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Communication

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An Optimization Model for Appraising Intrusion-Detection Systems for Network Security Communications: Applications, Challenges, and Solutions.

Sensors (Basel, Switzerland)
Cyber-attacks are getting increasingly complex, and as a result, the functional concerns of intrusion-detection systems (IDSs) are becoming increasingly difficult to resolve. The credibility of security services, such as privacy preservation, authent...

The Application of Digital Technology in the Complex Situation of News Dissemination from the Perspective of New Media Art.

Computational intelligence and neuroscience
As the continous innovation of new media technology, the media environment of the entire society has undergone profound changes. Digital technology has had a profound impact on the way news is disseminated. It has made a significant impact on the col...

Event-Triggered Fault Detection Filter Design for Discrete-Time Memristive Neural Networks With Time Delays.

IEEE transactions on cybernetics
In this article, the fault detection (FD) filter design problem is addressed for discrete-time memristive neural networks with time delays. When constructing the system model, an event-triggered communication mechanism is investigated to reduce the c...

Phase-locking patterns underlying effective communication in exact firing rate models of neural networks.

PLoS computational biology
Macroscopic oscillations in the brain have been observed to be involved in many cognitive tasks but their role is not completely understood. One of the suggested functions of the oscillations is to dynamically modulate communication between neural ci...

A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security.

Sensors (Basel, Switzerland)
With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the direction of improving the physical layer security (PLS) paradigm. This phenomenon is due to...

Improved Deep Neural Network for Cross-Media Visual Communication.

Computational intelligence and neuroscience
Cross-media visual communication is an extremely complex task. In order to solve the problem of segmentation of visual foreground and background, improve the accuracy of visual communication scene reconstruction, and complete the task of visual real-...

English Text Recognition Deep Learning Framework to Automatically Identify Fake News.

Computational intelligence and neuroscience
Fake news spreading rapidly worldwide is considered one of the most severe problems of modern technology that needs to be addressed immediately. The remarkable increase in the use of social media as a critical source of information combined with the ...

Multimodality and Computational Intelligence-Enabled Intercultural Communicative Competence of College-English-Teaching Students.

Computational intelligence and neuroscience
With the intensification of global economic integration, international exchanges have become increasingly frequent, and employers have put forward higher requirements for ICC (Intercultural Communication Competence) of college students. In this paper...

DACFL: Dynamic Average Consensus-Based Federated Learning in Decentralized Sensors Network.

Sensors (Basel, Switzerland)
Federated Learning (FL) is a privacy-preserving way to utilize the sensitive data generated by smart sensors of user devices, where a central parameter server (PS) coordinates multiple user devices to train a global model. However, relying on central...