Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
decrease crash » increased crash (Expand Search), decreased across (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
decrease crash » increased crash (Expand Search), decreased across (Expand Search)
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Analyse vehicle–pedestrian crash severity at intersection with data mining techniques
Published 2021“…The ANN model which has the best performance is selected to determine the most significant contributing factors to the fatal and severe crashes, and the marginal effects of these factors are also analysed. …”
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Detailed information of the observation datasets.
Published 2025“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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General technical specification for GW154/6700.
Published 2025“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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