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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...
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...
Many people know that tropical cyclones and hurricanes cause high winds and storm surges. But two of their other effects, heavy rainfall and inland flooding, can be just as dangerous and impact larger...
An international group of biologists is calling for data collection on a global scale to improve forecasts of how climate change affects animals and plants. Accurate model predictions can greatly aid...
Storm surges are the major geophysical threat to life and properties in coastal regions, being more widespread and frequent than tsunamis. Yet recent storm surge events around the globe raised painful...
This paper considers nonparametric and semiparametric regression models subject to monotonicity constraint. We use bagging as an alternative approach to Hall and Huang (2001). Asymptotic properties of...
The most difficult step in hydrological forecasting is precipitation forecast, since rain is the most irregular and least predictable meteorological field. Numerical meteorological models are the main...
An attempt at forecasting the magnetic activity index three hours in advance is presented. This approach is based on a suitable treatment of time-weighted accumulations of the three-hourly magnetic in...
An autocovariance forecasting procedure for single location ionospheric characteristics is presented. Its accuracy is illustrated as a function of the amount of time extrapolation for selected Europea...

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