediction
models. The method improves automatically the usability of the low quality alarm predictions …

Modelling the quality of the steel products under challenging measurement conditions

H Tiensuu - 2022 - oulurepo.oulu.fi
Industry is increasingly moving towards data-driven business. With an abundance of data,
the problem is no longer how to get access to data but how to extract the most value from it …

Intelligent methods for root cause analysis behind the center line deviation of the steel strip

H Tiensuu, S Tamminen, O Haapala, J Röning - Open Engineering, 2020 - degruyter.com
This article presents a statistical prediction model-based intelligent decision support tool for
center line deviation monitoring. Data mining methods enable the data driven …

Satu Tamminen¹ (), Henna Tiensuu¹, Eija Ferreira¹, Heli Helaakoski2

V Kyllönen, J Jokisaari, E Puukko… - Advances in Data …, 2018 - books.google.com
The purpose of this study was to develop an innovative supervisor system to assist the
operators in an industrial manufacturing process to help discover new alternative solutions …