Convolutional Neural Networks (CNN) are already being used to perform an increasing
number of object identification challenges. Most of the existing and new computer vision …

In the field of computer vision the problem of recognition and classification is imposed, the
Convolutional Neural Networks (CNN) are a new concept for the deep learning way …

With advancement in artificial intelligence (AI), Deep learning models are used to imitate the
actions of human beings. These activities of personage are controlled by their brain and …

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 …

In intelligent transportation systems, traffic sign recognition is crucial. Driver assistance and
autonomous driving are two important functions of traffic sign detection. We present a …

This paper represents a combined model of convolutional neural network (CNN) and
support vector machine (SVM) for traffic sign recognition. This model was built by training a …

Abstract Deep Neural Networks such as Recurrent Neural Networks (RNNs) and
Convolutional Neural Networks (CNNs), have been applied in various applications …

The application fields of traffic signs recognition are multiple, including autonomous
vehicles, self-driving cars, Advanced Driver Assistance Systems (ADAS), etc. The ultimate …

This work proposes a framework that utilizes the deep learning algorithm of the Faster
Regional Convolutional Neural Network alongside the Inception v2 extractor for the …

Convolutional Neural Network (CNN) becomes one of the most preferred deep learning
method because of achieving superior success at solution of important problems of machine …