Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...

Polarimetry plays a key role in wide applications from remote sensing and astronomy to biology and microscopy. Traditional polarimetry systems are equipped with a set of polarizers, waveplates, ...

An electronic nose modeled on insect antennae simultaneously identifies gas mixtures and pinpoints their three-dimensional ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...