In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …

Utilizing a scientometric review of global trends and structure from 388 bibliographic records
over two decades (1999–2018), this study seeks to advance the building of comprehensive …

Hand-foot-mouth disease (HFMD) is a common infectious disease in children and is
particularly severe in Guangxi, China. Meteorological conditions are known to play a pivotal …

This study proposes a novel interpretable framework to forecast the daily tourism volume of
Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the …

In protected areas (PAs), the lack of tourism impact prediction models of vegetation is a
shortcoming in PA management. Now, the main question are how recovery can be …

The echo state network (ESN) is a powerful recurrent neural network for time series
modelling. ESN inherits the simplified structure and relatively straightforward training …

In recent years, deep learning has been attracting substantial attention due to its outstanding
forecasting performance. However, the application of deep learning methods in solving the …

Background Influenza epidemics pose a threat to human health. It has been reported that
meteorological factors (MFs) are associated with influenza. This study aimed to explore the …

The tourism industry has been integrated into the national strategic system in China. Thus,
tourism demand forecasting has become a concern for the sustainable development of the …

This paper discusses the potential and the sustainability of developing nature-based tourism
in Hong Kong based on local resident and tourist perspectives. Two separate demand-side …