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Fingerprint Dive into the research topics where Vesa Kyllönen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Monitoring Engineering & Materials Science
Classifiers Engineering & Materials Science
Biometrics Engineering & Materials Science
Mobile devices Engineering & Materials Science
Iron and steel industry Engineering & Materials Science
Cooking Engineering & Materials Science
Sensors Engineering & Materials Science
Metadata Engineering & Materials Science

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Research Output 2002 2019

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

Tamminen, S., Ferreira, E., Tiensuu, H., Helaakoski, H., Kyllönen, V., Jokisaari, J., Puukko, E. & Röning, J., 28 Oct 2019, In : International Journal of Industrial and Systems Engineering. 33, 3, p. 291-313 23 p.

Research output: Contribution to journalArticleScientificpeer-review

Iron and steel industry
Supervisory personnel
Industrial applications
Stainless steel

Classifying Teachers’ Self-reported Productivity, Stress and Indoor Environmental Quality Using Environmental Sensors

Kallio, J., Vildjiounaite, E., Kyllönen, V., Ronkainen, J., Koivusaari, J., Muuraiskangas, S., Räsänen, P., Similä, H. & Vehmas, K., Nov 2019, Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings. Chatzigiannakis, I., De Ruyter, B. & Mavrommati, I. (eds.). Springer, p. 27-40 14 p. (Lecture Notes in Computer Science, Vol. 11912).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Learning systems

Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods

Backman, J., Kyllönen, V. & Helaakoski, H., 2019, In : IFAC-PapersOnLine. 52, 13, p. 1174-1179 6 p.

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

Open Access
Iron and steel industry
Quality management
Artificial intelligence
Learning systems

Unobtrusive assessment of stress of office workers via analysis of their motion trajectories

Vildjiounaite, E., Huotari, V., Kallio, J., Kyllönen, V., Mäkelä, S. M. & Gimel'farb, G., 1 Aug 2019, In : Pervasive and Mobile Computing. 58, 101028.

Research output: Contribution to journalArticleScientificpeer-review


Analytical approximations and simulation tools for water cooling of hot rolled steel strip

Pohjonen, A., Kyllönen, V. & Paananen, J., 2018, Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016. Linköping university electronic press, p. 728-734 (Linköping Electronic Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Open Access
Cooling water
Temperature distribution
Strip mills