AI weather models have crossed from research into routine operations at major forecasting centers. The European Centre for ...
Introduction Self-management is a key component of effective chronic obstructive pulmonary disease (COPD) management and is ...
As the energy transition accelerates, the dynamics of energy markets are evolving, market structures are becoming more complex and there is ongoing geopolitical uncertainty. The ever-expanding ...
Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. Using historical trends from the 2015 ...
The study analyzes the impact of news on asset prices within one hour of publication, employing machine learning-based classification with BERT and GPT models, as well as GloVe vector representations.
Methods: We developed population-wide depression incidence forecasting models and compared the performance of ARIMA and VARIMA-based methods to TFT-based methods. Using monthly depression incidence ...
Universidad Nacional de Tucuman was founded in 1914, to serve Tucumán, the most densely populated of Argentina’s provinces. It has 13 faculties and seven schools, including: agronomy animal science ...
Abstract: The objective-based forecasting considers the asymmetric and non-linear impacts of forecasting errors on decision objectives, thus improving the effectiveness of its downstream ...
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China University of Chinese Academy ...
Copyright: © 2020 Elsevier Ltd. All rights reserved. Cyclical patterns of seizure activity have long been recognised in patients with epilepsy, but, until the past ...
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