IEEE

Multistation Wind Speed Forecasting Based on Dynamic Spatiotemporal Graph Convolutional Networks

Abstract: Wind speed forecasting is significant in practical applications such as energy dispatch and meteorological early warning systems. However, spatiotemporal correlations of wind speed are ...
Geegeez

Topspeed Ratings on the All-Weather, Part 1

Weather, Part 1 One of the reasons Geegeez has won the Best Betting Website award eight times since 2017 has been because it ...
IEEE

Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting

Abstract: Multivariate time series is prevalent in many scientific and industrial domains. Modeling multivariate signals is challenging due to their long-range temporal dependencies and intricate ...

Time-delay cosmography may enable a speed camera for the universe

There is an important and unresolved tension in cosmology regarding the rate at which the universe is expanding, and ...
PC World

9 tips that turbocharge your Windows PC startup time

A freshly installed system starts up quickly and responds swiftly. A few updates and new software installations later, however, Windows seems to become slower and slower. There are several ways to ...
GitHub

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Foreseeing Congestion using LSTM on Urban Traffic Flow Clusters ICSAI 2019 Keras; dataset: CityPulse Using LSTM and GRU neural network methods for traffic flow prediction IEEE YAC 2016 Keras; dataset: ...