Yrjö Hiltunen

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 2

Top Topics

Software Platform

Water Treatment

Incipient Fault

Top Venues

Environ. Model. Softw.

Expert Syst. Appl.

Appl. Soft Comput.

Publications

Ivan Ryzhikov, Ekaterina Nikolskaya, Yrjö Hiltunen
Combining Deep Learning Model and Evolutionary Optimization for Parameters Identification of NMR Signal. ICPRAM (2022)
Ivan Ryzhikov, Mika Liukkonen, Ari Kettunen, Yrjö Hiltunen
Risk Estimation in Data-driven Fault Prediction for a Biomass-fired Power Plant. IJCCI (2020)
Mika Liukkonen, Petri Juntunen, Ilkka Laakso, Yrjö Hiltunen
A software platform for process monitoring: Applications to water treatment. Expert Syst. Appl. 40 (7) (2013)
Mika Liukkonen, Ilkka Laakso, Yrjö Hiltunen
Advanced monitoring platform for industrial wastewater treatment: Multivariable approach using the self-organizing map. Environ. Model. Softw. 48 (2013)
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) (2013)
Mika Liukkonen, Elina Havia, Yrjö Hiltunen
Computational intelligence in mass soldering of electronics - A survey. Expert Syst. Appl. 39 (10) (2012)
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 (2012)
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) (2011)
Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen
Expert system for analysis of quality in production of electronics. Expert Syst. Appl. 38 (7) (2011)
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) (2011)
Mika Liukkonen, Teri Hiltunen, Eero Hälikkä, Yrjö Hiltunen
emissions using self-organizing maps: An application to the diagnosis of process states. Environ. Model. Softw. 26 (5) (2011)
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 (2010)
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) (2009)
Mika Liukkonen, Elina Havia, Hannu Leinonen, Yrjö Hiltunen
Application of self-organizing maps in analysis of wave soldering process. Expert Syst. Appl. 36 (3) (2009)
Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Reijo Kuivalainen, Yrjö Hiltunen
Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps. ICANNGA (2009)
Teemu Räsänen, Risto Soukka, Sami Kokki, Yrjö Hiltunen
Neural networks in process life cycle profit modelling. Expert Syst. Appl. 35 (3) (2008)
Mikko Heikkinen, Tomi Latvala, Esko Juuso, Yrjö Hiltunen
SOM-Based Modelling for an Activated Sludge Treatment Process. UKSim (2008)
Mikko Heikkinen, Ville Nurminen, Yrjö Hiltunen
Self-Organizing Maps for Analysis of Expandable Polystyrene Batch Process. Int. J. Comput. Commun. Control 2 (2) (2007)
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)
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)
Yrjö Hiltunen, Mika Lappalainen
Automated Personalisation of Internet Users Using Self-Organising Maps. IDEAL (2002)
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)
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) (2002)