Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/01/01
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Journal
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Indian UGC (journal)
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Refrences312
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Citations1
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Hong Zhou Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608 ORCID (unauthenticated)
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Liangge Xu Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608National Key Laboratory of Special Environment Composite Technology, Harbin Institute of Technology, Harbin, 150001, China ORCID (unauthenticated)
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Zhihao Ren Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608 ORCID (unauthenticated)
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Jiaqi Zhu National Key Laboratory of Special Environment Composite Technology, Harbin Institute of Technology, Harbin, 150001, China ORCID (unauthenticated)
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Chengkuo Lee Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608NUS Suzhou Research Institute (NUSRI), Suzhou 215123, China ORCID (unauthenticated)
Abstract
Cite
Zhou, Hong, et al. “Machine Learning-Augmented Surface-Enhanced Spectroscopy Toward Next-Generation Molecular Diagnostics”. Nanoscale Advances, vol. 5, no. 3, 2023, pp. 538-70, https://doi.org/10.1039/d2na00608a.
Zhou, H., Xu, L., Ren, Z., Zhu, J., & Lee, C. (2023). Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics. Nanoscale Advances, 5(3), 538-570. https://doi.org/10.1039/d2na00608a
Zhou H, Xu L, Ren Z, Zhu J, Lee C. Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics. Nanoscale Advances. 2023;5(3):538-70.
Journal Categories
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Technology
Chemical technology
Technology
Electrical engineering
Electronics
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Materials of engineering and construction
Mechanics of materials
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Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials 271
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Citations Analysis
The category
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