Hello everyone. As promised, this is sofurin56, diving into the DECT series Part 2. At the end of Part 1, I made a bold claim that "next time we will finally cover material decomposition techniques," ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Abstract: The present work deals with the improvement of short-term wind energy forecasting techniques by combining time series decomposition techniques (Wavelet Transform) and Deep Learning recurrent ...

Abstract: In this paper, based on the FT dataset, the sample data of 81 research subjects and 1049 lines in the last 2 years, data cleaning was performed to quantify and analyze them, and a Prophet ...

pyts is a Python package for time series classification. It aims to make time series classification easily accessible by providing preprocessing and utility tools, and implementations of ...

The SwarmFACE package utilizes magnetic field measurements by the Swarm satellites to study systems of field-aligned currents (FACs). Improvements of well-established techniques as well as novel ...

FDM is a nonlinear and nonstationary signal representation, decomposition and analysis method. It uses the Fourier and filter theory based zero-phase filtering for the decomposition of a signal into a ...