図書

Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network for seismogram images (Mathematical engineering technical reports ; METR 2022-6)

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Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network for seismogram images

(Mathematical engineering technical reports ; METR 2022-6)

国立国会図書館請求記号
M19-D225
国立国会図書館書誌ID
032930966
資料種別
図書
著者
Ryosuke Kaneko, Hiromichi Nagao, Shin-ichi Ito, Hiroshi Tsuruoka and Kazushige Obara [著]
出版者
Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo
出版年
2022.5
資料形態
ページ数・大きさ等
24 p ; 30 cm
NDC
-
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資料種別
図書
タイトルよみ
Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network for seismogram images
著者・編者
Ryosuke Kaneko, Hiromichi Nagao, Shin-ichi Ito, Hiroshi Tsuruoka and Kazushige Obara [著]
出版年月日等
2022.5
出版年(W3CDTF)
2022
数量
24 p
大きさ
30 cm