In most complex classification problems, many types of features have been captured or
extracted. Feature fusion is used to combine features for better classification and to reduce data …

In this paper, an introduction of traditional time series prediction model using SVM has been
first given, and then followed by description of a new network training algorithm and a …

Driver assistance system is a kind of significant means to improve the safety and comfort of
driving. The distinctness between classic driver assistance models and cognitive driver …

Distantly supervised named entity recognition (NER), which automatically learns NER
models without manually labeling data, has gained much attention recently. In distantly …

Owing to the continuous development of GIS technology, massive GIS data is born at the
right moment. In terms of the storage of massive GIS data, to guarantee the robustness of the …

At the end of 2019, the outbreak of the COVID-19 epidemic brought huge economic losses
all around the world, and also seriously affect human work, life and study. A large number of …

In view of the damage of the emergency road network in earthquake-stricken areas to different
degrees, considering the fact that the supply of relief materials in the early stage of the …

In this paper, the modeling technology of multi agent in complex system has been employed
in natural disaster relief emergency plan deduction according to the existing emergency …

Infrastructure-based vehicular networks (consisting of a group of Base Stations (BSs) along
the road) will be widely deployed to support Wireless Access in Vehicular Environment (…

In this paper the model of the distributed decision support system with task oriented learning
function is proposed. This model is composed of local subsystems which are constructed …