{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10(1)"],"submitter":["Yue X"],"funding":["National Science and Technology Major Project from the Minister of Science and Technology of China"],"pubmed_abstract":["The olfactory sensory system of Drosophila has several advantages, including low power consumption, high rapidity and high accuracy. Here, we present a biomimetic intelligent olfactory sensing system based on the integration of an 18-channel microelectromechanical system (MEMS) sensor array (16 gas sensors, 1 humidity sensor and 1 temperature sensor), a complementary metal‒oxide‒semiconductor (CMOS) circuit and an olfactory lightweight machine-learning algorithm inspired by Drosophila. This system is an artificial version of the biological olfactory perception system with the capabilities of environmental sensing, multi-signal processing, and odor recognition. The olfactory data are processed and reconstructed by the combination of a shallow neural network and a residual neural network, wi"],"journal":["Microsystems & nanoengineering"],"pagination":["153"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11520895"],"repository":["biostudies-literature"],"pubmed_title":["A Drosophila-inspired intelligent olfactory biomimetic sensing system for gas recognition in complex environments."],"pmcid":["PMC11520895"],"pubmed_authors":["Yang H","Qin N","Tao TH","Li Z","Jiang H","Zhao F","Chen H","Yue X","Wang J","Liu W","Zhang P"],"additional_accession":[]},"is_claimable":false,"name":"A Drosophila-inspired intelligent olfactory biomimetic sensing system for gas recognition in complex environments.","description":"The olfactory sensory system of Drosophila has several advantages, including low power consumption, high rapidity and high accuracy. Here, we present a biomimetic intelligent olfactory sensing system based on the integration of an 18-channel microelectromechanical system (MEMS) sensor array (16 gas sensors, 1 humidity sensor and 1 temperature sensor), a complementary metal‒oxide‒semiconductor (CMOS) circuit and an olfactory lightweight machine-learning algorithm inspired by Drosophila. This system is an artificial version of the biological olfactory perception system with the capabilities of environmental sensing, multi-signal processing, and odor recognition. The olfactory data are processed and reconstructed by the combination of a shallow neural network and a residual neural network, wi","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2026-07-16T00:25:11.291Z","creation":"2025-04-06T15:21:57.513Z"},"accession":"S-EPMC11520895","cross_references":{"pubmed":["39468005"],"doi":["10.1038/s41378-024-00752-y"]}}