Selected list of publications
- Sirola M. Strategy generator in accident management support system. VTT Publications 163. Espoo, Finland, 1994.
- Sirola M. Generating strategies for managing accidents. Nuclear Engineering International. 1994.
- Fantoni P., Meyer G., Nurmilaukas P., Sirola M., Sorenssen A. The CAMS prototype. NKS/RAK-2(95)TR-B1. Halden, Norway, 1995.
- Laakso K., Sirola M., Holmberg J. Decision modelling for maintenance and safety. International Journal of Condition Monitoring and Diagnostic Engineering Management. 1999.
- Sirola M. Computerized decision support systems in failure and maintenance
management of safety critical processes. VTT Publications 397. Espoo, Finland, 1999.
- Sirola, Miki. Conceptual decision model. International Scientific Journal of Computing. 2003.
- Sirola, Miki. Decision concepts. International Scientific Journal of Computing. 2004.
- Sirola, Miki; Lampi, Golan; Parviainen Jukka. SOM based decision support
in failure management. International Scientific Journal of Computing. 2005.
- Sirola, Miki. Applying decision analysis method in accident management process control problem. Systems Science. 2006.
- Sirola, Miki; Talonen, Jaakko. Combining neural methods and knowledge-based methods in accident management. Advances in Artificial Neural Systems. 2012.
- Sirola, Miki; Talonen, Jaakko. Self-Organizing Map based visualization techniques and their assessment. International Journal of Computing. 2012.
- Sirola, Miki. Perspectives in science - interdisciplinary examples in data-analysis visualization and political decicion making. International Journal of Computing. 2013.
- Sirola, Miki; Talonen, Jaakko; Sulkava, Mika. Improving support estimates by fusion of pre-election data. International Journal of Computing. 2016.
- Toosi, Topi; Sirola, Miki; Laukkanen, Jarkko; Heeswijk, Mark van; Karhunen, Juha. Method for detecting ageing related failures of process sensors via noise signal measurement. International Journal of Computing. 2019.
- Hulsund J.E., Sirola M. Degradation Management at Nuclear Power Plants. Lecture Notes in Mechanical Engineering. Springer, Cham. 2020.
- Sirola, Miki; Hulsund, John Einar. Machine-learning methods in prognosis of ageing phenomena in nuclear power plant components. International Journal of Computing. 2021.
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Updated on 16.6.2022