Recent developments in sensor technologies for enabling the hydrogen economy
Efforts to create a sustainable hydrogen economy are gaining momentum as governments
all over the world are investing in hydrogen production, storage, distribution, and delivery …
all over the world are investing in hydrogen production, storage, distribution, and delivery …
A comprehensive review of gallium nitride (GaN)-based gas sensors and their dynamic responses
Gas-sensing technology that is ubiquitous has progressively gained significance in our daily
lives. There is a growing requirement for real-time, dependable and low-concentration gas …
lives. There is a growing requirement for real-time, dependable and low-concentration gas …
Local dynamic neural network for quantitative analysis of mixed gases
The Gas sensor array is commonly used in combination with quantitative analysis method
for detecting mixed gases. Artificial neural network (ANN) is usually employed to achieve a …
for detecting mixed gases. Artificial neural network (ANN) is usually employed to achieve a …
Selective identification and quantification of VOCs using metal nanoparticles decorated SnO2 hollow-spheres based sensor array and machine learning
Accurate and selective detection of target gas/volatile organic compounds (VOCs) is of
utmost importance. The chemiresistive gas sensors have been a desirable candidate due to …
utmost importance. The chemiresistive gas sensors have been a desirable candidate due to …
E-nose system based on Fourier series for gases identification and concentration estimation from food spoilage
This work presents an electronic nose (EN)-based gas identification and concentration
estimation method for the detection of food spoilage. The response data of sensors were …
estimation method for the detection of food spoilage. The response data of sensors were …
A bio‐inspired neuromorphic sensory system
The advent of the intelligent society leads to the exponential growth of information, imposing
urgent requirements in a time‐and energy‐efficient way to process information where data …
urgent requirements in a time‐and energy‐efficient way to process information where data …
A Novel Calibration Scheme of Gas Sensor Array for a More Accurate Measurement Model of Mixed Gases
Gas sensor arrays (GSAs) usually encounter challenges due to the cross-contamination of
mixed gases, leading to reduced accuracy in measuring gas mixtures. However, with the …
mixed gases, leading to reduced accuracy in measuring gas mixtures. However, with the …
A multilevel interleaved group attention-based convolutional network for gas detection via an electronic nose system
In this paper, an E-nose system for industrial exhaust detection is established and a novel
deep learning model called the multilevel interleaved group attention-based convolutional …
deep learning model called the multilevel interleaved group attention-based convolutional …
Progressive prediction algorithm by multi-interval data sampling in multi-task learning for real-time gas identification
C Fu, K Zhang, H Guan, S Deng, Y Sun, Y Ding… - Sensors and Actuators B …, 2024 - Elsevier
Effective surveillance of harmful gases is paramount in the safeguard of human health and
the protection of environmental air quality, thereby emphasizing the imperative for robust …
the protection of environmental air quality, thereby emphasizing the imperative for robust …
Four levels of in-sensor computing in bionic olfaction: from discrete components to multi-modal integrations
L Liu, Y Zhang, Y Yan - Nanoscale Horizons, 2023 - pubs.rsc.org
Sensing and computing are two important ways in which humans attempt to perceive and
understand the analog world through digital devices. Analog-to-digital converters (ADCs) …
understand the analog world through digital devices. Analog-to-digital converters (ADCs) …