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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Blog Post number 4
Published:
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
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awards
publications
Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search
Published in Plasma and Fusion Research, 2018
This is a proceedings paper of ITC26
Recommended citation: YOKOYAMA, Tatsuya, et al. "Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search." Plasma and Fusion Research 13 (2018): 3405021-3405021. http://www.jspf.or.jp/PFR/PFR_articles/pfr2018/pfr2018_13-3405021.html
Prediction of high-beta disruptions in JT-60U based on sparse modeling using exhaustive search
Published in Fusion Engineering and Design, 2019
High-beta disruption prediction with ES.
Recommended citation: YOKOYAMA, Tatsuya, et al. "Prediction of high-beta disruptions in JT-60U based on sparse modeling using exhaustive search." Fusion Engineering and Design 140 (2019): 67-80. https://www.sciencedirect.com/science/article/pii/S0920379619301462?via%3Dihub
Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search
Published in Plasma and Fusion Research, 2020
This is a proceedings paper of ITC29
Recommended citation: YOKOYAMA, Tatsuya, et al. "Data-Driven Approach on the Mechanism of Radiative Collapse in the Large Helical Device." Plasma and Fusion Research 16 (2021): 2402010. http://www.jspf.or.jp/PFR/PFR_articles/pfr2021/pfr2021_16-2402010.html
Prediction of Radiative Collapse in Large Helical Device Using Feature Extraction by Exhaustive Search
Published in Journal of Fusion Energy, 2021
Radiative collapse prediction in LHD using sparse modeling.
Recommended citation: Yokoyama, Tatsuya, et al. "Prediction of Radiative Collapse in Large Helical Device Using Feature Extraction by Exhaustive Search." Journal of Fusion Energy: 1-12(2021). https://rdcu.be/cc8Q9
Likelihood Identification of High-Beta Disruption in JT-60U
Published in Plasma and Fusion Research, 2021
Recommended citation: YOKOYAMA, Tatsuya, et al. "Likelihood Identification of High-Beta Disruption in JT-60U." Plasma and Fusion Research 16 (2021): 1402073. http://www.jspf.or.jp/PFR/PFR_articles/pfr2021/pfr2021_16-1402073.html
talks
全状態探索を用いたニューラルネットワークによるディスラプション予知
Published:
English title: Disruption prediction by Deep Neural Network with Exhaustive Search
全状態探索法を用いたサポートベクターマシンによるディスラプション予知
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English title: An Exhaustive Search with Support Vector Machine for Prediction of Disruption
Disruption prediction by Support Vector Machine and Neural Network with Exhaustive Search
Published:
全状態探索による特徴抽出を用いたディスラプション予知
Published:
English title: Disruption prediction using feature extraction by exhaustive search
全状態探索によるデータ駆動アプローチを用いたJT-60U の高ベータディスラプション予知と物理背景の抽出
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English title: Data-driven approach on high-beta disruption in JT-60U using exhaustive search
Data-driven study on density limit and radiation collapse in stellarator-heliotron plasmas on LHD
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Applied study of feature extraction using exhaustive search on high-beta disruption in JT-60U
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LHDにおける放射崩壊のデータ駆動型アプローチによる特徴抽出と密度限界モデルの構築
Published:
English title: Feature extraction of radiation collapse and operational region determination in LHD
LHDにおける放射崩壊と密度限界のデータ駆動型研究
Published:
現地開催中止
データ駆動アプローチを用いた大型ヘリカル装置における放射崩壊の発生予知と発生過程の研究
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.