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 ...

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 ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Datasets generally require a data dictionary that will incorporate information related to the dataset's variables and their descriptions, including the description of any variable options. This ...

This project aims to provide a series of dictionaries consisting of wordlists with accompanying phonemic pronunciation information in International Phonetic Alphabet (IPA) transcription for as many ...

The Hechinger Report covers one topic: education. Sign up for our newsletters to have stories delivered to your inbox. Consider becoming a member to support our nonprofit journalism. President Donald ...