Forecasting the flow of crowds is of great importance to traffic management and public safety,
and very challenging as it is affected by many complex factors, such as inter-region traffic, …

Advances in location-acquisition and wireless communication technologies have led to
wider availability of spatio-temporal (ST) data, which has unique spatial properties (ie. …

Predicting flows (eg, the traffic of vehicles, crowds, and bikes), consisting of the in-out traffic
at a node and transitions between different nodes, in a spatio-temporal network plays an …

Predicting urban traffic is of great importance to intelligent transportation systems and public
safety, yet is very challenging because of two aspects: 1) complex spatio-temporal …

Numerous sensors have been deployed in different geospatial locations to continuously and
cooperatively monitor the surrounding environment, such as the air quality. These sensors …

Elevating the charging cut-off voltage is one of the efficient approaches to boost the energy
density of Li-ion batteries (LIBs). However, this method is limited by the occurrence of severe …

Forecasting the flow of crowds is of great importance to traffic management and public safety,
and very challenging as it is affected by many complex factors, including spatial …

Electrochemical CO 2 reduction can produce valuable products with high energy densities
but the process is plagued by poor selectivities and low yields. Propanol represents a …

Estimating the travel time of any path (denoted by a sequence of connected road segments)
in a city is of great importance to traffic monitoring, route planning, ridesharing, taxi/Uber …

Electrolyte engineering advances Li metal batteries (LMBs) with high Coulombic efficiency (CE)
by constructing LiF-rich solid electrolyte interphase (SEI). However, the low conductivity …