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All issues Volume 210 (2018) MATEC Web Conf., 210 (2018) 02017 References
Open Access
Issue
MATEC Web Conf.
Volume 210, 2018
22nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
Article Number 02017
Number of page(s) 6
Section Systems
DOI https://doi.org/10.1051/matecconf/201821002017
Published online 05 October 2018
  1. B. Efron, T. Hastie, I. Johnstone, R. Tibshirani, Least Angle Regression, The Annales of Statistics, 32 (2), 407-409, (2004). [Google Scholar]
  2. P. Fiderek, T. Jaworski, R. Banasiak, J. Nowakowski, J. Kucharski, R. Wajman, Intelligent system for the two-phase flows diagnosis and control on the basis of raw 3D 3D ECT data, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 7 (1), 17-23, (2017). [CrossRef] [Google Scholar]
  3. S.F. Filipowicz, T. Rymarczyk, Measurement Methods and Image Reconstruction in Electrical Impedance Tomography, Przeglad Elektrotechniczny, 88 (6), 247-250, (2012). [Google Scholar]
  4. J. Friedman, Tibshirani R., Hastie T., Regularization paths for generalized linear models via coordinate descent, Journal of Statistical Software, 33 (1), (2010). [CrossRef] [Google Scholar]
  5. T. Fonseca, L. Goliatt, L. Campos, F. Bastos, L. Barra, R. Santos, Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography, Advances in Artificial Intelligence - IBERAMIA 2016, 235-246, (2016). [CrossRef] [Google Scholar]
  6. H Garbaa, L Jackowska-Strumiłło, K Grudzień, A Romanowski, Application of electrical capacitance tomography and artificial neural networks to rapid estimation of cylindrical shape parameters of industrial flow structure works, Archives of Electrical Engineering 65 (4), 657-669, (2016). [CrossRef] [Google Scholar]
  7. T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning Data Mining, Inference, and Prediction, Springer, New York, (2009). [Google Scholar]
  8. J. Hoła, Z. Matkowski, K. Schabowicz, J. Sikora, K. Nita, S. Wójtowicz, Identification of moisture content in brick walls by means of impedance tomography, COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, 31 (6), 1774-1792, (2012). [CrossRef] [Google Scholar]
  9. G. James, D. Witten, T. Hastie, R. Tibshirani, An Introduction to Statistical Learning with Applications in R, Springer, New York, (2013). [CrossRef] [Google Scholar]
  10. G. Kłosowski, E. Kozłowski, A. Gola, Integer linear programming in optimization of waste after cutting in the furniture manufacturing, Advances in Intelligent Systems and Computing 2018; 637, 260-270, (2018). [CrossRef] [Google Scholar]
  11. J. Kryszyn, P. Wróblewski, M. Stosio, D. Wanta, T. Olszewski, W. Smolik, Architecture of EVT4 data acquisition system for electrical capacitance tomography, Measurement: Journal of the International Measurement Confederation, 101, 28-39, (2017). [CrossRef] [Google Scholar]
  12. K. Polakowski, S.F. Filipowicz, J. Sikora, T. Rymarczyk, Quality of imaging in multipath tomography, Przeglad Elektrotechniczny, 85 (12), 134-136 (2009). [Google Scholar]
  13. T. Rymarczyk, P. Tchórzewski, P. Adamkiewicz, K. Duda, J. Szumowski, J. Sikora, Practical Implementation of Electrical Tomography in a Distributed System to Examine the Condition of Objects, IEEE Sensors Journal, 17 (24), 8166-8186, (2017). [CrossRef] [Google Scholar]
  14. T. Rymarczyk, New Methods to Determine Moisture Areas by Electrical Impedance Tomography, International Journal of Applied Electromagnetics and Mechanics; 52, 79-87, (2016). [CrossRef] [Google Scholar]
  15. T. Rymarczyk, P. Adamkiewicz, K. Duda, J. Szumowski, J. Sikora, New Electrical Tomographic Method to Determine Dampness in Historical Buildings, Archives of Electrical Engineering, 65 (2), 273-283, (2016). [CrossRef] [Google Scholar]
  16. T. Rymarczyk, G. Kłosowski, Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities. Eksploatacja i Niezawodnosc -- Maintenance and Reliability, 20 (3), 425-434 (2018). [CrossRef] [Google Scholar]
  17. T. Rymarczyk, G. Kłosowski, E. Kozłowski, A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings. [Google Scholar]

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