IEEE

Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance

Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...
GitHub

awesome-llm-time-series

Ego4D Audio, IoT Text, IMU, Video, Audio, 3D 3, 670h data, 3.85M narrations Classification, Forecasting, etc. Ego-Exo4D Audio, IoT Text, IMU, Video, Audio, Eye Gaze ...
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 ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
Yankton Press & Dakotan

Traffic Lights At Highway 52/Deer Boulevard Intersection On Full-Time Mode

The South Dakota Department of Transportation has announced that the signal lights at the intersection of Highway 52 and Deer Boulevard have returned to full-time usage. The lights have been in ...