Tag: spatio-temporal

A new GCN-Transformer framework analyzes synthetic sports sensor data to model team coordination and temporal stability with high classification accuracy.

A long-term investigation in Linshu County, Northern China, revealed that mean soil pH dropped from 6.65 in 1985 to 5.40 ...

A comprehensive satellite-based study published in Air Quality, Atmosphere & Health has mapped the spatio-temporal variability of seven major air ...

A twenty-year machine learning analysis in Purulia reveals severe groundwater depletion hotspots that persist despite rising rainfall due to intensive ...

A 19-year analysis of more than 253,000 measles cases found 86.4% of Nigeria's burden concentrated in the north, with 38 ...

Researchers combined a fabricated grating with an ultrafast optically induced lattice in a low-index transparent conducting film, producing a reconfigurable ...

A systematic review and meta-analysis found expanding artemisinin-resistance markers in East Africa, declining partner-drug markers in pooled data and pronounced ...

A multi-source graph neural network predicted regional hand-injury risk in Hunan with an R² of 0.83 and identified industrial concentration ...

A Bayesian analysis of 28,151 Tanzanian children links malaria to sharply elevated anemia odds, with the strongest association among older ...

A statistical trend analysis of Ethiopia's Upper Baro River Basin reports significant warming, highly variable winter rainfall, and a significant ...