AI in Information Processing and Real-Time Communication

Dear Colleagues,

Information intelligent processing technology is a cutting-edge and challenging research direction in the field of signal and information technology. It is based on artificial intelligence theory and focuses on the intelligence of information processing, including computer intelligence (intelligent processing of text, images, speech, and other information), communication intelligence, and control information intelligence. Deep learning is an artificial intelligence technology that can be used for tasks such as feature extraction, classification, and regression of signals. The main advantage of deep learning is that it can automatically learn features without the need for manual intervention. Deep learning has achieved significant results in fields such as image, speech, and natural language processing.

In traditional Ethernet, real-time data transmission is often limited due to non-deterministic factors such as collisions, delays, and jitter in the network. Time-sensitive networks (TSNs) are a transformative force in the field of real-time communication. By seamlessly integrating with existing Ethernet infrastructure and introducing a set of standards, TSN enables industries to embrace the era of instant connectivity, paving the way for innovative applications and the future of transmitting time-sensitive data with unparalleled accuracy.

The scope of this Special Issue includes, but is not limited to, the theory and methods of image, speech, and video processing based on artificial intelligence; application-oriented multimedia processing; big data and intelligent processing; application-oriented speech processing; time-sensitive network-related research content including theories and methods of time synchronization, clock synchronization, data scheduling, network configuration, traffic scheduling, simulation and verification of networks and reliability, as well as application-oriented deterministic transmission.

Prof. Dr. Yulin Wang
Prof. Dr. Cheng-Ying Yang
Prof. Dr. Fournier-Viger Philippe
Guest Editors

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