As a heat dome drives dangerous temperatures across much of the United States and renews concerns about extreme heat, USC ...

Endoscopy-based deep learning algorithms demonstrate higher sensitivity and specificity than endoscopists overall in detecting early esophageal squamous cell carcinoma.

Abstract: Although coastal classification has been attended in recent years, it is still a complicated problem in quantitative geomorphological and hydrological sciences. Nowadays, the integration of ...

Rice is the most consumed and the most traded food in the world, and so it is very important for it to be classified correctly by its qualities. In this study, the success situation in the ...

Abstract: Wildfires are a critical environmental concern, requiring accurate and timely predictive strategies to minimize their adverse impacts. Traditional Geographic Information System (GIS) data ...

Deep learning model inferencing in ArcGIS is implemented on top of the Python raster function framework. This repository serves to provide guidance on deep learning Python raster functions in ArcGIS, ...

The integration of data analytics and artificial intelligence (AI) is revolutionising the administration of climate data and provides a novel solution to the persistent challenges associated with ...

Blue Marble Geographics has released Global Mapper v26.1, introducing enhancements to its geographic information system (GIS) software. This update refines point cloud processing, expands deep ...

Geospatial artificial intelligence, or GeoAI, is a transformative technology that combines geographic information system (GIS) software with AI to radically improve the analysis and understanding of ...