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Found 4 papers, 0 papers with code
Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports
With the booming of the unconventional oil and gas industry, its inevitable damage to the environment and human health has attracted public attention.
Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach
In this study, a new adaptive multiscale ensemble (AME) learning approach incorporating variational mode decomposition (VMD) and least square support vector regression (LSSVR) is developed for short-, medium-, and long-term seasonal and trend forecasting of tourist arrivals.
Tourism Demand Forecasting: An Ensemble Deep Learning Approach
The availability of tourism-related big data increases the potential to improve the accuracy of tourism demand forecasting, but presents significant challenges for forecasting, including curse of dimensionality and high model complexity.
AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting
Then we employ SARIMA model to forecast the periodic component, LSTM network to learn and forecast deterministic component and MLP network to forecast volatility component.
