Robotics & Machine Learning Daily News2024,Issue(Jan.25) :68-69.

Investigators from Shandong University Release New Data on Networks (Semisupervised Deep Neural Network-based Cross-frequency Ground-penetrating Radar Data Inversion)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :68-69.

Investigators from Shandong University Release New Data on Networks (Semisupervised Deep Neural Network-based Cross-frequency Ground-penetrating Radar Data Inversion)

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Abstract

By a News Reporter-Staff News Editor at Network Daily News - A new studyon Networks is now available. According to news reporting originating from Jinan, People’s Republic ofChina, by NewsRx correspondents, research stated, “Ground-penetrating radar (GPR) with different centerfrequencies can detect defects at different depths with a range of resolutions enabling it to be used forsubsurface defect inspection. However, the existing deep learning methods cannot accurately invert thepermittivity from GPR data of different frequencies, due to the limited number of labeled GPR images forevery center frequency.”

Key words

Jinan/People’s Republic of China/Asia/Networks/Neural Networks/Shandong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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