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In this paper we apply economic narratives to inflation forecasting using a large news corpus and machine learning algorithms. We measure economic narratives quantitatively from the full text content ...
Tourism managers and practitioners rely on accurate demand forecasting and well-informed management guidance. Given the pandemic's consequences on tourism, future analysis in the during-epidemic era i...
Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, whi...
近日,国家地理信息系统工程技术研究中心陈能成教授团队在地球科学领域顶级期刊《Earth-Science Reviews》(IF=12.413)上刊发研究成果—Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions。该文针对地球系统...
With funding from NSF, geoscientists at the University of South Florida have successfully developed and tested a new high-tech shallow water buoy that can detect the small movements and changes in the...
In 2017, operational models predicted that Hurricane Harvey would become a Category 1 hurricane. Instead, it became a massive Category 4 storm just before it made landfall, and tied Hurricane Katrina ...
The flood early warning for any country is very important due to possible saving of human life, minimizing economic losses and devising mitigation strategies. The present work highlights the experimen...
The purpose of this workshop is to bring together the leading experts, active scholars and young researchers in Dynamic Network, Spatio-Temporal Processes, and Functional Time Series under the umbrell...
深圳大学管理学院运筹学课件 FORECASTING
Although volcanic eruptions are often quite hazardous, scientists have been unable to pinpoint the processes leading up to major eruptions – and one important limitation has been a lack of knowledge a...
韩山师范学院财务管理课件第四章 Financial Forecasting
While the smart grid has the potential to have a positive impact on the sustainability and efficiency of the electricity market, it also poses some serious challenges with respect to the privacy of th...
A monitoring and forecasting sytem is developed to assess the extent and severity of agricultural droughts in the Philippines at various spacial scales and across different time periods. Using Earth o...
Radar sensors can be used for large-scale vegetation mapping and monitoring using backscatter coefficients in different polarisations and wavelength bands. Due to cloud and haze interference, optical ...
Forecasting urban expansion models are a very powerful tool in the hands of urban planners in order to anticipate and mitigate future urbanization pressures. In this paper, a linear regression forecas...

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