Post, C.; Brülisauer, S.; Waldschläger, K.; Hug, W.; Grüneis, L.; Heyden, N.; Schmor, S.; Förderer, A.; Reid, R.; Reid, M.;
et al. Application of Laser-Induced, Deep UV Raman Spectroscopy and Artificial Intelligence in Real-Time Environmental Monitoring—Solutions and First Results. Sensors 2021, 21, 3911.
https://doi.org/10.3390/s21113911
AMA Style
Post C, Brülisauer S, Waldschläger K, Hug W, Grüneis L, Heyden N, Schmor S, Förderer A, Reid R, Reid M,
et al. Application of Laser-Induced, Deep UV Raman Spectroscopy and Artificial Intelligence in Real-Time Environmental Monitoring—Solutions and First Results. Sensors. 2021; 21(11):3911.
https://doi.org/10.3390/s21113911
Chicago/Turabian Style
Post, Claudia, Simon Brülisauer, Kryss Waldschläger, William Hug, Luis Grüneis, Niklas Heyden, Sebastian Schmor, Aaron Förderer, Ray Reid, Michael Reid,
and et al. 2021. "Application of Laser-Induced, Deep UV Raman Spectroscopy and Artificial Intelligence in Real-Time Environmental Monitoring—Solutions and First Results" Sensors 21, no. 11: 3911.
https://doi.org/10.3390/s21113911
APA Style
Post, C., Brülisauer, S., Waldschläger, K., Hug, W., Grüneis, L., Heyden, N., Schmor, S., Förderer, A., Reid, R., Reid, M., Bhartia, R., Nguyen, Q., Schüttrumpf, H., & Amann, F.
(2021). Application of Laser-Induced, Deep UV Raman Spectroscopy and Artificial Intelligence in Real-Time Environmental Monitoring—Solutions and First Results. Sensors, 21(11), 3911.
https://doi.org/10.3390/s21113911
