[HTML][HTML] Review on smart gas sensing technology

S Feng, F Farha, Q Li, Y Wan, Y Xu, T Zhang, H Ning - Sensors, 2019 - mdpi.com
With the development of the Internet-of-Things (IoT) technology, the applications of gas
sensors in the fields of smart homes, wearable devices, and smart mobile terminals have …

A comprehensive survey on optimizing deep learning models by metaheuristics

B Akay, D Karaboga, R Akay - Artificial Intelligence Review, 2022 - Springer
Deep neural networks (DNNs), which are extensions of artificial neural networks, can learn
higher levels of feature hierarchy established by lower level features by transforming the raw …

[HTML][HTML] Air quality index and air pollutant concentration prediction based on machine learning algorithms

H Liu, Q Li, D Yu, Y Gu - Applied sciences, 2019 - mdpi.com
Air pollution has become an important environmental issue in recent decades. Forecasts of
air quality play an important role in warning people about and controlling air pollution. We …

Artificial Olfaction in the 21st Century

JA Covington, S Marco, KC Persaud… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The human olfactory system remains one of the most challenging biological systems to
replicate. Humans use it without thinking, where it can measure offer protection from harm …

[HTML][HTML] Establishing a sustainable low-cost air quality monitoring setup: A survey of the state-of-the-art

MV Narayana, D Jalihal, SMS Nagendra - Sensors, 2022 - mdpi.com
Low-cost sensors (LCS) are becoming popular for air quality monitoring (AQM). They
promise high spatial and temporal resolutions at low-cost. In addition, citizen science …

Improved symmetric and nonnegative matrix factorization models for undirected, sparse and large-scaled networks: A triple factorization-based approach

Y Song, M Li, X Luo, G Yang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Undirected, sparse and large-scaled networks existing ubiquitously in practical engineering
are vitally important since they usually contain rich information in various patterns. Matrix …

Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise–Part II

C Borrego, J Ginja, M Coutinho, C Ribeiro… - Atmospheric …, 2018 - Elsevier
Abstract The EuNetAir Joint Exercise focused on the evaluation and assessment of
environmental gaseous, particulate matter (PM) and meteorological microsensors versus …

[HTML][HTML] RHINOS: A lightweight portable electronic nose for real-time odor quantification in wastewater treatment plants

J Burgués, MD Esclapez, S Doñate, S Marco - IScience, 2021 - cell.com
Quantification of odor emissions in wastewater treatment plants (WWTPs) is key to minimize
odor impact to surrounding communities. Odor measurements in WWTPs are usually …

Spatial air quality index and air pollutant concentration prediction using linear regression based recursive feature elimination with random forest regression (RFERF) …

S Ketu - Natural Hazards, 2022 - Springer
In the last decade, air pollution has become one of the vital environmental issues and has
expanded its wings day by day. Prediction of air quality plays a crucial role in warning …

[HTML][HTML] Calibration update and drift correction for electronic noses and tongues

A Rudnitskaya - Frontiers in chemistry, 2018 - frontiersin.org
One of the obstacles to the wider practical use of the multisensor systems for gas and liquid
analysis—electronic noses and tongues, is the limited temporal validity of the multivariate …