Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

Studies show that climate-driven turbulence is expected to increase further in the coming decades. See how major flight ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Interactive 3D geovirtual environments (GeoVE), such as 3D virtual city and landscape models, are important tools to communicate geo-spatial information. Usually, this includes static polygonal data ...

It extracts the data layer of land use from remote sensing image for the SWAT model of the Jinsha River in district of Panzhihua - Huili - Huidong. The methods and procedure is as follows: (1) ...

Quest said erwin Data Intelligence 14 features self-learning capabilities that “automatically evolve” the framework to meet the needs of the organization and fine-tuning data quality measures ...

I have collected occurrence data from species between the years 2000-2020. I would like to use this data to model the present-day habitat suitability. For the environmental predictors (myExpl), so far ...

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. At Data Summit 2024, ...

I used to use RSToolbox for conducting PCA's on raster data, but it relies on the raster package and is no longer actively maintained (I actually can't get it to install anymore). Since PCA is a ...

2.2 Data sources Choosing the appropriate model is the key to population spatialization, while the auxiliary data with good quality and high spatial-temporal consistency is an important factor to ...