Communication

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Approximation in shift-invariant spaces with deep ReLU neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 16, 2022
We study the expressive power of deep ReLU neural networks for approximating functions in dilated shift-invariant spaces, which are widely used in signal processing, image processing, communications and so on. Approximation error bounds are estimated...
Neural Networks, Computer Communication Image Processing, Computer-Assisted Signal Processing, Computer-Assisted
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Contemporary Value Assessment of Marxist Ideology under the Context of Deep Learning.

Computational and mathematical methods in medicine Jun 15, 2022
As a conceptual superstructure, ideology plays a very important role in national security, social stability, and healthy economic development. As a result, ideological work is critical to the Party's success, and the current focus of ideological work...
Humans Communication Deep Learning
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A Novel Deep Learning-Based Cooperative Communication Channel Model for Wireless Underground Sensor Networks.

Sensors (Basel, Switzerland) Jun 13, 2022
Wireless Underground Sensor Networks (WUSNs) have been showing prospective supervising application domains in the underground region of the earth through sensing, computation, and communication. This paper presents a novel Deep Learning (DL)-based Co...
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Algorithms Prospective Studies Reproducibility of Results Communication Deep Learning Computer Communication Networks Wireless Technology
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The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review.

Patient education and counseling Jun 12, 2022
OBJECTIVES: While the development of artificial intelligence (AI) and virtual reality (VR) technologies in medicine has been significant, their application to doctor-patient communication is limited. As communicating risk is a challenging, yet essent...
Humans Artificial Intelligence Communication Virtual Reality Physician-Patient Relations Decision Making, Shared
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Usage of Evolutionary Algorithms in Swarm Robotics and Design Problems.

Sensors (Basel, Switzerland) Jun 11, 2022
In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, which form the basis of swarm robotics, are introduced. Communication topologies in robotic swarms, which are similar to the communication methods betw...
Algorithms Communication Robotics Biological Evolution
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An Optimization Model for Appraising Intrusion-Detection Systems for Network Security Communications: Applications, Challenges, and Solutions.

Sensors (Basel, Switzerland) May 29, 2022
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...
Reproducibility of Results Communication Fuzzy Logic Uncertainty
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Conversations with the Editors: Artificial Intelligence-Based Technologies Leading the Innovation in Surgical Care.

Clinical therapeutics May 27, 2022
Humans Artificial Intelligence Communication
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The Application of Digital Technology in the Complex Situation of News Dissemination from the Perspective of New Media Art.

Computational intelligence and neuroscience May 20, 2022
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...
Neural Networks, Computer Algorithms Technology Communication Digital Technology
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Event-Triggered Fault Detection Filter Design for Discrete-Time Memristive Neural Networks With Time Delays.

IEEE transactions on cybernetics May 19, 2022
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...
Neural Networks, Computer Communication Time Factors
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Phase-locking patterns underlying effective communication in exact firing rate models of neural networks.

PLoS computational biology May 18, 2022
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...
Neural Networks, Computer Communication Models, Neurological Action Potentials Neurons
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