Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Identifying the condition of deck slab from ground-penetrating radar data using machine learning (HTT20-P07)(poster session)(abs.)

Authors=Kyosuke Onishi

Journal/Book_names=Abstracts, Japan Geoscience Union Meeting (online)

volume=2022

pages=HTT20-P07

Publish_year=2022

Publisher=Japan Geoscience Union

Language_of_Text=JA

ID=300028817

@id=https://gbank.gsj.jp/ld/resource/geolis/300028817