Synergistic Integration of Machine Learning with Microstructure/Composition-Designed SnO<sub>2</sub> and WO<sub>3</sub> Breath Sensors-Reference-Cited by-同舟云学术

Synergistic Integration of Machine Learning with Microstructure/Composition-Designed SnO₂ and WO₃ Breath Sensors

Published:2024-01-11 Issue:1 Volume:9 Page:182-194
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Nam Yoonmi¹,Kim Ki-Beom²,Kim Sang Hun²,Park Ki-Hong³,Lee Myeong-Ill⁴,Cho Jeong Won¹,Lim Jongtae⁵,Hwang In-Sung⁶,Kang Yun Chan²^ORCID,Hwang Jin-Ha¹^ORCID

Affiliation:

1. Department of Materials Science and Engineering, Hongik University, Seoul 04066, South Korea

2. Department of Materials Science and Engineering, Korea University, Seoul 02841, South Korea

3. Smart City Program, Hongik University, Seoul 04066, South Korea

4. Department of Mechanical Engineering, Hongik University, Seoul 04066, South Korea

5. School of Electronic and Electrical Engineering, Hongik University, Seoul 04066, South Korea

6. SENTECHGMI Corp., Seoul 07548, South Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.3c01814

Reference36 articles.

1. Dynamic Nanoparticle-Based Flexible Sensors: Diagnosis of Ovarian Carcinoma from Exhaled Breath

2. Detection of volatile organic compounds (VOCs) from exhaled breath as noninvasive methods for cancer diagnosis

3. Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

4. Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System

5. Highly selective, sensitive, and rapidly responding acetone sensor using ferroelectric ε-WO3 spheres doped with Nb for monitoring ketogenic diet efficiency

Cited by 1 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. Gas Graph Convolutional Transformer for Robust Generalization in Adaptive Gas Mixture Concentration Estimation;ACS Sensors;2024-03-21