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Kauko Leiviskä
Kauko Leiviskä
Professor Emeritus in Control Engineering, University of Oulu
Verified email at oulu.fi
Title
Cited by
Cited by
Year
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
1252012
Validation of genetic algorithm results in a fuel cell model
M Ohenoja, K Leiviskä
international journal of hydrogen energy 35 (22), 12618-12625, 2010
1162010
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
831994
Large-scale complex systems
FG Filip, K Leiviskä
Springer Handbook of Automation, 619-638, 2009
802009
Advanced control of a rotary dryer
L Yliniemi, J Koskinen, K Leiviskä
IFAC Proceedings Volumes 31 (23), 119-124, 1998
801998
Knowledge acquisition for decision support systems on an electronic assembly line
S Gebus, K Leiviskä
Expert systems with applications 36 (1), 93-101, 2009
792009
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
732012
Wireless sensor networks in industrial automation
M Paavola, K Leiviska
Factory Automation, 2010
642010
Intelligent analysis of energy consumption in school buildings
M Raatikainen, JP Skön, K Leiviskä, M Kolehmainen
Applied energy 165, 416-429, 2016
572016
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
572013
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
562015
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
562012
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
522008
Adaptive expert systems for metallurgical processes
EK Juuso, K Leiviskä
IFAC Proceedings Volumes 25 (17), 119-124, 1992
451992
Modelling of a fed-batch fermentation process
U Saarela, K Leiviskä, E Juuso
University of Oulu, 2003
412003
Data-driven framework for boiler performance monitoring
RP Nikula, M Ruusunen, K Leiviskä
Applied energy 183, 1374-1388, 2016
402016
Linguistic equation controller applied to a solar collectors field
EK Juuso, P Balsa, K Leiviska
1997 European Control Conference (ECC), 997-1002, 1997
401997
A dynamic model for indoor temperature prediction in buildings
P Hietaharju, M Ruusunen, K Leiviskä
Energies 11 (6), 1477, 2018
392018
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
381994
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
372010
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