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Kauko Leiviskä
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Journal Articles
- 2019
- [j10]Riku-Pekka Nikula
, Konsta Karioja
Prediction of mechanical stress in roller leveler based on vibration measurements and steel strip properties. J. Intell. Manuf. 30(4): 1563-1579 (2019) - 2018
- [j9]Markku Ohenoja
Model Structure Optimization for Fuel Cell Polarization Curves. Comput. 7(4): 60 (2018) - [j8]Outi Mäyrä, Mika Ruusunen, Marja Jalli, Lauri Jauhiainen, Kauko Leiviskä:
Plant Disease Outbreak - Prediction by Advanced Data Analysis. Simul. Notes Eur. 28(3): 113-115 (2018) - 2012
- [j7]Jukka Keskitalo, Kauko Leiviskä
Application of evolutionary optimisers in data-based calibration of Activated Sludge Models. Expert Syst. Appl. 39(7): 6609-6617 (2012) - 2010
- [j6]Mika Rantonen, Tapio Frantti, Kauko Leiviskä
Fuzzy expert system for load balancing in symmetric multiprocessor systems. Expert Syst. Appl. 37(12): 8711-8720 (2010) - 2009
- [j5]Sébastien Gebus, Kauko Leiviskä
Knowledge acquisition for decision support systems on an electronic assembly line. Expert Syst. Appl. 36(1): 93-101 (2009) - [j4]Sébastien Gebus, Esko Juuso, Kauko Leiviskä
Knowledge-based linguistic equations for defect detection through functional testing of printed circuit boards. Expert Syst. Appl. 36(1): 292-302 (2009) - 2007
- [j3]Timo Ahola, Esko Juuso, Kauko Leiviskä:
Variable Selection and Grouping in a Paper Machine Application. Int. J. Comput. Commun. Control 2(2): 111-120 (2007) - 2005
- [j2]Timo Ahola, Kauko Leiviskä:
Case-Based Reasoning in Web Break Sensitivity Evaluation in a Paper Machine. J. Adv. Comput. Intell. Intell. Informatics 9(5): 556-561 (2005) - 2003
- [j1]Leena Yliniemi, Jukka Koskinen
Data-driven fuzzy modelling of a rotary dryer. Int. J. Syst. Sci. 34(14-15): 819-836 (2003)
Conference and Workshop Papers
- 2018
- [c12]Markku Ohenoja, Aki Sorsa
Genetic Algorithms in Model Structure Identification for Fuel Cell Polarization Curve. CoDIT 2018: 539-544 - 2014
- [c11]Jukka Keskitalo, Kauko Leiviskä
Artificial Neural Network Ensembles in Hybrid Modelling of Activated Sludge Plant. IEEE Conf. on Intelligent Systems (1) 2014: 683-694 - 2012
- [c10]Aki Sorsa, Anssi Koskenniemi, Kauko Leiviskä:
Differential Evolution in Parameter Identification - Fuel Cell as an Example. ICINCO (1) 2012: 40-49 - [c9]Marko Paavola, Mika Ruusunen
Information Theoretic Approach to Improve Performance of Networked Control Systems. IDA 2012: 253-263 - 2009
- [c8]Aki Sorsa
Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation. ICANNGA 2009: 213-222 - [c7]Kauko Leiviskä
Elman network in Kappa number prediction. ICONS 2009: 477-483 - 2007
- [c6]Sébastien Gebus, Kauko Leiviskä:
Defect-related knowledge acquisition for decision support systems in electronics assembly. ICINCO-ICSO 2007: 270-275 - 2006
- [c5]Leena Yliniemi, Kauko Leiviskä:
Process Control Across Network. Parallel and Distributed Computing and Networks 2006: 168-173 - 2005
- [c4]Jari Näsi, Aki Sorsa
Sensor Validation And Outlier Detection Using Fuzzy Limits. CDC/ECC 2005: 7828-7833 - [c3]Mika Ruusunen, Marko Paavola, Mika Pirttimaa, Kauko Leiviskä:
Comparison of three change detection algorithms for an electronics manufacturing process. CIRA 2005: 679-683 - [c2]Ari Isokangas, Mika Ruusunen, Kauko Leiviskä:
Systematic approach to model-based data surveyd. ICINCO 2005: 60-65 - 1995
- [c1]Leena Yliniemi, Kauko Leiviskä:
Simulation of a Rotary Dryer with Multimedia. EUROSIM 1995: 1335-1340
Parts in Books or Collections
- 2009
- [p1]Florin Gheorghe Filip, Kauko Leiviskä:
Large-Scale Complex Systems. Handbook of Automation 2009: 619-638
Coauthor Index
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