Abstract: Sparse transforms and dictionary learning (DL) play important roles in seismic data denoising. For high-dimensional data, most of these methods consider the data as a combination of 2-D data ...

Abstract: Data-driven machinery fault diagnosis is important for smart industrial systems to guarantee safety and reliability. However, the conventional data-driven fault diagnosis methods rely on the ...

This is tool to build a local copy of the NVD (National Vulnerabilities Database) [1] and the Japanese JVN [2], which contain security vulnerabilities according to their CVE identifiers [3] including ...

Boolean logic is an essential part of mathematics, engineering, and programming. In most languages, there's a dedicated ...

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...