Publications
Google Scholar
2022
2021
2020
2019
2019
2018
2017
2016
2015
2014
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M. S³oñski:
Bayesian machine learning in analysis of selected identification
problems of mechanics of materials and structures.
Publishing House of Cracow University of Technology,
monograph no. 473, Civil Engineering series, ISSN 0860-097X, 2014.
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M. S³oñski:
Sequential stochastic identification of elastic constants using Lamb
waves and particle filters.
Computer Assisted Meth. Eng. Sci., (21) 1: pp. 15-26, 2014 CAMES.
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M. Tekieli, M. S³oñski:
Particle filtering for computer vision-based identification of frame model parameters.
Computer Assisted Meth. Eng. Sci., (21) 1: pp. 39-48, 2014 CAMES.
2013
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M. Tekieli, M. S³oñski:
Application of Monte Carlo filter for computer vision-based Bayesian updating of finite element model.
Mechanics and Control, 32: 171-177, 2013 Mechanics
and Control.
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M. Tekieli, M. S³oñski:
Load identification using computer vision and FEM based particle filtering. 20th International Conference
on Computer Methods in Mechanics, CMM-2013, 27-31 August 2013.
(pdf)
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M. S³oñski, M. Tekieli:
Dynamic Bayesian networks for sequential parametric identification problems. 20th International Conference
on Computer Methods in Mechanics, CMM-2013, 27-31 August 2013.
(pdf)
- M. Tekieli, M. S³oñski:
Computer Vision Based Method for Real Time Material and Structure Parameters Estimation Using Digital Image Correlation,
Particle Filtering and Finite Element Method.
In Artificial Intelligence and Soft Computing. Springer Berlin Heidelberg, pp. 624-633, 2013.
- M. S³oñski:
Lamb waves and particle filter for sequential elastic constants identification of aluminum plate,
In: Proceedings of the 3rd ECCOMAS International Symposium on Inverse Problems
in Mechanics of Structures and Materials (IPM 2013),
Rzeszów-Baranów Sandomierski, Poland, 24-27 April 2013. Book of abstracts.
Ed. by Z. Waszczyszyn and L. Ziemiañski. Rzeszów University of Technology.
Department of Structural Mechanics. Faculty of Civil and Environmental
Engineering. Rzeszów: Publishing House of Rzeszów University of
Technology, 2013, pp.57-58.
- M. Tekieli, M. S³oñski:
Young's modulus estimation and load identification using vision and
FEM based particle filtering,
In: Proceedings of the 3rd ECCOMAS International Symposium on Inverse Problems
in Mechanics of Structures and Materials (IPM 2013),
Rzeszów-Baranów Sandomierski, Poland, 24-27 April 2013. Book of abstracts.
Ed. by Z. Waszczyszyn and L. Ziemiañski. Rzeszów University of Technology.
Department of Structural Mechanics. Faculty of Civil and Environmental
Engineering. Rzeszów: Publishing House of Rzeszów University of
Technology, 2013, pp.63-64.
2012
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M. S³oñski: Gaussian mixture model for time-series based structural damage identification,
Computer Assisted Meth. Eng. Sci., (19) 4: pp. 331-338, 2012 CAMES
- M. S³oñski: Gaussian mixture model and Bayesian methods in time series-based
structural damage detection,
ECCOMAS 2012 Congress, Vienna, Austria, September 10-14, 2012
- M. Tekieli, M. S³oñski:
DriastSystem: a computer vision based system for real time traffic sign
detection and recognition. In Artificial Intelligence and Soft Computing. Springer Berlin Heidelberg, pp. 608-616, 2012.
2011
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M. S³oñski: Bayesian neural networks and Gaussian processes in
identification of concrete properties,
Computer Assisted Mech. Eng. Sci., (18) 4: pp. 291-302, 2011
CAMES
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M. S³oñski: Bayesian neural networks in mechanics of structures and
materials, 57th Scientific Conference of the Committee on Civil Engineering and Hydroengineering of the
Polish Academy of Sciences, 18-22.09.2011,
Rzeszow-Krynica, Poland.
