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ORCIDYrjö Hiltunen
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2020 – today
- 2022
[c8]Ivan Ryzhikov, Ekaterina Nikolskaya, Yrjö Hiltunen:
Combining Deep Learning Model and Evolutionary Optimization for Parameters Identification of NMR Signal. ICPRAM 2022: 761-768- 2020
- [c7]Ivan Ryzhikov, Mika Liukkonen, Ari Kettunen, Yrjö Hiltunen:
Risk Estimation in Data-driven Fault Prediction for a Biomass-fired Power Plant. IJCCI 2020: 423-429
2010 – 2019
- 2013
- [j15]Petri Juntunen
, Mika Liukkonen, Markku J. Lehtola, Yrjö Hiltunen:
Cluster analysis by self-organizing maps: An application to the modelling of water quality in a treatment process. Appl. Soft Comput. 13(7): 3191-3196 (2013) - [j14]Mika Liukkonen, Ilkka Laakso, Yrjö Hiltunen:
Advanced monitoring platform for industrial wastewater treatment: Multivariable approach using the self-organizing map. Environ. Model. Softw. 48: 193-201 (2013) - [j13]Mika Liukkonen, Petri Juntunen, Ilkka Laakso, Yrjö Hiltunen:
A software platform for process monitoring: Applications to water treatment. Expert Syst. Appl. 40(7): 2631-2639 (2013) - 2012
- [j12]Petri Juntunen, Mika Liukkonen, Marja Pelo, Markku J. Lehtola, Yrjö Hiltunen:
Modelling of Water Quality: An Application to a Water Treatment Process. Appl. Comput. Intell. Soft Comput. 2012: 846321:1-846321:9 (2012) - [j11]Mika Liukkonen, Elina Havia, Yrjö Hiltunen:
Computational intelligence in mass soldering of electronics - A survey. Expert Syst. Appl. 39(10): 9928-9937 (2012) - 2011
- [j10]Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen:
Quality-oriented optimization of wave soldering process by using self-organizing maps. Appl. Soft Comput. 11(1): 214-220 (2011) - [j9]Mika Liukkonen, Teri Hiltunen, Eero Hälikkä, Yrjö Hiltunen:
Modeling of the fluidized bed combustion process and NOx emissions using self-organizing maps: An application to the diagnosis of process states. Environ. Model. Softw. 26(5): 605-614 (2011) - [j8]Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen:
Expert system for analysis of quality in production of electronics. Expert Syst. Appl. 38(7): 8724-8729 (2011) - [j7]Mikko Heikkinen, H. Poutiainen, Mika Liukkonen, T. Heikkinen, Yrjö Hiltunen:
Subtraction analysis based on self-organizing maps for an industrial wastewater treatment process. Math. Comput. Simul. 82(3): 450-459 (2011) - 2010
- [j6]Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Teri Hiltunen, Yrjö Hiltunen:
Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing Maps. Appl. Comput. Intell. Soft Comput. 2010: 932467:1-932467:8 (2010)
2000 – 2009
- 2009
- [j5]Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen:
Application of self-organizing maps in analysis of wave soldering process. Expert Syst. Appl. 36(3): 4604-4609 (2009) - [j4]Mikko Heikkinen, Teri Hiltunen, Mika Liukkonen, Ari Kettunen, Reijo Kuivalainen, Yrjö Hiltunen:
A modelling and optimization system for fluidized bed power plants. Expert Syst. Appl. 36(7): 10274-10279 (2009) - [c6]Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Reijo Kuivalainen, Yrjö Hiltunen:
Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps. ICANNGA 2009: 119-129 - 2008
- [j3]Teemu Räsänen, Risto Soukka, Sami Kokki, Yrjö Hiltunen:
Neural networks in process life cycle profit modelling. Expert Syst. Appl. 35(3): 604-610 (2008) - [c5]Mikko Heikkinen, Tomi Latvala, Esko Juuso, Yrjö Hiltunen:
SOM-Based Modelling for an Activated Sludge Treatment Process. UKSim 2008: 224-229 - 2007
- [j2]Mikko Heikkinen, Ville Nurminen, Yrjö Hiltunen:
Self-Organizing Maps for Analysis of Expandable Polystyrene Batch Process. Int. J. Comput. Commun. Control 2(2): 143-148 (2007) - 2005
- [c4]Mikko Heikkinen, Ari Kettunen, Eero Niemitalo, Reijo Kuivalainen, Yrjö Hiltunen:
SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant. ICANN (1) 2005: 409-414 - 2003
- [c3]Juhani Pulkkinen, Mika Lappalainen, Anna-Maija Häkkinen, Nina Lundbom, Risto A. Kauppinen, Yrjö Hiltunen:
Quantification of Human Brain Metabolites from In Vivo 1H NMR Magnitude Spectra Using Self-Organising Maps. IDEAL 2003: 522-529 - 2002
- [j1]Taito Väänänen, Harri Koskela, Yrjö Hiltunen, Mika Ala-Korpela:
Application of Quantitative Artificial Neural Network Analysis to 2D NMR Spectra of Hydrocarbon Mixtures. J. Chem. Inf. Comput. Sci. 42(6): 1343-1346 (2002) - [c2]Yrjö Hiltunen, Mika Lappalainen:
Automated Personalisation of Internet Users Using Self-Organising Maps. IDEAL 2002: 31-34 - [c1]Juhani Pulkkinen, Mika Lappalainen, Anna-Maija Häkkinen, Nina Lundbom, Risto A. Kauppinen, Yrjö Hiltunen:
Application of Self-Organising Maps in Automated Chemical Shift Correction of In Vivo H MR Spectra. IDEAL 2002: 423-428
Coauthor Index
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