Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor.
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| Title: | Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor. |
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| Authors: | Cho I; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Lee K; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Sim YC; Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Jeong JS; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Cho M; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Jung H; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Kang M; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Cho YH; Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea., Ha SC; SENKO Co., Ltd., 485, Oesammi-Dong, Osan-Si, Gyeonggil-Do, 18111, Republic of Korea., Yoon KJ; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea. kjyoon@kaist.ac.kr., Park I; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea. inkyu@kaist.ac.kr. |
| Source: | Light, science & applications [Light Sci Appl] 2023 Apr 18; Vol. 12 (1), pp. 95. Date of Electronic Publication: 2023 Apr 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101610753 Publication Model: Electronic Cited Medium: Internet ISSN: 2047-7538 (Electronic) Linking ISSN: 20477538 NLM ISO Abbreviation: Light Sci Appl Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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