In this article, we proposed a novel edge-inferring framework with the metalearning paradigm for hyperspectral few-shot classification (HSFSC), in which a graph neural network for similarity ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

UK universities offer world-class data science programs with strong connections to the industry.Institutions such as the University of Oxford, th ...

This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...