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Jan, 2024
基于全数据驱动的超分辨率生成对抗网络的地震数据采样率频率增加模型
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks
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Navid Gholizadeh, Javad Katebi
TL;DR
通过利用超分辨率生成对抗网络(SRGANs)提高地震工程领域一种传感器网络数据的分辨率,本研究为结构健康监测(SHM)系统中的传感器提供了成本效益和高效的改进方案。
Abstract
High-quality data is one of the key requirements for any engineering application. In
earthquake engineering
practice, accurate data is pivotal in predicting the response of structure or damage detection process in an
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