IEEE

Tutorial on Empirical Mode Decomposition: Basis Decomposition and Frequency Adaptive Graduation in Non-Stationary Time Series

Abstract: This tutorial explores the class of non-parametric time series basis decomposition methods particularly suited for nonstationary time series known as Empirical Mode Decomposition (EMD). In ...
IEEE

TSEA: An Open Source Python-Based Annotation Tool for Time Series Data

Abstract: We present the Time Series Event Annotator (TSEA), a graphical user interface annotation tool for time series data that enables rapid visualization, labeling, and annotation of signals, ...
GitHub

Python package to detect AKI within time series data.

The goal of this package is to establish well tested, comprehensive functions for the detection of Acute Kidney Injury (AKI) in time series data, according to the Kidney Disease Improving Global ...
TechPinas

HONOR Smartphones X vs N vs Magic Series, Explained! Where Could HONOR Power Fit in the Line-up?

If you’ve been exploring HONOR smartphones in the Philippines, you’ve probably asked yourself that exact question. Over the past few years, HONOR has built a diverse and competitive lineup covering ...
GitHub

Python Module for WAGO 750-xxx series PLCs

This third party Python module provides an abstraction layer for interacting with WAGO 750 series PLCs through Modbus TCP communication. It offers an object-oriented interface to control and monitor ...