Engineering and TechnologyNature Communications
Data-centric artificial olfactory system based on the eigengraph
S. Sung, J. M. Suh, et al.
Explore an innovative data-centric artificial olfactory system inspired by human senses, developed by authors Seung-Hyun Sung, Jun Min Suh, Yun Ji Hwang, Ho Won Jang, Jeon Gue Park, and Seong Chan Jun. This research leverages olfactory receptor-like sensor arrays to enhance gas classification using advanced deep learning techniques, showcasing significant advancements in artificial olfaction technology.
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