| Email: | majdisz(at)kiv.zcu.cz |
| Office: | UC 338 |
| Telephone: | +420 377 632 494 |
| ResearcherID: | B-9248-2016 |
| ORCID: | orcid.org/0000-0002-2375-023X |
| ResearchGate: | profile |
2019
Majdisova, Z.: Interpolation and Approximation Methods for Large Geometric Datasets, Pilsen, 2019, PhD thesis (Ph.D.), University of West Bohemia, Faculty of Applied Sciences. Supervisor Prof. Ing. Václav Skala, CSc.
Majdisova, Z., Skala, V., Smolik, M.: Algorithm for placement of reference points and choice of an appropriate variable shape parameter for the RBF approximation, Integrated Computer-Aided Engineering, Vol.27, No.1, pp.1-15, ISSN 1069-2509, IOS Press, 2020, doi:10.3233/ICA-190610.
2018
Majdisova, Z., Skala, V., Smolik, M.: Incremental Meshfree Approximation of Real Geographic Data, In Applied Physics, System Science and Computers III, Vol. 574 of Lecture Notes in Electrical Engineering, pp.222-228, ISBN 978-3-030-21506-4, Springer, 2019, doi:10.1007/978-3-030-21507-1_32.
Smolik, M., Skala, V., Majdisova, Z.: 3D Vector Field Approximation and Critical Points Reduction using Radial Basis Functions, International journal of mechanics, Vol.13, No.1., pp.100-103, ISSN 1998-4448, NAUN, 2019.
Smolik, M., Skala, V., Majdisova, Z.: A New Simple, Fast and Robust Total Least Square Error Computation in E2: Experimental Comparison, In AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application, Vol. 554 of Lecture Notes in Electrical Engineering, pp.325-334, ISBN 978-3-030-14906-2, Springer, 2020, doi:10.1007/978-3-030-14907-9_32.
Majdisova, Z., Skala, V., Smolik, M.: Determination of Stationary Points and Their Bindings in Dataset using RBF Methods, In Computational and Statistical Methods in Intelligent Systems (CoMeSySo 2018), Vol.859 of Advances in Intelligent Systems and Computing series, pp.213-224, ISBN 978-3-030-00210-7, Springer, 2019, doi:10.1007/978-3-030-00211-4_20.
Smolik, M., Skala, V., Majdisova, Z.: Vector Field Radial Basis Function Approximation, Advances in Engineering Software, Vol.123, pp.117-129, ISSN 0965-9978, Elsevier, September 2018, doi:10.1016/j.advengsoft.2018.06.013.
2017
Majdisova, Z., Skala, V.: Big geo data surface approximation using radial basis functions: A comparative study, Computers and Geosciences, Vol.109, pp.51-58, ISSN 0098-3004, Elsevier, December 2017, doi:10.1016/j.cageo.2017.08.007.
Majdisova, Z., Skala, V.: Radial basis function approximations: comparison and applications, Applied Mathematical Modelling, Vol.51, pp.728-743, ISSN 0307-904X, Elsevier, November 2017, doi:10.1016/j.apm.2017.07.033.
2016
Skala, V., Smolik, M., Majdisova, Z.: Reducing the Number of Points on the Convex Hull Calculation using the Polar Space Subdivision in E2, 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, Brazil, pp.40-47, October 2016, doi:10.1109/SIBGRAPI.2016.015.
Majdisova, Z., Skala, V.: A New Radial Basis Function Approximation with Reproduction, Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2016; Game and Entertainment Technologies 2016; and Computer Graphics, Visualization, Computer Vision and Image Processing 2016, Portugal, pp.215-222, ISBN 978-989-8533-52-4, IADIS Press, 2016.
Majdisova, Z., Skala, V.: A Radial Basis Function Approximation for Large Datasets, Proceedings of SIGRAD 2016, Sweden, pp.9-14, ISSN 1650-3686, ISBN 978-91-7685-731-1, Linköping University Electronic Press, 2016.
Skala, V., Majdisova, Z., Smolik, M.: Space Subdivision to Speed-up Convex Hull Construction in E3, Advances in Engineering Software, Vol.91, pp.12-22, ISSN 0965-9978, Elsevier, January 2016, doi:10.1016/j.advengsoft.2015.09.002.
2015
Skala, V., Majdisova, Z.: Fast Algorithm for Finding Maximum Distance with Space Subdivision in E2, ICIG 2015 Proceedings Part II, China, pp.261-274, ISSN 0302-9743, ISBN 978-3-319-21962-2, Springer, 2015, doi:10.1007/978-3-319-21963-9_24.
2014
Majdisova, Z.: Utilization of parallelism for analysis of biomolecules (in Czech), Pilsen, 2014, Master's thesis (Ing.), University of West Bohemia, Faculty of Applied Sciences. Supervisor Mgr. Martin Maňák.
2012
Majdisova, Z.: Analytical methods of evolutionary dynamics (in Czech), Pilsen, 2012, Bachelor's thesis (Bc.), University of West Bohemia, Faculty of Applied Sciences. Supervisor Doc. RNDr. Petr Stehlík, Ph.D.
2011
Majdisova, Z.: Numerical approximations for digital holography (in Czech), Pilsen, 2011, Bachelor's thesis (Bc.), University of West Bohemia, Faculty of Applied Sciences. Supervisor Ing. Petr Lobaz.
2017
Majdisova, Z.: Determination of Suitable Variable Shape Parameter and Placement of Reference Points for RBF Approximation (in Czech), UWB, Pilsen, 2017.
Majdisova, Z.: Derivation of Radial Basis Function Approximation with Polynomial Reproduction, WSCG 2017, Pilsen, Czech Republic, 2017.
2016
Majdisova,Z., Skala,V.: A New Radial Basis Function Approximation with Reproduction, CGVCVIP 2016, Funchal, Madeira, Portugal, 2016.
Majdisova, Z.: A Radial Basis Functions Approximation, UWB, Pilsen, 2016.
Majdisova,Z., Skala,V.: A Radial Basis Function Approximation for Large Datasets, SIGRAD 2016, Visby, Sweden, 2016.
2015
Skala,V., Majdisova,Z.: Fast Algorithm for Finding Maximum Distance with Space Subdivision in E2, ICIG 2015, Tianjin, China, 2015.
Majdisova,Z.: Data structures (in Czech), UWB, Pilsen, 2015.
Majdisova,Z.: Convex Hull and Space Subdivision in E3 (in Czech), UWB, Pilsen, 2015.