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M. S³oñski: Bayesian neural networks for HPC compressive strength
prediction, 7th International Conference on Analytical Models and New
Concepts in Concrete and Masonry Structures, 13-15 June 2011, Cracow, Poland.
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M. S³oñski: Time series based structural damage localization with
Gaussian mixture models, 19th International Conference
on Computer Methods in Mechanics, CMM-2011, 09-12 May 2011,
Warsaw, Poland.
- M. S³oñski: Gaussian mixture model for time-series based structural damage detection,
In: Proceedings of the 2nd ECCOMAS International Symposium on Inverse Problems
in Mechanics of Structures and Materials (IPM 2011),
Rzeszów-Sieniawa, Poland, 27-30 April 2011. Book of abstracts.
Ed. by Z. Waszczyszyn and L. Ziemiañski. Rzeszów University of Technology.
Department of Structural Mechanics. Faculty of Civil and Environmental
Engineering. Rzeszów: Publishing House of Rzeszów University of
Technology, 2011, pp.95-96.
2010
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M. S³oñski: A comparison of model selection methods for compressive
strength prediction of high-performance concrete using neural
networks, Computers and Structures, 88 (2010), pp. 1248-1253.
Full paper
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M. S³oñski: Structure damage localization based on the relevance vector machine,
IV European Conference on Computational Mechanics, ECCM-2010, Paris, France, 2010.
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Z. Waszczyszyn, M. S³oñski: Selected problems of Artificial Neural Networks Development,
book chapter in
Advances of Soft Computing in Engineering, CISM International
Centre for Mechanical Sciences, Courses and Lectures series, n. 512,
Springer WienNewYork, 2010.
2009
2008
- Z. Waszczyszyn, M. S³oñski, B. Miller and G. Pi±tkowski:
Bayesian Neural Networks in the regression analysis of structural mechanics problems,
8th. World Congress on Computational Mechanics and 5th. European
Congress on Computational Methods in Applied Sciences and Engineering,
30 June - 4 July 2008, Venice, Italy.
- Z. Waszczyszyn, M. S³oñski:
Maximum of Marginal Likelihood criterion instead of cross-validation for designing of Artificial Neural Networks,
The Eighth International Conference on Artificial Intelligence and Soft Computing, June 22-26, 2008, Zakopane.
2007
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Z. Waszczyszyn and M. S³oñski: Criterion of Maximum Marginal
Likelihood instead of Cross-Validation for Design of Artificial Neural Networks (in Polish),
Folia Scientiarum Universitatis Technicae Resoviensis,
243, 2007, pp. 173-185,
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M. S³oñski: HPC strength prediction using Bayesian neural networks
, Computer Assisted Mech. Eng. Sci.,
14: 2007, No. 2, pp. 345-352.
Abstract
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M. S³oñski: Robust prediction of mechanical properties of HPC with Bayesian neural networks,
17th International Conference on Computer Methods in Mechanics, CMM-2007,
£ód¼-Spa³a, 2007.
- Z. Waszczyszyn and M. S³oñski: From deterministic to Bayesian neural networks: Some
applications in structural mechanics,
17th International Conference on Computer Methods in Mechanics, CMM-2007,
£ód¼-Spa³a, 2007.
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Z. Waszczyszyn and M. S³oñski: Simulation of displacement response
spectra using Bayesian neural networks,
17th International Conference on Computational Methods in
Structural Dynamics and Earthquake Engineering, COMPDYN-2007,
Crete, 2007.
- Z. Waszczyszyn and M. S³oñski: From deterministic to Bayesian neural networks: Some
applications in structural mechanics,
13th Inter-Institute Seminar for Young Researchers, Vienna, May 16-18, 2007
- M. S³oñski: A Bayesian approach for the estimation of model parameters,
13th Inter-Institute Seminar for Young Researchers, Vienna, May 16-18, 2007
2006
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M. S³oñski: Bayesian regression approaches on example of concrete
fatigue failure prediction, Computer Assisted Mech. Eng. Sci.,
13: 2006, No. 4, pp. 655-668.
