… (CEN/TC 264 Air quality—Performance evaluation of air quality sensors—Part 1: Gaseous
pollutants in ambient air and Part 2: Performance evaluation of sensors for the determination …

… study [33] monitored data set of five cities in China to analyze the … Also, they have done
assessment of air quality index of each … used statistical analysis to analyze the air quality of these …

… Notably, Geodetector analysis is combined with principal component analysis (PCA) to
determine key regressors for the GWR model. More specifically, Geodetector analysis reveals …

… A monitoring network located in the area of study has … Feature transformation methods: •
Principal Component Analysis … uncorrelated variables called principal components [17]. The first …

… Real-time air quality information is very important for air pollution control and human health
protection (Lin & Zhu, 2018; Ni, Huang, & Du, 2017), which highlights the significance of …

… levels and to predict the air quality index (AQI). … Using the whole set of available variables
revealed a more successful strategy than selecting features using principal component analysis…

… water quality of the Xin’anjiang River over the past 10 years. Principal component analysis
(… evaluate the water quality across eight monitoring stations and analyze the sources of water …

… measurement of fine particulate matter mass (PM 2.5 ) enable dense networks to increase
the spatial resolution of air quality … Thus, a sparse monitoring network can lead to an …

… the interval assessment outcomes by employing the interval decision matrix followed by
the Principal Component Analysis (PCA) to assess the national energy performance of top ten …

… an air quality monitoring system to test the relevance of the Comprehensive Air Quality Index
for accurate IAQ assessment. … Multilayer perceptron, principle component analysis, support …