The use of deep learning in various models is a powerful tool in detecting Internet of Things
(IoT) attacks and identifying new types of intrusion to access a better secure network. The …

Many daily applications are generating massive amount of data in the form of stream at an
ever higher speed, such as medical data, clicking stream, internet record and banking …

Traffic classification is essential in network management for operations ranging from
capacity planning, performance monitoring, volumetry, and resource provisioning, to …

We examine named entity recognition (NER), an essential and commonly used first step in
many natural language processing tasks, including chatbots and language translation. We …

Several hypovigilance detection systems (HDx) were developed to avoid road-side
accidents due to driver fatigue. They have suffered from several limitations. Notably many of …

Natural Language Processing (NLP) aids the empowerment of intelligent machines by
enhancing human language understanding for linguistic-based human-computer …

近年来, 由于互联网的高速发展和大数据时代的来临, 人工智能随之大热, 而推动人工智能迅猛
发展的正是深度学习的崛起. 大数据时代需要迫切解决的问题是如何将极为复杂繁多的数据进行 …

In this paper, we study how to achieve sparse sampling and high-quality reconstruction of
natural images, and propose an interpretable deep network based on proximal gradient …

With the advancement in security and privacy on the Internet, network traffic has become
increasingly difficult to classify. Current deep learning (DL)-based encrypted network traffic …

The rise in video streaming has led to an increase in network traffic, with encrypted video
streams playing a significant role in illegal video detection. However, there are challenges in …