Abstract
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Z. Waszczyszyn and M. S³oñski: Bayesian neural networks for prediction
of response spectra, Foundations of Civil and Environmental
Eng., 7, 2006, pp. 343-361,
Abstract
2005
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M. S³oñski: Prediction of concrete fatigue durability using Bayesian
neural networks, Computer Assisted Mech. Eng. Sci., 12: 2005,
Nos 2/3, pp. 259-265.
Abstract
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M. S³oñski: Concrete fatigue durability prediction with Gaussian processes
and Bayesian neural networks,
16th International Conference on Computer Methods in Mechanics, CMM-2005,
Czêstochowa, 2005.
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M. S³oñski: HPC strength prediction using Bayesian neural networks,
Proc. Symposium on Neural Networks and Soft Computing in Structural
Engineering, NNSC-2005, Eds. Z. Waszczyszyn, M. S³oñski, Cracow, 2005.
2004
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M. S³oñski: Prediction of concrete fatigue durability using Bayesian
neural networks, Proc. Symposium on Methods of Artificial Intelligence, AI-METH 2004,
Eds. T. Burczyñski, W. Cholewa, W. Moczulski, Gliwice, 2004.
Full paper
- M. S³oñski: Application of Bayesian neural networks
to identification of concrete fatigue durability (in Polish),
Symposium on Application of Artificial Neural Networks in Civil
Engineering, Zielona Góra, 2004.
pre-2004
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J. Szczêsny and M. S³oñski: Application of artificial neural networks
to permeability assessment of dams foundation (in Polish), 10th International Conference
on Dam Monitoring , Ed. M. Maciejewski, Kielce, 2003.
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M. S³oñski and Z. Waszczyszyn: Neural prediction of water absorption in
the sealing process of a dam grout curtain,
Proc. Symposium on Methods of Artificial Intelligence, AI-METH 2002,
Eds. T. Burczyñski, W. Cholewa, W. Moczulski, Gliwice, 2002, pp. 389-394.
Abstract
Full paper
- M. S³oñski: Application of ANFIS neuro-fuzzy system for prediction of concrete fatigue
durability, 13th Inter-Institute Seminar for Young Researchers, Vienna, October 26-28, 2001
Abstract
- M. S³oñski: Application of fuzzy modelling in planning of small water
reservoirs systems in highland catchments. PhD thesis, CUT, Cracow,
2001. (in Polish).
- Z. Waszczyszyn and M. S³oñski: Analysis of some problems of experimental
mechanics and biomechanics by means the ANFIS neuro-fuzzy system, J.
Theoretical Appl. Mech., 2, 38, 2000, pp. 429-445.
- Z. Waszczyszyn and M. S³oñski: Analysis of some problems of experimental
mechanics by ANFIS, 12th Inter-Institute Seminar on Nonlinear Computational
Mechanics, Budapest, October 27-29, 2000,
- Z. Waszczyszyn, K. Ku¼niar, R. Obia³a, M. S³oñski: Some new results and
prospects of neural analysis of building vibration problem, Proc.
5th Intern. Conf. on Engineering Applications of Neural Networks,
Ed. W. Duch, Warsaw, 1999, pp. 265-272.
Full paper
- Z. Waszczyszyn and M. S³oñski: Comparison of neuro-fuzzy systems and
neural networks in some problems of mechanics of structures and materials,
11th Inter-Institute Seminar on Youth and Computational Mechanics, PHSEMINAR '99,
Janowice, October 7-10, 1999
- L. Mikulski and M.S³oñski: Warp and optimization of the thin-wall
beams with a variable cross-section, Technical Transactions, Cracow University of
Technology Publishing House, Series Civil Engineering, 4-B, 1997, pp.41-57,
(in Polish)
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