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電子書籍・電子雑誌Progress in earth and planetary science
Volume number7
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Automated collection of single species of microfossils using a deep learning–micromanipulator system

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Automated collection of single species of microfossils using a deep learning–micromanipulator system

Persistent ID (NDL)
info:ndljp/pid/11520569
Material type
記事
Author
Takuya Itakiほか
Publisher
Springer Nature
Publication date
2020-05-24
Material Format
Digital
Journal name
Progress in earth and planetary science 7(19)
Publication Page
-
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コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他(Provided by: CiNii Research)

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Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type
記事
Author/Editor
Takuya Itaki
Yosuke Taira
Naoki Kuwamori
Publication, Distribution, etc.
Publication Date
2020-05-24
Publication Date (W3CDTF)
2020-05-24
Periodical title
Progress in earth and planetary science
No. or year of volume/issue
7(19)
Volume
7(19)
ISSN (Periodical Title)
2197-4284
ISSN-L (Periodical Title)
2197-4284
Text Language Code
eng
Persistent ID (NDL)
info:ndljp/pid/11520569
Collection (Materials For Handicapped People:1)
Collection (particular)
国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
Acquisition Basis
オンライン資料収集制度
Date Accepted (W3CDTF)
2020-08-03T12:00:21+09:00
Date Captured (W3CDTF)
2020-08-03
Format (IMT)
application/pdf
Access Restrictions
国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service
図書館・個人送信対象外
Availability of remote photoduplication service
Periodical Title (Persistent ID (NDL))
info:ndljp/pid/11467724
Data Provider (Database)
国立国会図書館 : 国立国会図書館デジタルコレクション

Digital

Summary, etc.
コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
Access Restrictions
インターネット公開
Is Referenced By
Innovative microfossil (radiolarian) analysis using a system for automated image collection and AI-based classification of species
Classifying microfossil radiolarians on fractal pre-trained vision transformers
Automated detection of microfossil fish teeth from slide images using combined deep learning models
微粒子試料の自動鑑定精度向上とハイスループット化に向けた取り組み:微化石と火山灰を例として
References
High-reliability zircon separation for hunting the oldest material on Earth: An automatic zircon separator with image-processing/microtweezers-manipulating system and double-step dating
Classification of volcanic ash particles using a convolutional neural network and probability
Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance
Online oxygen isotope analysis of sub‐milligram quantities of biogenic opal using the inductive high‐temperature carbon reduction method coupled with continuous‐flow isotope ratio mass spectrometry
Data Provider (Database)
国立情報学研究所 : CiNii Research
Bibliographic ID (NDL)
11520569