Learning the underlying patterns in data goes beyond instance-based generalization to
external knowledge represented in structured graphs or networks. Deep learning that …

Automatic detection and recognition of traffic signs is very important and could potentially be
used for driver assistance to reduce accidents and eventually in driverless automobiles. In …

Recently, the smart world, smart cars, and so on plays a major role. To ensure Traffic Safety,
the development of smart cars requires the detection and recognition of traffic signs. The …

The availability of representative datasets is an essential prerequisite for many successful
artificial intelligence and machine learning models. However, in real life applications these …

Automatic road sign recognition is one of the most important steps to help a driver prevent
accidents. In this paper, the deep convolutional neural network (Deep CNN) was used for …

Feature selection methods have been issued in the context of data classification due to
redundant and irrelevant features. The above features slow the overall system performance …

The prediction of traffic signs is critical in the development of Intelligent Vehicles [IV]. It is
critical to recognize and understand the street indicators in order to nurture intelligent …