Research progress of electronic nose technology in exhaled breath disease analysis

Y Li, X Wei, Y Zhou, J Wang, R You - Microsystems & Nanoengineering, 2023 - nature.com
Exhaled breath analysis has attracted considerable attention as a noninvasive and portable
health diagnosis method due to numerous advantages, such as convenience, safety …

Three‐Terminal Artificial Olfactory Sensors based on Emerging Materials: Mechanism and Application

G Duan, S Huang, Z Feng, P Xie… - Advanced Functional …, 2023 - Wiley Online Library
Over the past several years, a variety of hardware‐based artificial sensory systems,
including artificial skin, electronic noses, and artificial retinas, have attracted considerable …

E-nose based on a high-integrated and low-power metal oxide gas sensor array

Z Li, J Yu, D Dong, G Yao, G Wei, A He, H Wu… - Sensors and Actuators B …, 2023 - Elsevier
To improve the poor selectivity of a semiconductor gas-sensor system, an array of sensors
can be utilized. However, this increases the system's size and power consumption. To …

Ultra-low-power e-nose system based on multi-micro-led-integrated, nanostructured gas sensors and deep learning

K Lee, I Cho, M Kang, J Jeong, M Choi, KY Woo… - ACS …, 2022 - ACS Publications
As interests in air quality monitoring related to environmental pollution and industrial safety
increase, demands for gas sensors are rapidly increasing. Among various gas sensor types …

Review on algorithm design in electronic noses: Challenges, status, and trends

T Liu, L Guo, M Wang, C Su, D Wang, H Dong… - Intelligent …, 2023 - spj.science.org
Electronic noses, or e-noses, refer to systems powered by chemical gas sensors, signal
processing, and machine learning algorithms for realizing artificial olfaction. They play a …

[HTML][HTML] A review of sensory interactions between autonomous vehicles and drivers

J Lu, Z Peng, S Yang, Y Ma, R Wang, Z Pang… - Journal of Systems …, 2023 - Elsevier
Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …

The three-lead eeg sensor: Introducing an eeg-assisted depression diagnosis system based on ant lion optimization

F Tian, L Zhu, Q Shi, R Wang, L Zhang… - … Circuits and Systems, 2023 - ieeexplore.ieee.org
For depression diagnosis, traditional methods such as interviews and clinical scales have
been widely leveraged in the past few decades, but they are subjective, time-consuming …

Olfactory-inspired neuromorphic artificial respiratory perception system with graphene oxide humidity sensor and organic electrochemical transistor

QL Zhao, SW Ma, HK Zhang, MK Ren, MY Zhang… - Carbon, 2024 - Elsevier
As a part of biological perception systems, respiratory perception system can utilize
biological synaptic structures to response to respiratory changes dynamically and realize …

Monitoring Botrytis cinerea Infection in Kiwifruit Using Electronic Nose and Machine Learning Techniques

N Haghbin, A Bakhshipour, S Mousanejad… - Food and Bioprocess …, 2023 - Springer
Gray mold, caused by the Botrytis cinerea fungus, is the most common and destroying
disease in kiwifruit during storage. In this study, an experimental electronic nose system …

A smart gas sensor using machine learning algorithms: sensor types based on IED configurations, fabrication techniques, algorithmic approaches, challenges …

A Nasri, A Boujnah, A Boubaker… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Over the past decade, machine learning (ML) and artificial intelligence (AI) have attracted
great interest in research and various practical applications. Currently, smart, fast, and high …