As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Theophilus Benson and his team tested the ability of some of the most popular network characterization tools to assess critical components of Africa's network infrastructure ecosystem.

Discover four key identity and access priorities for the new year to strengthen your organization's identity security ...

Spectrum Slit a light sculpture visualizes RF activity with an SDR receiver and sixty?four filament LEDs, helping you see ...

Capy, P., Bazin, C., Higuet, D. & Langin, T. (eds) Dynamics and evolution of transposable elements (Library of Congress, Austin, Texas, 1998).

Abstract: With the gradual maturity of deep learning technology and its extensive application in the field of remote sensing, hyperspectral image (HSI) classification technology has made tremendous ...

Abstract: Due to the difficulty of obtaining labeled data for hyperspectral images (HSIs), cross-scene classification has emerged as a widely adopted approach in the remote sensing community. It ...

ABSTRACT: When alternating current power transmission lines exceed a certain length, the electrical parameters become highly dependent on distance and frequency. Under these conditions, the lines ...

Run an elements regtest network with docker-compose. Three nodes are launched: a bitcoin node, and two elements nodes. The elements nodes have test coins. The node ...

(Alliance News) - Job cutting in the UK's manufacturing sector fell to its weakest since job losses started 15 months ago as growth in activity in the sector accelerated in January, data showed Monday ...