Advances in machine‐learning enhanced nanosensors: From cloud artificial intelligence toward future edge computing at chip level

Z Zhang, X Liu, H Zhou, S Xu, C Lee - Small Structures, 2024 - Wiley Online Library
Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …

Microheater integrated nanotube array gas sensor for parts-per-trillion level gas detection and single sensor-based gas discrimination

W Tang, Z Chen, Z Song, C Wang, Z Wan, CLJ Chan… - ACS …, 2022 - ACS Publications
Real-time monitoring of health threatening gases for chemical safety and human health
protection requires detection and discrimination of trace gases with proper gas sensors. In …

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 …

Electronic noses based on metal oxide nanowires: A review

M Tonezzer, D Thi Thanh Le, L Van Duy… - Nanotechnology …, 2022 - degruyter.com
Metal oxides are ideal for the fabrication of gas sensors: they are sensitive to many gases
while allowing the device to be simple, tiny, and inexpensive. Nonetheless, their lack of …

Inkjet‐printed rGO/binary metal oxide sensor for predictive gas sensing in a mixed environment

O Ogbeide, G Bae, W Yu, E Morrin… - Advanced Functional …, 2022 - Wiley Online Library
Selectivity for specific analytes and high‐temperature operation are key challenges for
chemiresistive‐type gas sensors. Complementary hybrid materials, such as reduced …

Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor

I Cho, K Lee, YC Sim, JS Jeong, M Cho… - Light: Science & …, 2023 - nature.com
Electronic nose (e-nose) technology for selectively identifying a target gas through
chemoresistive sensors has gained much attention for various applications, such as smart …

Identification of gas mixtures using gold-decorated metal oxide based sensor arrays and neural networks

JY Kim, SP Bharath, A Mirzaei, SS Kim… - Sensors and Actuators B …, 2023 - Elsevier
With five sensors based on In 2 O 3, SnO 2, and TiO 2 being designed, the sensor selectivity
was enhanced by using composites of the metal oxides and decorating them with catalytic …

Data-efficient machine learning algorithms for the design of surface Bragg gratings

MR Mahani, Y Rahimof, S Wenzel… - ACS Applied Optical …, 2023 - ACS Publications
Deep learning models, with a prerequisite of large databases, are common approaches in
applying machine learning for inverse design in photonics. For these models, less …

Low-Temperature NO2 Gas-Sensing System Based on Metal–Organic Framework-Derived In2O3 Structures and Advanced Machine Learning Techniques

JNO Amu-Darko, S Hussain, EA Agyekum… - Inorganic …, 2024 - ACS Publications
In the bustling metropolis of tomorrow, where pollution levels are a constant concern, a team
of innovative researchers embarked on a quest to revolutionize air quality monitoring. In …

Simultaneous Detection of CO and NO2 Gases using Interaction Analysis of SnS2 Sensor Array Response

S Kanaparthi, SG Singh - ECS Sensors Plus, 2023 - iopscience.iop.org
Developing a multi-analyte gas sensing system that simultaneously detects trace levels of
CO and NO 2 at low temperatures is necessary for the Internet of Things (IoT) based air …