most citedA Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network

5 citations · 5 across the 2 of their papers we have counts for

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stat.AP2020

Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach

Shaolong Suna, Dan Bi, Ju-e Guo +1

The accurate seasonal and trend forecasting of tourist arrivals is a very challenging task. In the view of the importance of seasonal and trend forecasting of tourist arrivals, and…

stat.AP2020

Tourism Demand Forecasting: An Ensemble Deep Learning Approach

Shaolong Sun, Yanzhao Li, Ju-e Guo +1

The availability of tourism-related big data increases the potential to improve the accuracy of tourism demand forecasting, but presents significant challenges for forecasting, inc…