Results 21 to 30 of about 149,509 (268)
THE ECONOMIC STRUCTURES IN THE ROMANIAN REGIONS AND COUNTIES AND THE EU MEMBER STATES. COMPARATIVE ANALYSES. [PDF]
Strategii Manageriale, 2014 Bridging the gap between countries, and thus decresing poverty, is the greatest challenge of European countries in the context of the European social cohesion.
Marioara, IORDAN +3 more
doaj
Crystal structure and elasticity of Al-bearing phase H under high pressure
AIP Advances, 2018 Al has significant effect on properties of minerals. We reported crystal structure and elasticity of phase H, an important potential water reservoir in the mantle, which contains different Al using first principles simulations for understanding the ...
Guiping Liu +8 more
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Loop Current SSH Forecasting: A New Domain Partitioning Approach for a Machine Learning Model
Forecasting, 2021 A divide-and-conquer (DAC) machine learning approach was first proposed by Wang et al. to forecast the sea surface height (SSH) of the Loop Current System (LCS) in the Gulf of Mexico.
Justin L. Wang +4 more
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Goes-13 IR Images for Rainfall Forecasting in Hurricane Storms
Forecasting, 2020 Currently, it is possible to access a large amount of satellite weather information from monitoring and forecasting severe storms. However, there are no methods of employing satellite images that can improve real-time early warning systems in different ...
Marilu Meza-Ruiz +1 more
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The Effect of Lead-Time Weather Forecast Uncertainty on Outage Prediction Modeling
Forecasting, 2021 Weather-related power outages affect millions of utility customers every year. Predicting storm outages with lead times of up to five days could help utilities to allocate crews and resources and devise cost-effective restoration plans that meet the ...
Feifei Yang +2 more
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For2For: Learning to forecast from forecasts
CoRR, 2020 This paper presents a time series forecasting framework which combines standard forecasting methods and a machine learning model. The inputs to the machine learning model are not lagged values or regular time series features, but instead forecasts produced by standard methods.
Shi Zhao, Ying Feng
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On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic
Annals of GlaciologyThis study investigates the impacts of the timing of an extreme cyclone that occurred in August 2012 on the sea-ice volume evolution based on the Arctic Ice Ocean Prediction System (ArcIOPS).
Zhongxiang Tian +5 more
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Editorial for Special Issue “New Frontiers in Forecasting the Business Cycle and Financial Markets”
Forecasting, 2021 The global financial crisis of 2007–2009 and the COVID-19 pandemic have heightened uncertainty in financial markets and the business cycle [...]
Alessia Paccagnini
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Ecology Letters, 2022 Abstract Encouraged by decision makers’ appetite for future information on topics ranging from elections to pandemics, and enabled by the explosion of data and computational methods, model‐based forecasts have garnered increasing influence on a breadth of decisions in modern society.
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SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
Forecasting, 2022 Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR model, which incorporates machine learning (ML) into the epidemiological ...
Roberto Vega +2 more
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