Utilizing Deep Learning to Enhance Optical Sensing of Ethanol Content Based on Luminescent Carbon Dots-Reference-Cited by-同舟云学术

Utilizing Deep Learning to Enhance Optical Sensing of Ethanol Content Based on Luminescent Carbon Dots

Published:2022-07-21 Issue:8 Volume:5 Page:11208-11218
ISSN:2574-0970
Container-title:ACS Applied Nano Materials
language:en
Short-container-title:ACS Appl. Nano Mater.

Author:

Döring Aaron¹^ORCID,Rogach Andrey L.¹²^ORCID

Affiliation:

1. Department of Materials Science and Engineering, and Centre for Functional Photonics (CFP), City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR 999077, China

2. Shenzhen Research Institute, City University of Hong Kong, Shenzhen 518057, China

Funder

Research Grants Council, University Grants Committee

Shenzhen Municipal Science and Technology Innovation Council

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsanm.2c02351

Reference57 articles.

1. Machine Learning‐Enabled Smart Sensor Systems

2. Chemiresistive Sensor Array and Machine Learning Classification of Food

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5. Electrophoretic Analysis and Purification of Fluorescent Single-Walled Carbon Nanotube Fragments

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