Results 251 to 260 of about 916,743 (316)
Enhanced tourist flow forecasting in Aosta Valley: A novel ensemble AI framework with adaptive temporal dynamics. [PDF]
PLoS OneAlderighi M +3 more
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Computer Vision and Pattern Recognition, 2023
Image restoration under multiple adverse weather conditions aims to remove weather-related artifacts by using a single set of network parameters.
Yurui Zhu +7 more
semanticscholar +1 more source
Image restoration under multiple adverse weather conditions aims to remove weather-related artifacts by using a single set of network parameters.
Yurui Zhu +7 more
semanticscholar +1 more source
Neural general circulation models for weather and climate
Nature, 2023General circulation models (GCMs) are the foundation of weather and climate prediction1,2. GCMs are physics-based simulators that combine a numerical solver for large-scale dynamics with tuned representations for small-scale processes such as cloud ...
Dmitrii Kochkov +15 more
semanticscholar +1 more source
Computer Vision and Pattern Recognition, 2022
In this paper, an ill-posed problem of multiple adverse weather removal is investigated. Our goal is to train a model with a ‘unified’ architecture and only one set of pretrained weights that can tackle multiple types of adverse weathers such as haze ...
Wei-Ting Chen +5 more
semanticscholar +1 more source
In this paper, an ill-posed problem of multiple adverse weather removal is investigated. Our goal is to train a model with a ‘unified’ architecture and only one set of pretrained weights that can tackle multiple types of adverse weathers such as haze ...
Wei-Ting Chen +5 more
semanticscholar +1 more source
GenCast: Diffusion-based ensemble forecasting for medium-range weather
arXiv.org, 2023Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather, to planning renewable energy use.
Ilan Price +9 more
semanticscholar +1 more source
Journal of Banking & Finance, 2004
We show that results in the recent strand of the literature, which tries to explain stock returns by weather induced mood shifts of investors, might be data-driven inference. More specifically, we consider two recent studies [Kamstra, Mark J., Kramer, Lisa A., Levi, Maurice D., 2003a. Winter blues: A SAD stock market cycle.
Jacobsen, B., Marquering, W.A.
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We show that results in the recent strand of the literature, which tries to explain stock returns by weather induced mood shifts of investors, might be data-driven inference. More specifically, we consider two recent studies [Kamstra, Mark J., Kramer, Lisa A., Levi, Maurice D., 2003a. Winter blues: A SAD stock market cycle.
Jacobsen, B., Marquering, W.A.
openaire +2 more sources
Science, 2020
Coronavirus In some quarters, it is hoped that increased humidity and higher temperatures over the Northern Hemisphere in the summer will snuff out the 2020 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. In reality, the situation is likely to be more complicated than that. Baker et al.
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Coronavirus In some quarters, it is hoped that increased humidity and higher temperatures over the Northern Hemisphere in the summer will snuff out the 2020 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. In reality, the situation is likely to be more complicated than that. Baker et al.
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SSRN Electronic Journal, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Huurman +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Huurman +2 more
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Language and Linguistics Compass, 2012
AbstractThis paper summarizes current findings in the cross‐linguistic study of meteorological constructions. It provides both a typology of weather events and a typology of encoding formats used for the expression of weather in and across languages.
Pål K. Eriksen +2 more
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AbstractThis paper summarizes current findings in the cross‐linguistic study of meteorological constructions. It provides both a typology of weather events and a typology of encoding formats used for the expression of weather in and across languages.
Pål K. Eriksen +2 more
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All in One Bad Weather Removal Using Architectural Search
Computer Vision and Pattern Recognition, 2020Many methods have set state-of-the-art performance on restoring images degraded by bad weather such as rain, haze, fog, and snow, however they are designed specifically to handle one type of degradation. In this paper, we propose a method that can handle
Ruoteng Li, R. Tan, L. Cheong
semanticscholar +1 more source