E-LIB Suche - Ergebnisse für: Awtoniuk, Michał

1

Naturally Inspired Molecules for Neuropathic Pain Inhibitio..:

Sałat, Kinga ; Zaręba, Paula ; Awtoniuk, Michał.
Molecules. 28 (2023) 23 - p. 7862 , 2023

Link: https://doi.org/10.3390/..

2

On the Application of Support Vector Method for Predicting ..:

Sapiński, Bogdan ; Gołdasz, Janusz ; Jastrzębski, Łukasz..
Energies. 15 (2022) 24 - p. 9626 , 2022

Link: https://doi.org/10.3390/..

3

Industrial Application of Deep Neural Network for Aluminum ..:

Awtoniuk, Michał ; Majerek, Dariusz ; Myziak, Artur.
Advances in Science and Technology Research Journal. 16 (2022) 5 - p. 120-128 , 2022

Link: https://doi.org/10.12913..

4

Wide-Range Measurement of Thermal Preference—A Novel Method..:

Sałat, Kinga ; Furgała-Wojas, Anna ; Awtoniuk, Michał.
Molecules. 26 (2021) 3 - p. 612 , 2021

Link: https://doi.org/10.3390/..

5

Neural Modelling of APS Thermal Spray Process Parameters fo..:

Szala, Mirosław ; Łatka, Leszek ; Awtoniuk, Michał..
Processes. 8 (2020) 12 - p. 1544 , 2020

Link: https://doi.org/10.3390/..

6

Impact of feature selection on system identification by mea..:

Awtoniuk, Michał ; Daniun, Marcin ; Sałat, Kinga...
MATEC Web of Conferences. 252 (2019) - p. 03012 , 2019

Link: https://doi.org/10.1051/..

7

Black box modeling of PIDs implemented in PLCs without stru..:

Salat, Robert ; Awtoniuk, Michal
Neural Computing and Applications. 26 (2014) 3 - p. 723-734 , 2014

Link: https://doi.org/10.1007/..

8

Estimation of tensile strength of ductile iron friction wel..:

WINICZENKO, Radosław ; SALAT, Robert ; AWTONIUK, Michał
Transactions of Nonferrous Metals Society of China. 23 (2013) 2 - p. 385-391 , 2013

Link: https://doi.org/10.1016/..

9

Wide-Range Measurement of Thermal Preference—A Novel Method..:

Sałat, Kinga ; Furgała-Wojas, Anna ; Awtoniuk, Michał.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866141/. , 2021

Link: http://www.ncbi.nlm.nih...

10

Wide-range measurement of thermal preference : a novel meth..:

Sałat, Kinga ; Furgała-Wojas, Anna ; Awtoniuk, Michał.
Molecules, T. 26, nr 3. , 2021

Link: https://ruj.uj.edu.pl/xm..

11

Impact of feature selection on system identification by mea..:

Awtoniuk Michał ; Daniun Marcin ; Sałat Kinga.
https://doi.org/10.1051/matecconf/201925203012. , 2019

Link: https://doi.org/10.1051/..

12

Impact of feature selection on system identification by mea..:

Awtoniuk, Michał ; Daniun, Marcin ; Sałat, Kinga.
MATEC Web of Conferences, T. 252. , 2019

Link: https://ruj.uj.edu.pl/xm..

13

Implementation of PID autotuning procedure in PLC controlle:

Daniun Marcin ; Awtoniuk Michał ; Sałat Robert
https://doi.org/10.1051/itmconf/20171505009. , 2017

Link: https://doi.org/10.1051/..

14

AUTOTUNING OF PID CONTROLLER BY MEANS OF HUMAN MACHINE INTE..:

Awtoniuk, Michał ; Ślizak, Łukasz ; Daniun, Marcin
https://ph.pollub.pl/index.php/jteme/article/view/513/259. , 2016

Link: https://ph.pollub.pl/ind..

15

Black box modeling of PIDs implemented in PLCs without stru..:

Salat, Robert ; Awtoniuk, Michal
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC. , 2014

Link: http://www.ncbi.nlm.nih...