Due to prediction on the traffic flow is influenced by the real environment and historical data,
the produced traffic graph may include significant uncertainty. The graph convolution …

Traffic flow prediction is increasingly vital for the administration of metropolitan areas. Many
research on spatio-temporal networks have been explored but the impacts of both spatial …

Red jujube is one of the most important crops in China. In order to meet the needs of the
scientific and technological development of the jujube industry, solve the problem of poverty …

Air pollution is one of the most common health-threatening factors, potentially causing
millions of deaths every year. Static stations typically collect air pollution data by utilizing a …

Precise and timely traffic flow prediction holds significant importance in alleviating traffic
congestion. Despite the success of graph convolution traffic flow prediction methods, there is …

Enhancing the efficiency and safety of the Intelligent Transportation System requires
effective modeling and prediction of citywide traffic dynamics. Most studies employ …

The prediction of high-speed traffic flow around the city is affected by multiple factors, which
have certain particularity and difficulty. This study devised an asymmetric Bayesian …

Accurate traffic flow prediction is highly important for relieving road congestion. Due to the
intricate spatial–temporal dependence of traffic flows, especially the hidden dynamic …

A system's capacity to distinguish between human-written input and Literary Writing (LW) is
known as LW. LW entered by scanning is considered offline, but LW joined by a pen tip is …

The challenges in citywide traffic flow are intricate, encompassing various factors like
temporal and spatial dependencies, holidays, and weather. Despite the complexity, there …