Machine learning-assisted improving gas sensor array recognition ability-Reference-Cited by-同舟云学术

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Machine learning-assisted improving gas sensor array recognition ability

Published:2022-05 Issue:5 Volume:50 Page:100087
ISSN:1872-2040
Container-title:Chinese Journal of Analytical Chemistry
language:en
Short-container-title:Chinese Journal of Analytical Chemistry

Author:

MA Xiang^ORCID

Funder

NSFC

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference20 articles.

1. A multi-platform sensor for selective and sensitive H2S monitoring: Three-dimensional macroporous ZnO encapsulated by MOFs with small Pt nanoparticles;Zhou;J Hazard Mater,2022

2. Fabrication of chemiresistive nanosensor using molecularly imprinted polymers for acetone detection in gaseous state;Jahangiri-Manesh;Iran Polym J,2022

3. Au-decorated WO3 cross-linked nanodomes for ultrahigh sensitive and selective sensing of NO2 and C2H5OH;Shim;RSC Adv,2013

4. Ammonia selectivity over acetone by viscosity modulation of silicone oil filter for diagnosing liver dysfunction;Agarwal;ECS J Solid State Sci Technol,2020

5. Biochemical profile of uremic breath;Simenhoff;N Engl J Med,1977

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial enzyme innovations in electrochemical devices: advancing wearable and portable sensing technologies;Nanoscale;2024

2. Multiplexed Gas Sensor: Fabrication Strategies, Recent Progress, and Challenges;ACS Sensors;2023-08-21

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