[HTML][HTML] Review on smart gas sensing technology
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 …
sensors in the fields of smart homes, wearable devices, and smart mobile terminals have …
A comprehensive survey on optimizing deep learning models by metaheuristics
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 …
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 …
air quality play an important role in warning people about and controlling air pollution. We …
Artificial Olfaction in the 21st Century
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 …
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
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 …
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
Undirected, sparse and large-scaled networks existing ubiquitously in practical engineering
are vitally important since they usually contain rich information in various patterns. Matrix …
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
Abstract The EuNetAir Joint Exercise focused on the evaluation and assessment of
environmental gaseous, particulate matter (PM) and meteorological microsensors versus …
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
Quantification of odor emissions in wastewater treatment plants (WWTPs) is key to minimize
odor impact to surrounding communities. Odor measurements in WWTPs are usually …
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 …
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 …
analysis—electronic noses and tongues, is the limited temporal validity of the multivariate …