RETRACTED ARTICLE: Molecular communication networks: drug target scalability based on artificial intelligence prediction techniques

In recent years, more and more fast-developing high and new technologies have gradually penetrated into the power grid emergency of satellite communication equipment training, and Augmented Reality (AR) technology and Artificial Intelligence (AI) are one of them. The power communication network is an important means to ensure the safety, stability, and economic operation of the power grid, and it is also an important infrastructure for the entire power grid. Power grid emergency training is particularly important for improving the ability to respond to emergencies. The purpose of this article is to study the application of AR technology and AI satellite communication equipment in power grid emergency training. This article first analyzes the demand for training content of power grid emergency training for satellite communication equipment training. Through questionnaire surveys and interviews with relevant experts and emergency rescue teams, it summarizes the training content suitable for the application of AR technology and AI technology for power grid emergency. Then, by introducing the key technologies of the power grid emergency training of satellite communication equipment training, the application of AR technology and AI in the power grid emergency training of satellite communication equipment training is completed. The training effect data shows that 68% think that the training can improve the motivation of training by using this technology, 74% think that the overall effect of the training is good, and 66.3% think that the skill improvement effect is good, which verifies that the technology is used in power grid emergency training. It is worth promoting.

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A systematic Analysis: Molecular Information in viral Disease using Deep Learning Auto Encoder

Junejo,

2021

2021 International Conference on Computer, Blockchain and Financial Development (CBFD)

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RETRACTED ARTICLE: Molecular communication networks: drug target scalability based on artificial intelligence prediction techniques

Cited by 3 publications

References 42 publications

Deep Learning on Site‐Specific Drug Delivery System

Deep Learning on Site‐Specific Drug Delivery System

Application of Augmented Reality Technology and Artificial Intelligence Satellite Communication Equipment in Power Grid Emergency Training

A systematic Analysis: Molecular Information in viral Disease using Deep Learning Auto Encoder

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