A review of artificial spiking neuron devices for neural processing and sensing

JK Han, SY Yun, SW Lee, JM Yu… - Advanced Functional …, 2022 - Wiley Online Library
A spiking neural network (SNN) inspired by the structure and principles of the human brain
can significantly enhance the energy efficiency of artificial intelligence computing by …

Two-dimensional transition metal MXene-based gas sensors: A review

J Li, X Chen, X Zhu, Y Jiang, X Chang, S Sun - Chinese Chemical Letters, 2024 - Elsevier
As an emerging star in the family of two-dimensional (2D) materials, 2D transition metal
carbides, carbonitrides and nitrides, collectively referred to as MXenes, have large specific …

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 …

Multiplexed gas sensor: fabrication strategies, recent progress, and challenges

G Verma, A Gokarna, H Kadiri, K Nomenyo… - ACS …, 2023 - ACS Publications
Due to miscellaneous toxic gases in the vicinity, there is a burgeoning need for
advancement in the existing gas sensing technology not only for the survival of mankind but …

Nanostructured metal oxide heterojunctions for chemiresistive gas sensors

S Ma, J Xu - Journal of Materials Chemistry A, 2023 - pubs.rsc.org
Owing to the advantages of the high specific surface area, excellent electronic conduction
behavior, and special diffusion pathways originating from nanoscale heterojunctions, there …

Graphene-based chemiresistive gas sensors

P Recum, T Hirsch - Nanoscale Advances, 2023 - pubs.rsc.org
Gas sensors allow the monitoring of the chemical environment of humans, which is often
crucial for their wellbeing or even survival. Miniaturization, reversibility, and selectivity are …

Selective identification and quantification of VOCs using metal nanoparticles decorated SnO2 hollow-spheres based sensor array and machine learning

S Acharyya, PK Bhowmick, PK Guha - Journal of Alloys and Compounds, 2023 - Elsevier
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 …

Classification and concentration estimation of CO and NO2 mixtures under humidity using neural network-assisted pattern recognition analysis

JY Kim, SP Bharath, A Mirzaei, HW Kim… - Journal of Hazardous …, 2023 - Elsevier
This study addresses the concerns regarding the cross-sensitivity of metal oxide sensors by
building an array of sensors and subsequently utilizing machine earning techniques to …

Ultrasensitive online NO sensor based on a distributed parallel self-regulating neural network and ultraviolet differential optical absorption spectroscopy for exhaled …

R Zhu, J Gao, M Li, Y Wu, Q Gao, X Wu, Y Zhang - ACS sensors, 2024 - ACS Publications
The concentration of fractional exhaled nitric oxide (FeNO) is closely related to human
respiratory inflammation, and the detection of its concentration plays a key role in aiding …

Multitask deep learning-based pipeline for gas leakage detection via E-nose and thermal imaging multimodal fusion

O Attallah - Chemosensors, 2023 - mdpi.com
Innovative engineering solutions that are efficient, quick, and simple to use are crucial given
the rapid industrialization and technology breakthroughs in Industry 5.0. One of the areas …