Automated retention time prediction of new psychoactive substances in gas chromatography

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]

Abstract

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