Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis
The significance of air pollution and the problems associated with it are fueling deployments
of air quality monitoring stations worldwide. The most common approach for air quality …
of air quality monitoring stations worldwide. The most common approach for air quality …
Machine learning applications to non-destructive defect detection in horticultural products
JFI Nturambirwe, UL Opara - Biosystems engineering, 2020 - Elsevier
Highlights•Defects affecting horticultural products and detection challenges are
summarised.•Machine learning's role in addressing issues of fruit defect detection is …
summarised.•Machine learning's role in addressing issues of fruit defect detection is …
A survey on sensor calibration in air pollution monitoring deployments
Air pollution is a major concern for public health and urban environments. Conventional air
pollution monitoring systems install a few highly accurate, expensive stations at …
pollution monitoring systems install a few highly accurate, expensive stations at …
Learning domain-invariant subspace using domain features and independence maximization
Domain adaptation algorithms are useful when the distributions of the training and the test
data are different. In this paper, we focus on the problem of instrumental variation and time …
data are different. In this paper, we focus on the problem of instrumental variation and time …
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 …
Review on algorithm design in electronic noses: Challenges, status, and trends
Electronic noses, or e-noses, refer to systems powered by chemical gas sensors, signal
processing, and machine learning algorithms for realizing artificial olfaction. They play a …
processing, and machine learning algorithms for realizing artificial olfaction. They play a …
Chemometric methods in analytical spectroscopy technology
Y Huang - Chemometric Methods in Analytical Spectroscopy …, 2022 - Springer
In recent decades, with the rapid development of artificial intelligence, data mining, and
cloud computing, new chemometric methods have sprung up and become one of the fastest …
cloud computing, new chemometric methods have sprung up and become one of the fastest …
[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 …
Noise filtering framework for electronic nose signals: An application for beef quality monitoring
Beef is one of the most popular and widely consumed foodstuffs in the world. Nevertheless,
it can easily decay if not properly treated during distribution and storage. The consumption of …
it can easily decay if not properly treated during distribution and storage. The consumption of …