Earth and Planetary Sciences
Air Pollutant
100%
Air Quality
66%
Analytical Method
100%
Effectiveness
33%
Forest
66%
Investigation
100%
Machine Learning
100%
Meteorological Parameter
100%
Model
100%
Nitrogen Dioxide
66%
Prediction
100%
Rainfall
66%
Relative Humidity
66%
Wind Velocity
66%
Keyphrases
Air Pollutants
100%
Humidity
66%
Machine Learning Prediction
100%
Meteorological Parameters
100%
Multiple Linear Regression
100%
PM10
66%
Rainfall
66%
Random Forest
66%
Sakarya
100%
Seasonal Analysis
100%
Seasonal Correlation
33%
Sustainable Urban Development
33%
Urban Planners
33%
Wind Speed
66%
INIS
air pollution
100%
artificial intelligence
100%
dynamics
40%
fruits
100%
humidity
40%
levels
40%
machine learning
100%
meteorology
100%
pollutants
60%
prediction
100%
randomness
40%
speed
40%
tools
100%
wind
40%