Results 61 to 70 of about 2,341,542 (226)
Spatio-temporal population modelling for enhanced assessment of urban exposure to flood risk [PDF]
There is a growing need for high resolution spatio-temporal population estimates which allow accurate assessment of population exposure to natural hazards.
David Martin +5 more
core +1 more source
ABSTRACT Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunity for early detection. Current methods to assess risk of precursor lesion progression to oral cancer incompletely predict risk. A multimodal framework that leverages machine learning is needed to improve prediction.
Michael E. Troka, James C. Gates
wiley +1 more source
BEST: a web server for brain expression Spatio-temporal pattern analysis
Background Dysregulated gene expression patterns have been reported in several mental disorders. Limited by the difficulty of obtaining samples, psychiatric molecular mechanism research still relies heavily on clues from genetics studies.
Liyuan Guo +4 more
doaj +1 more source
Abstract Ductular reactions (DRs) are dynamic and complex multicellular responses that occur as a result of various hepatic injuries. Precise identification and quantification of the extent of DRs is a cornerstone of pre‐clinical modelling of liver disease, with links to inflammation, fibrosis, regeneration, and disease severity.
Nathalie Feeley +15 more
wiley +1 more source
Spatio-Temporal Database of Places Located in the Border Area
As a result of changes in boundaries, the political affiliation of locations also changes. Data on such locations are now collected in datasets with reference to the present or to the past space.
Albina Mościcka, Marta Kuźma
doaj +1 more source
Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga +5 more
wiley +1 more source
A conceptual spatio-temporal multidimensional model
Today, thanks to global positioning systems technologies and mobile devices equipped with tracking sensors, and a lot of data about moving objects can be collected, e.g., spatio-temporal data related to the movement followed by objects.
Francisco Moreno +2 more
doaj
Error in ERA5 2‐m temperature identified using GraphCast
We identify a recurrent error in ERA5 2‐m temperature over the Ethiopian Highlands that occurs predominantly at 0600 UTC on ≈7%$$ \approx 7\% $$ of dates. The artefact is caused by the 2D optimal‐interpolation scheme assimilating temporally displaced surface reports (e.g., 0900 UTC) into the 0600 UTC analysis.
Hannah M. Christensen +5 more
wiley +1 more source
Enhancing coastal flood hazard assessments through spatio-temporal event modelling at large scales
The definition of spatio-temporal extreme coastal water level events along the coast is critical for flood hazard assessments. Traditional site-by-site analyses of extreme events at large scales (thousands of kilometers) often oversimplify spatial ...
M. Alvarez-Cuesta +4 more
doaj +1 more source

