Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network—A Case Study Using the Modal Method and a Physics-Informed Neural Network
- DOI
- 10.3390/s25175573
- Published
- 2025-09-06
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s25175573,
title = {Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network—A Case Study Using the Modal Method and a Physics-Informed Neural Network},
author = {Sören Meyer zu Westerhausen and Imed Hichri and Kevin Herrmann and Roland Lachmayer},
year = {2025},
journal = {Sensors},
doi = {10.3390/s25175573},
url = {https://doi.org/10.3390/s25175573}
}RIS
TY - JOUR TI - Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network—A Case Study Using the Modal Method and a Physics-Informed Neural Network AU - Sören Meyer zu Westerhausen AU - Imed Hichri AU - Kevin Herrmann AU - Roland Lachmayer PY - 2025 JO - Sensors DO - 10.3390/s25175573 UR - https://doi.org/10.3390/s25175573 ER -
APA
Westerhausen, S. M. Z., Hichri, I., Herrmann, K., & Lachmayer, R. (2025). Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network—A Case Study Using the Modal Method and a Physics-Informed Neural Network. Sensors. https://doi.org/10.3390/s25175573
Source records
- crossref · retrieved 2026-09-24T20:07:45.486Z