We tested the viral snow-removal method taking over algorithms, and we have thoughts. Here's what you should do next time it ...
Researchers develop a lightweight algorithm designed to reorganise network connections to enable secure, low-latency data ...
Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...
Network security has always been the focus of Internet research. In order to better detect these attacks, it is necessary to more accurately evaluate the state performance of the network. The existing ...
This package provides a Python implementation of the Fractional Vegetation Cover (FVC) algorithm described by Carlson & Ripley (1997). It converts NDVI (Normalized Difference Vegetation Index) data to ...
The PDF Association is introducing Brotli as a new compression filter for PDF 2.0. Tests show an average of 20 percent ...
Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy network connections cause massive slowdowns by flooding systems with ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
CP2K is a widely used open-source package for atomic and molecular simulations, including AI training data. A new overview ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
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