Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

For several years, the space-based geospatial intelligence industry has been chasing a logical vision for AI: use it to make our existing systems faster and smarter. Train models to detect objects.