Chowdhury, M. Arshad, Rice, Timothy E., and Oehlschlaeger, Matthew A. Evaluation of machine learning methods for classification of rotational absorption spectra for gases in the 220–330 GHz range. Retrieved from https://par.nsf.gov/biblio/10322178. Applied Physics B 127.3 Web. doi:10.1007/s00340-021-07582-0.

Chowdhury, M. Arshad, Rice, Timothy E., & Oehlschlaeger, Matthew A. Evaluation of machine learning methods for classification of rotational absorption spectra for gases in the 220–330 GHz range. Applied Physics B, 127 (3). Retrieved from https://par.nsf.gov/biblio/10322178. https://doi.org/10.1007/s00340-021-07582-0

Chowdhury, M. Arshad, Rice, Timothy E., and Oehlschlaeger, Matthew A. "Evaluation of machine learning methods for classification of rotational absorption spectra for gases in the 220–330 GHz range". Applied Physics B 127 (3). Country unknown/Code not available. https://doi.org/10.1007/s00340-021-07582-0. https://par.nsf.gov/biblio/10322178.

@article{osti_10322178,
place = {Country unknown/Code not available}, title = {Evaluation of machine learning methods for classification of rotational absorption spectra for gases in the 220–330 GHz range}, url = {https://par.nsf.gov/biblio/10322178}, DOI = {10.1007/s00340-021-07582-0}, abstractNote = {}, journal = {Applied Physics B}, volume = {127}, number = {3}, author = {Chowdhury, M. Arshad and Rice, Timothy E. and Oehlschlaeger, Matthew A.}, }