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 ...
Canvas, the company known for transforming how professionals measure and model physical spaces, has relaunched as Twindo, a purpose-built spatial intelligence platform. The new name and identity ...
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Vision-language models gain spatial reasoning skills through artificial worlds and 3D scene descriptions
Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making predictions accordingly. Among other things, these models could be used to ...
Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...
Testing of data provided by the Second Pipeline Construction Co. of China National Petroleum Corp. (PetroChina Pipeline) shows that using a 3D pipeline spatial-data model (PSDM) not only can further ...
The standard facilitates the representation of geometry, topology, semantics, and appearance attributes, so that urban objects can be interpreted meaningfully by different software systems. By ...
Over the last decade, spatial capture–recapture (SCR) models have become widespread for estimating demographic parameters in ecological studies. However, the underlying assumptions about animal ...
This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
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