Sentence examples for traffic classification from inspiring English sources

It discusses the traffic classification and conditioning functions at the edge of a Differentiated Services network.

Most of them were applied to offline traffic classification mainly due to the performance reason.

Internet traffic classification plays an important role in the field of network security and management.

First, we discuss reliable network traffic classification using network traffic flow measurement.

In this paper we describe an approach to traffic classification based on SVM.

Machine learning (ML) algorithms have been widely applied in recent traffic classification.

Then, we further optimize our previously proposed real-time ConvNet for the task of traffic sign classification and make it faster and more accurate.

The proposed method is evaluated using two publicly available datasets such as, Belgium traffic sign classification (BTSC) and German traffic sign recognition benchmark (GTSRB).

This study includes the following: derivation of formulas for converting modified axle loads to traffic volume, classification of 3 different seasons, determination of seasonal distribution and influencing coefficients, and application of modified axle load conversion formulas, among others.

Such trials are built to measure the impact of diverse factors with the end goal of designing a Convolutional Neural Network that can improve the state-of-the-art of traffic sign classification task.

Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification?