From the days of horse and carriage, speed limit science (speed science) has been used to help establish speed limits on how ...
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 ...
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: ...
In a cafe at CERN in 1992, three physicists realized they disagreed about how many constants are needed to describe all of nature. A recent paper suggests only one – time – is necessary.
Abstract: In multivariate time series (MTS) analysis, data loss is a critical issue that degrades analytical model performance and impairs downstream tasks such as structural health monitoring (SHM) ...
Abstract: Graph neural networks (GNNs) are extensively employed in location-related scenarios, relying on aggregation to gather features from neighboring nodes based on edge weights. Features are ...