Air Pollution Prediction
7 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Air Pollution Prediction
DEAP City Dataset
Latest papers with no code
Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review
The general objective of this paper is to systematically review applications of machine learning and Internet of Things (IoT) for outdoor air pollution prediction and the combination of monitoring sensors and input features used.
Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022
In this work we focus on gap filling in air quality data where the task is to predict the AQI at 1, 5 and 7 days into the future.
Data-driven Real-time Short-term Prediction of Air Quality: Comparison of ES, ARIMA, and LSTM
Air pollution is a worldwide issue that affects the lives of many people in urban areas.
Spatiotemporal deep learning model for citywide air pollution interpolation and prediction
In this research, we present many spatiotemporal datasets collected over Seoul city in Korea, which is currently much suffered by air pollution problem as well.
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting
Next, a new multi-objective algorithm called MOHHO is first developed in this study, which are introduced to tune the parameters of ELM model with high forecasting accuracy and stability for air pollution series prediction, simultaneously.
