Keyphrases
Air Pressure
29%
Air Quality
37%
Air Quality Prediction
12%
Artificial Intelligence
16%
Artificial Intelligence Technology
16%
Artificial Neural Network
100%
Artificial Neural Network Model
16%
Best Model
16%
Drought
25%
Drought Prediction
50%
Efficiency Value
25%
Error Value
29%
Feedforward Neural Network
16%
Fengyun-4A (FY-4A)
37%
Forecaster
16%
Forecasting Modeling
12%
Future Weather
16%
Historical Data
25%
Hourly Wind Speed
16%
Humidity
16%
Hydrological Aspects
12%
Indonesia
25%
Information-centric
12%
Intelligence Artificial
16%
Jakarta
50%
Meteorological Station
16%
Multilayer Perceptron
50%
Nash-Sutcliffe Efficiency
25%
Neural Network Algorithm
16%
Particulate Matter 2.5 (PM2.5)
50%
PM10
50%
PM10 Concentration
12%
Prediction Method
50%
Rainfall
29%
Rainfall Accumulation
12%
Rainfall Data
12%
Rainfall Intensity
16%
Safety Development
16%
SPI-3
37%
SPI1
37%
Standardized Precipitation Index
50%
Surabaya
33%
Technology Development
16%
Technology Intelligence
16%
Training Data
16%
Transportation Safety
16%
Weather Conditions
50%
Weather Forecast
16%
Weather Prediction
50%
Wind Speed
29%
Engineering
Actual Value
16%
Air Quality
40%
Artificial Intelligence
33%
Artificial Neural Network
100%
Artificial Neural Network Model
16%
Atmospheric Pressure
26%
Efficiency Value
33%
Error Value
33%
Feedforward
16%
Forecaster
16%
Good Performance
16%
Historical Data
20%
Particular Matter 2.5
50%
Perceptron
50%
Prediction Performance
16%
Quality Information
10%
Rain Gage
16%
Root Mean Square Error
16%
Span Increase
16%
Sutcliffe
33%
