Smart Electronic Nose Enabled by an All‐Feature Olfactory Algorithm-Reference-Cited by-同舟云学术

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Smart Electronic Nose Enabled by an All‐Feature Olfactory Algorithm

Published:2022-07 Issue:7 Volume:4 Page:2270032
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Fang Cong¹,Li Hua-Yao²^ORCID,Li Long²,Su Hu-Yin²,Tang Jiang²,Bai Xiang³,Liu Huan²^ORCID

Affiliation:

1. School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan 430074 China

2. School of Optical and Electronic Information Optics Valley Laboratory Huazhong University of Science and Technology Wuhan 430074 China

3. School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202270032

Cited by 8 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. Electronic nose for the detection and discrimination of volatile organic compounds: Application, challenges, and perspectives;TrAC Trends in Analytical Chemistry;2024-11

2. Monitoring of meat quality and change-point detection by a sensor array and profiling of bacterial communities;Analytica Chimica Acta;2024-09

3. Early Identification of Rotten Potatoes Using an Electronic Nose Based on Feature Discretization and Ensemble Convolutional Neural Network;Sensors;2024-05-14

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

5. Feature Extraction From Impedance Spectrum of Au/ZrO₂ Nanotube/Zr-Based MIM Sensor for Selective Discrimination of VOCs: A Potential Approach for E-Nose Application;IEEE Transactions on Instrumentation and Measurement;2024

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