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Machine Learning Assisted Self-Powered Identity Recognition Based on Thermogalvanic Hydrogel for Intelligent Security.

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Title: Machine Learning Assisted Self-Powered Identity Recognition Based on Thermogalvanic Hydrogel for Intelligent Security.
Authors: Ma X; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China., Wang W; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China., Cui X; School of Physics and Information Engineering, Shanxi Normal University, Taiyuan, 030031, China., Li Y; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China., Yang K; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China., Huang Z; School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China., Zhang H; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Source: Small (Weinheim an der Bergstrasse, Germany) [Small] 2024 Sep; Vol. 20 (37), pp. e2402700. Date of Electronic Publication: 2024 May 10.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101235338 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1613-6829 (Electronic) Linking ISSN: 16136810 NLM ISO Abbreviation: Small Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine Learning Assisted Self-Powered Identity Recognition Based on Thermogalvanic Hydrogel for Intelligent Security.
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  Data: <searchLink fieldCode="AU" term="%22Ma+X%22">Ma X</searchLink>; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.<br /><searchLink fieldCode="AU" term="%22Wang+W%22">Wang W</searchLink>; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.<br /><searchLink fieldCode="AU" term="%22Cui+X%22">Cui X</searchLink>; School of Physics and Information Engineering, Shanxi Normal University, Taiyuan, 030031, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.<br /><searchLink fieldCode="AU" term="%22Yang+K%22">Yang K</searchLink>; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.<br /><searchLink fieldCode="AU" term="%22Huang+Z%22">Huang Z</searchLink>; School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
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  Data: <searchLink fieldCode="JN" term="%22101235338%22">Small (Weinheim an der Bergstrasse, Germany)</searchLink> [Small] 2024 Sep; Vol. 20 (37), pp. e2402700. <i>Date of Electronic Publication: </i>2024 May 10.
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        Value: 10.1002/smll.202402700
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        Text: English
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      – TitleFull: Machine Learning Assisted Self-Powered Identity Recognition Based on Thermogalvanic Hydrogel for Intelligent Security.
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            NameFull: Ma X
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              Text: 2024 Sep
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              Y: 2024
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              Value: 37
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