Kauko Leiviskä
Kauko Leiviskä
Professor Emeritus in Control Engineering, University of Oulu
Verified email at
Cited by
Cited by
Quantitative prediction of residual stress and hardness in case-hardened steel based on the Barkhausen noise measurement
A Sorsa, K Leiviskä, S Santa-aho, T Lepistö
Ndt & E International 46, 100-106, 2012
Validation of genetic algorithm results in a fuel cell model
M Ohenoja, K Leiviskä
international journal of hydrogen energy 35 (22), 12618-12625, 2010
The advantages by the use of neural networks in modelling the fluidized bed granulation process
E Murtoniemi, J Yliruusi, P Kinnunen, P Merkku, K Leiviskä
International journal of pharmaceutics 108 (2), 155-164, 1994
Large-scale complex systems
FG Filip, K Leiviskä
Springer Handbook of Automation, 619-638, 2009
Advanced control of a rotary dryer
L Yliniemi, J Koskinen, K Leiviskä
IFAC Proceedings Volumes 31 (23), 119-124, 1998
Knowledge acquisition for decision support systems on an electronic assembly line
S Gebus, K Leiviskä
Expert systems with applications 36 (1), 93-101, 2009
Utilization of Barkhausen noise magnetizing sweeps for case-depth detection from hardened steel
S Santa-Aho, M Vippola, A Sorsa, K Leiviskä, M Lindgren, T Lepistö
Ndt & E International 52, 95-102, 2012
Wireless sensor networks in industrial automation
M Paavola, K Leiviska
Factory Automation, 2010
Intelligent analysis of energy consumption in school buildings
M Raatikainen, JP Skön, K Leiviskä, M Kolehmainen
Applied energy 165, 416-429, 2016
Continuous direct tablet compression: effects of impeller rotation rate, total feed rate and drug content on the tablet properties and drug release
MA Järvinen, J Paaso, M Paavola, K Leiviskä, M Juuti, F Muzzio, ...
Drug development and industrial pharmacy 39 (11), 1802-1808, 2013
Environmental impacts and benefits of smart home automation: Life cycle assessment of home energy management system
JN Louis, A Calo, K Leiviskä, E Pongrácz
IFAC-PapersOnLine 48 (1), 880-885, 2015
Development of Barkhausen noise calibration blocks for reliable grinding burn detection
S Santa-Aho, M Vippola, A Sorsa, J Latokartano, M Lindgren, K Leiviskä, ...
Journal of Materials Processing Technology 212 (2), 408-416, 2012
Real-coded genetic algorithms and nonlinear parameter identification
A Sorsa, R Peltokangas, K Leiviska
2008 4th International IEEE Conference Intelligent Systems 2, 10-42-10-47, 2008
Adaptive expert systems for metallurgical processes
EK Juuso, K Leiviskä
IFAC Proceedings Volumes 25 (17), 119-124, 1992
Modelling of a fed-batch fermentation process
U Saarela, K Leiviskä, E Juuso
University of Oulu, 2003
Data-driven framework for boiler performance monitoring
RP Nikula, M Ruusunen, K Leiviskä
Applied energy 183, 1374-1388, 2016
Linguistic equation controller applied to a solar collectors field
EK Juuso, P Balsa, K Leiviska
1997 European Control Conference (ECC), 997-1002, 1997
A dynamic model for indoor temperature prediction in buildings
P Hietaharju, M Ruusunen, K Leiviskä
Energies 11 (6), 1477, 2018
Effect of neural network topology and training end point in modelling the fluidized bed granulation process
E Murtoniemi, P Merkku, P Kinnunen, K Leiviskä, J Yliruusi
International journal of pharmaceutics 110 (2), 101-108, 1994
Calibration and validation of a modified ASM1 using long‐term simulation of a full‐scale pulp mill wastewater treatment plant
J Keskitalo, J la Cour Jansen, K Leiviskä
Environmental Technology 31 (5), 555-566, 2010
The system can't perform the operation now. Try again later.
Articles 1–20