Characterization and sparse modeling of radiation collapse and density limit in LHD
Poster, 28th IAEA Fusion Energy Conference (FEC 2020), Online
Talks and presentations
Feature extraction and likelihood estimation of radiative collapse in Large Helical Device using sparse modeling
Oral, 3rd International Conference on Data Driven Plasma Science, Online
データ駆動アプローチとシミュレーションを合わせた放射崩壊前駆現象の考察
Oral, 日本物理学会第76回年次大会（2021年）, Online
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
Oral, 第37回 プラズマ・核融合学会 年会, online
Interpretation and application of extracted features of radiative collapse in Large Helical Device with sparse modeling
Poster, 62nd Annual Meeting of the APS Division of Plasma Physics, Online
Feature extraction and prediction of radiative collapse in Large Helical Device using sparse modeling
Oral, 4th Asia-Pacific Conference on Plasma Physics, Online
Data-driven approach on the mechanism of radiative collapse in Large Helical Device
Poster, The 29th International Toki Conference, Toki, Japan/Online
LHDにおける放射崩壊の予知と物理背景のデータ駆動型研究
Oral, 日本物理学会2020年秋季大会, Online
LHDにおける放射崩壊と密度限界のデータ駆動型研究
Canceled (only abstract), 日本物理学会第75回年次大会, Remote
現地開催中止
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
Oral, 第36回 プラズマ・核融合学会 年会, Kasugai, Japan
English title: Feature extraction of radiation collapse and operational region determination in LHD
Data-driven study of high-beta disruption prediction in JT-60U using exhaustive search
Oral, 3rd Asia-Pacific Conference on Plasma Physics (AAPPS-DPP2019), Hefei, China
Applied study of feature extraction using exhaustive search on high-beta disruption in JT-60U
Poster, 3rd Asia-Pacific Conference on Plasma Physics (AAPPS-DPP2019), Hefei, China
Feature extraction and prediction of plasma termination using sparse modeling
Oral, Joint US-Japan Workshop on PostK-ECP Collaboration and JIFT Exascale Computing Collaboration, Kobe, Japan
Data-driven study on density limit and radiation collapse in stellarator-heliotron plasmas on LHD
Poster, 62nd Annual Meeting of the APS Division of Plasma Physics, Fort Lauderdale, FL, USA
Feature extraction using exhaustive search in disruption prediction based on JT-60U experimental data
Poster, 2nd International Conference on Data Driven Plasma Science, Marseille, France
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
Poster, 第35回 プラズマ・核融合学会 年会, Osaka, Japan
English title: Data-driven approach on high-beta disruption in JT-60U using exhaustive search
Disruption Prediction with Sparse Modeling by Exhaustive Search
Poster, 45th European Physical Society Conference on Plasma Physics, Prague, Czech Republic
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
Poster, 第12回核融合エネルギー連合講演会, Omi, Japan
English title: Disruption prediction using feature extraction by exhaustive search
Disruption prediction by Support Vector Machine and Neural Network with Exhaustive Search
Poster, the 26th International Toki Conference, Toki, Japan
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
Poster, Plasma Conference 2017, Himeji, Japan
English title: An Exhaustive Search with Support Vector Machine for Prediction of Disruption
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
Poster, Plasma Conference 2017, Himeji, Japan
English title: Disruption prediction by Deep Neural Network with Exhaustive Search