Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation.

Šabanovič E, Kojis P, Šukevičius Š, Shyrokau B, Ivanov V, Dhaens M, Skrickij V

DOI: 10.3390/s21217139
Published: 2021 Oct 27
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.3390/s21217139,
  title = {Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation.},
  author = {Šabanovič E and Kojis P and Šukevičius Š and Shyrokau B and Ivanov V and Dhaens M and Skrickij V},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21217139},
  url = {https://doi.org/10.3390/s21217139}
}

RIS

TY  - JOUR
TI  - Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation.
AU  - Šabanovič E
AU  - Kojis P
AU  - Šukevičius Š
AU  - Shyrokau B
AU  - Ivanov V
AU  - Dhaens M
AU  - Skrickij V
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21217139
UR  - https://doi.org/10.3390/s21217139
ER  -

APA

E, Š., P, K., Š, Š., B, S., V, I., M, D., & V, S. (2021). Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21217139

Source records

pubmed · retrieved 2026-09-26T13:26:11.750Z
europe-pmc · retrieved 2026-09-26T13:26:11.745Z