During the COVID-19 pandemic, Essex County Health Officer Maya Harlow wished she had a crystal ball that could predict where ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
From a practical lens and audience-first perspective, the featured program reveals how modern approaches in geospatial analysis turn information into tangible results for places and people.
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Urban gender-based violence (GBV) is not randomly distributed across city space, and new research shows that advanced geospatial machine learning can identify where risks concentrate with striking ...
Abstract: In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various ...
A map has revealed America’s “epilepsy belt,” highlighting how some states in particular see higher rates of the neurological condition among older adults. The first-of-its kind nationwide study ...
In recent years, Google has introduced two powerful embedding for spatial analysis: satellite imagery embeddings, which capture visual and environmental patterns from overhead imagery, and population ...
This study quantifies the nonlinear driving force of urban morphological factors on canopy urban heat island intensity (CUHII) in Anhui Province, integrating relocated meteorological station data, ...
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