[HTML][HTML] A recipe for an effective selection of promising candidates for high-temperature superconductors among binary hydrides
Recent research on compressed binary hydrides have unveiled the potential for achieving
superconductivity at near-room-temperature. Nevertheless, the available decision-making …
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
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 …
the operators of an industrial manufacturing process in discovering new solutions for …
From measurements to knowledge-online quality monitoring and smart manufacturing
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 …
operators in an industrial manufacturing process to help discover new alternative solutions …
Ai enhanced alarm presentation for quality monitoring
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 …
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 …
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
This article presents a statistical prediction model-based intelligent decision support tool for
center line deviation monitoring. Data mining methods enable the data driven …
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 …
operators in an industrial manufacturing process to help discover new alternative solutions …