Traffic sign recognition is one of the most important tasks in autonomous driving. Camera-based computer vision techniques have been proposed for this task, and various convolutional neural network structures are used validated with multiple open datasets. Recently, novel Transformer-based models achieved state-of-the-art performance, outperforming networks several tasks. In study, our goal to ...

In the last years, the use of P2P applications has increased significantly and currently they represent a significant portion of the Internet traffic. In consequence of this growth, P2P traffic identification and classification are becoming increasingly important for network administrators and designers. However, this classification was not simple. Nowadays, P2P applications explicitly tried to...

Network traffic classification has become significantly important with rapid growth of current Internet network and online applications. There have been numerous studies on this topic which have led to many different approaches. Most of these approaches use predefined features extracted by an expert in order to classify network traffic. In contrast, in this study, we propose a deep learning bas...

In last decade, high bandwidth consumption of Peer to (p2p) applications hasresulted increased demandand service quality issues for critical business applications. Pastresearchsuggestedthat traffic filtering unwanted and rate limitation hungryapplications can result in fair distribution optimization available bandwidth. this context weproposed implemented internet limiter optimizer based on Fre...

Traffic classification groups similar or related traffic data, which is one main stream technique of data fusion in the field network management and security. With rapid growth users emergence new networking services, has attracted increasing attention. Many techniques have been developed widely applied. However, existing literature lacks a thorough survey to summarize, compare analyze recent a...