Research Output per year
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.
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Classifiers
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Biometrics
Engineering & Materials Science
Mobile devices
Engineering & Materials Science
Cooking
Engineering & Materials Science
Sensors
Engineering & Materials Science
Metadata
Engineering & Materials Science
Hidden Markov models
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
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 journal › Article › Scientific › peer-review
Iron and steel industry
Monitoring
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. AmI 2019. Springer, p. 27-40 (Lecture Notes in Computer Science, Vol. 11912).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Productivity
Sensors
Health
Learning systems
Monitoring
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 journal › Article › Scientific › peer-review
Trajectories
Trajectory
Motion
Battery
Detector
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 proceeding › Conference article in proceedings › Scientific › peer-review
Open Access
Cooling water
Steel
Temperature distribution
Cooling
Strip mills
Detection of prolonged stress in smart office
Vildjiounaite, E., Huotari, V., Kallio, J., Kyllönen, V., Mäkelä, S. M. & Gimel’farb, G., 2018, Intelligent Computing: Proceedings of the 2018 Computing Conference. Kapoor, S., Bhatia, R. & Arai, K. (eds.). Springer, p. 1253-1261 9 p. (Advances in Intelligent Systems and Computing, Vol. 857).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Trajectories
Detectors
Hidden Markov models
Learning systems
Cameras