Goldschmidt, J.; Nitzsche, L.; Wolf, S.; Lambrecht, A.; Wöllenstein, J.
Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data. Sensors 2022, 22, 857.
https://doi.org/10.3390/s22030857
AMA Style
Goldschmidt J, Nitzsche L, Wolf S, Lambrecht A, Wöllenstein J.
Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data. Sensors. 2022; 22(3):857.
https://doi.org/10.3390/s22030857
Chicago/Turabian Style
Goldschmidt, Jens, Leonard Nitzsche, Sebastian Wolf, Armin Lambrecht, and Jürgen Wöllenstein.
2022. "Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data" Sensors 22, no. 3: 857.
https://doi.org/10.3390/s22030857
APA Style
Goldschmidt, J., Nitzsche, L., Wolf, S., Lambrecht, A., & Wöllenstein, J.
(2022). Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data. Sensors, 22(3), 857.
https://doi.org/10.3390/s22030857