IEEE

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...
IEEE

A Recurrent Spatio-Temporal Graph Neural Network Based on Latent Time Graph for Multi-Channel Time Series Forecasting

Abstract: With the advancement of technology, the field of multi-channel time series forecasting has emerged as a focal point of research. In this context, spatio-temporal graph neural networks have ...
GitHub

Time Series Clustering Along with Optimizations for the Dynamic Time Warping (DTW) Distance

Time series clustering with a wide variety of strategies and a series of optimizations specific to the Dynamic Time Warping (DTW) distance and its corresponding lower bounds (LBs). There are ...
GitHub

VL53L1X library for Arduino

This is a library for the Arduino IDE that helps interface with ST's VL53L1X time-of-flight distance sensor. The library makes it simple to configure the sensor and read range data from it via I²C.