PM2.5 Forecasting Model Using a Combination of Deep Learning and Statistical Feature Selection
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DOI: 10.1109/access.2021.3077574
Abstract: This paper proposed a PM 2.5 forecasting model using Long Short-Term Model (LSTM) sequence to sequence combined with the statistical method. Correlation Analysis, XGBoost, and Chemical processed are used as the methods to select the… read more here.
Keywords: model using; pm2 forecasting; model; forecasting model ... See more keywords
Hybrid Time-Series Framework for Daily-Based PM2.5 Forecasting
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DOI: 10.1109/access.2021.3099111
Abstract: The impact of fine particulate matter on health has captured attention worldwide. Many studies have proven that fine particulate matter harms the respiratory system and the cardiovascular system. To prevent people from being harmed, many… read more here.
Keywords: daily based; time series; framework daily; pm2 forecasting ... See more keywords