Žvirblis, T.; Vainorius, D.; Matijošius, J.; Kilikevičienė, K.; Rimkus, A.; Bereczky, Á.; Lukács, K.; Kilikevičius, A.
Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain. Symmetry 2021, 13, 1234.
https://doi.org/10.3390/sym13071234
AMA Style
Žvirblis T, Vainorius D, Matijošius J, Kilikevičienė K, Rimkus A, Bereczky Á, Lukács K, Kilikevičius A.
Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain. Symmetry. 2021; 13(7):1234.
https://doi.org/10.3390/sym13071234
Chicago/Turabian Style
Žvirblis, Tadas, Darius Vainorius, Jonas Matijošius, Kristina Kilikevičienė, Alfredas Rimkus, Ákos Bereczky, Kristóf Lukács, and Artūras Kilikevičius.
2021. "Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain" Symmetry 13, no. 7: 1234.
https://doi.org/10.3390/sym13071234
APA Style
Žvirblis, T., Vainorius, D., Matijošius, J., Kilikevičienė, K., Rimkus, A., Bereczky, Á., Lukács, K., & Kilikevičius, A.
(2021). Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain. Symmetry, 13(7), 1234.
https://doi.org/10.3390/sym13071234