Yoshiyuki Kobayashi, Kenichi Yoshida. Automated retention time prediction of new psychoactive substances in gas chromatography. In Matteo Cristani, Carlos Toro 0001, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022. Volume 207 of Procedia Computer Science, pages 654-663, Elsevier, 2022. [doi]
@inproceedings{KobayashiY22,
title = {Automated retention time prediction of new psychoactive substances in gas chromatography},
author = {Yoshiyuki Kobayashi and Kenichi Yoshida},
year = {2022},
doi = {10.1016/j.procs.2022.09.120},
url = {https://doi.org/10.1016/j.procs.2022.09.120},
researchr = {https://researchr.org/publication/KobayashiY22},
cites = {0},
citedby = {0},
pages = {654-663},
booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022},
editor = {Matteo Cristani and Carlos Toro 0001 and Cecilia Zanni-Merk and Robert J. Howlett and Lakhmi C. Jain},
volume = {207},
series = {Procedia Computer Science},
publisher = {Elsevier},
}