Tourism demand forecasting based on user-generated images on OTA platforms
S Ma, H Li, M Hu, H Yang, R Gan - Current Issues in Tourism, 2024 - Taylor & Francis
Tourists' images of destinations posted on online travel agency (OTA) platforms are
important information sources for potential tourists to perceive and construct destination …
important information sources for potential tourists to perceive and construct destination …
Examining and predicting the influence of climatic and terrestrial factors on the seasonal distribution of ozone column depth over Tehran province using satellite …
When combined with conducive atmospheric conditions, air pollution caused by fossil fuel
consumption associated with transportation, industry and electricity production for …
consumption associated with transportation, industry and electricity production for …
Forecasting tourism demand with search engine data: A hybrid CNN-BiLSTM model based on Boruta feature selection
J Chen, Z Ying, C Zhang, T Balezentis - Information Processing & …, 2024 - Elsevier
Using search engine data (SED) to forecast tourist flow is essential for management and
security warnings at tourist attractions. Existing prediction models cannot effectively handle …
security warnings at tourist attractions. Existing prediction models cannot effectively handle …
[HTML][HTML] Forecasting the Tourist Arrival Volumes and Tourism Income with Combined ANN Architecture in the Post COVID-19 Period: The Case of Turkey
Accurate forecasting of tourism demand and income holds paramount importance for both
the tourism industry and the national economy. This study aims to address several …
the tourism industry and the national economy. This study aims to address several …
[HTML][HTML] A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism …
JD Borrero, J Mariscal, A Vargas-Sánchez - Stats, 2022 - mdpi.com
Accurate time series prediction techniques are becoming fundamental to modern decision
support systems. As massive data processing develops in its practicality, machine learning …
support systems. As massive data processing develops in its practicality, machine learning …
A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism Sectors
JD Borrero Sánchez, J Mariscal, A Vargas Sánchez - rabida.uhu.es
Accurate time series prediction techniques are becoming fundamental to modern decision
support systems. As massive data processing develops in its practicality, machine learning …
support systems. As massive data processing develops in its practicality, machine learning …
A study on global warming based on time series prediction model
Y Zhang - Highlights in Science, Engineering and Technology, 2023 - drpress.org
Global warming is a natural phenomenon that has been hotly discussed in recent years. The
reason for this is that since the industrial revolution, human activities have become more …
reason for this is that since the industrial revolution, human activities have become more …