Meyer zu Westerhausen, S., 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 (14248220), 25(17), 5573-5601. https://doi.org/10.3390/s25175573
ISO-690 (author-date, English)MEYER ZU WESTERHAUSEN, Sören, HICHRI, Imed, HERRMANN, Kevin und LACHMAYER, Roland, 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 (14248220). 1 September 2025. Vol. 25, no. 17, p. 5573-5601. DOI 10.3390/s25175573.
Modern Language Association 9th editionMeyer zu Westerhausen, S., I. Hichri, K. Herrmann, und R. Lachmayer. „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 (14248220), Bd. 25, Nr. 17, September 2025, S. 5573-01, https://doi.org/10.3390/s25175573.
Mohr Siebeck - Recht (Deutsch - Österreich)Meyer zu Westerhausen, Sören/Hichri, Imed/Herrmann, Kevin/Lachmayer, Roland: 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 (14248220) 2025, 5573-5601.
Emerald - HarvardMeyer zu Westerhausen, S., Hichri, I., Herrmann, K. und 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 (14248220), Vol. 25 No. 17, S. 5573-5601.