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Filtering by: Author Kosuke Minami Publisher Royal Society of Chemistry (RSC) Resource type Article Rights Statement Sim Creative Commons BY Attribution 4.0 International Visibility open

1. Automated odor-blending with one-pot Bayesian optimization

Description/Abstract:: The creation of new odors by blending existing ones is usually done manually based on the human sense. To enable robots to perform this a...
Keyword:: Bayesian optimization, MSS, Machine learning, and Olfactory sensor
Resource Type:: Article
Author:: Yota Fukui, Kosuke Minami, Kota Shiba, Genki Yoshikawa, Koji Tsuda, and Ryo Tamura
Journal:: Digital Discovery
Date Uploaded:: 10/06/2024

1. Automated odor-blending with one-pot Bayesian optimization

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1. Automated odor-blending with one-pot Bayesian optimization

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